JP2007122154A - Solution system and solution method for supply chain - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a technology for improving business earnings of a supply chain. <P>SOLUTION: A selling price and a selling speed as time series demand prediction data of a product are defined as a voltage and a current, respectively, and a load equivalent to electric resistance is assumed by applying an Ohm's law, and a load to maximize earnings calculated by subtracting production cost acquired by time-integrating the multiplied value of a hardware production speed and a hardware production price, that is, the intersection of a sales supply curve and a sales load curve is calculated from a turnover acquired by time-integrating the multiplied value of the selling speed and the selling price, and a sales curve showing a selling speed i<SB>oo</SB>, a selling price v<SB>oo</SB>, production speed i<SB>po</SB>, a production price v<SB>po</SB>, a sales supply curve, a sales load curve and a production curve corresponding to the load is displayed. Then, an analyzer refers to the sales curve to make an action instruction to a selling site, a production site and a marketing site of a company as necessary. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a technology for improving corporate profits in a supply chain.

As a technique for optimizing inventory management in the supply chain, as described in Japanese Patent Laid-Open No. 2001-14295 (Patent Document 1), the sales amount of a product is captured as demand data, and an existing demand prediction model is combined. Technologies for predicting demand have been proposed.
By the way, in recent years, in the digital home appliance industry, a problem that corporate profits are remarkably deteriorated due to price destruction due to sales competition has surfaced. For this reason, it is necessary to link the sales volume and the sales price to capture the cash flow. However, in the conventionally proposed technology, since only the sales volume of the product is focused, it has not been possible to do so. Therefore, leading companies of next-generation SCM (Supply Chain Management) solutions in the United States develop and sell software that calculates cash flow in real time using “what-if” analysis with “flow volume x sales price” as cash flow. is doing. However, since the price is very expensive and a large amount of capital is required, there are only a few companies that can enjoy the benefits. As an example of such an SCM solution, an SCM technique described in JP-T-2004-511842 (Patent Document 2) has been proposed.
JP 2001-14295 A Japanese translation of PCT publication No. 2004-511842

However, with the previously proposed SCM technology, the processing load required for demand forecasting is extremely large. Therefore, by presenting necessary information in real time to the company site in response to rapidly fluctuating demand, the human resources of the organization can save time. It was difficult to optimize the quality, cost, and delivery time of products by effectively utilizing management resources (people, goods, funds, information, knowledge) in response to Lee.
Therefore, in view of the conventional problems as described above, the present invention captures the cash flow of a product as “sales speed × sales price × time”, thereby greatly improving the computation speed through the reduction of the computation load. The purpose is to provide supply chain solution technology that can respond to various demand fluctuations in real time.

  For this reason, in the supply chain solution technology according to the present invention, the sales price and the sales speed as the time-series demand forecast data of the product are regarded as voltage and current, respectively, and the load corresponding to the electrical resistance is applied by applying Ohm's law. Assuming that revenue is obtained by subtracting the production cost obtained by time integration of the product of hardware production speed and hardware production price from the sales obtained by time integration of the product of sales speed and sales price. It is characterized by obtaining the load and displaying the sales speed, sales price, production speed and production price corresponding to the load that maximizes the profit.

  Further, the return on assets obtained by subtracting the production cost from the sales and dividing by the inventory cost, the cash flow efficiency obtained by dividing the sales by the addition obtained by adding the production cost and the soft solution cost, and the Calculate the total cash flow efficiency obtained by subtracting the subtracted value obtained by subtracting the production cost from the net sales and the subtracted value obtained by subtracting the soft solution cost from the investment cost, and display the return on assets, cash flow efficiency, and total cash flow efficiency. It is desirable to do.

  Furthermore, assuming a business model consisting of a sales subsystem, a production subsystem, and a marketing subsystem, the hardware production speed and the software solution speed in the steady state of each subsystem are represented by the inventory speed, the purchase speed, and the expense speed, respectively. Express the amount of change over time in terms of inventory, purchase, and cost using the inventory, sales, and cost factors, respectively, and solve the cash flow transient balance equation set based on these. Therefore, it is desirable to analyze the transient characteristics of cash flow.

  According to the supply chain solution technology according to the present invention, the sales price and the sales speed as the time-series demand forecast data of the product are regarded as voltage and current, respectively, and the load corresponding to the electrical resistance is assumed by applying Ohm's law. Is done. And the load that maximizes the profit by subtracting the production cost obtained by time integration of the product of hardware production speed and hardware production price from the sales obtained by time integration of the product of sales speed and sales price. The sales speed, sales price, production speed, and production price corresponding to the load are displayed. The displayed sales speed, sales price, production speed, and production price correspond to the load that maximizes profits. For example, an analyst analyzing supply chain cash flow can Thus, corporate profits can be improved by appropriately giving action instructions to sales sites, production sites and marketing sites.

In addition, the analyst can further improve corporate profits by confirming the displayed return on assets, cash flow efficiency, and total cash flow efficiency, and appropriately giving action instructions to the investment adjustment site.
Furthermore, by solving the transient balance equation of cash flow, the transient characteristics of cash flow are analyzed, so the processing load required for demand fluctuation prediction is greatly reduced, and it is possible to respond to sudden demand fluctuation in real time. it can.

First, the outline of the present invention will be described.
Consider a model consisting of a sales subsystem, a production subsystem, and a marketing subsystem as a business model for the supply chain. Here, the marketing subsystem inputs the investment production speed and the investment price, respectively, while outputting the soft solution production speed and the soft solution production price, respectively, and the production subsystem outputs the soft solution production speed output from the marketing subsystem. The hardware production speed and the hardware production price are output respectively, and the sales subsystem inputs the hardware production speed and the hardware production price output from the production subsystem, respectively. The sales price is output respectively.

  Then, for each subsystem, start by drawing a four-quadrant display curve broken down into state quantities of speed i and price v. This is, for example, a visualization of the correlation of sales speed [pieces / hr] × sales price [yen / piece] = sales force [yen / hr]. Sales time [hr] is added to sales force [yen / hr]. Is based on the basic concept of the basic theoretical algorithm that calculates sales power [yen] multiplied by, that is, sales in a time-sharing manner.

  This concept originates from the analogy between the current and voltage of electricity used in ordinary households, comparing the speed i and the price v for producing products in an economic system. In other words, electricity [J / s] corresponds to sales power [yen / hr] and electric energy [J] corresponds to sales power [yen], and the energy flow in the engineering system is applied to the cash flow in the economic system. It focuses on what is possible.

  In order to analyze the energy flow in an engineering system, an important concept is that “amount of circulation (for example, current, charge, that is, velocity of electrons per unit time)” and “amount of potential difference (for example, voltage, potential of electrons, In other words, two state quantities “value” are introduced. Then, assuming the concept of “power” by multiplying the flow volume and the amount of potential difference, by analyzing the characteristics of the energy flow obtained by multiplying the power by the operating time, the complex microscopic inherent in the system It turns out that there is an advantage that world problems can be converted into a simple macro world without losing sight of the essence of the system. This concept of distribution volume and level difference was developed by the late Professor Toshie Takahashi of Waseda University and developed into an engineering network system by the late Professor Tadahiro Machiyama. If the static characteristics of the system are obtained in advance by the flow rate and the level difference, the transient characteristics can be calculated at high speed without losing the essence of the micro world. By introducing this concept, it is possible to analyze demand fluctuations in an economic system, that is, to quickly calculate transient characteristics, and to set an optimal solution in the supply chain.

  Specifically, each subsystem of the business model corresponding to the supply chain is modeled as an npn junction diode. That is, the sales subsystem corresponds to the n-type semiconductor, the production subsystem corresponds to the p-type semiconductor, and the marketing subsystem corresponds to the n-type semiconductor. In addition, a pn junction light emitting diode or a solar cell is modeled around the production subsystem.

  As shown in FIG. 1, the pn junction between the production subsystem and the sales subsystem is determined by the product brand power, that is, the price of the product, that is, the value of the electrons flowing in the pn junction is “customer psychology. "Draws a quantum mechanical discontinuous ascending curve." This corresponds to a light emitting diode model in which a product emits high added value energy due to corporate efforts. Or it corresponds to a solar cell model in which the energy generated from the customer's willingness to purchase is obtained and the value of the product is increased. This ultimate model will be the Esaki diode model. Here, we will focus on the phenomenon in which the value of products draws a downward discontinuity curve that is quantum mechanically discontinuous due to “customer psychology” regardless of corporate efforts. This is generally called “price destruction”. This is the mechanism of the worsening profitability of the digital consumer electronics industry, which has become a hot topic recently. The best way to deal with this is to improve the brand power of the product, but it is natural to adjust the sales speed in the supply chain before entering the quantum-mechanically discontinuous region. Matching the sales load curve (straight line 1) and the sales supply curve (area 1) within the dynamic curve and maximizing the profit by subtracting the production cost from the sales is the safest and most stable method It is.

  The same applies to the pn coupling between the production subsystem and the marketing subsystem, replacing “customer psychology” with “investor psychology”. For example, if the trust of investors can be gained through business performance, it will be easier to procure business funds for new product development. As a result, it can be understood that cash flows in the pn junction between the production subsystem and the marketing subsystem, which is a source of revenue.

  By combining these modeling and considering a business model modeled as an n-pn junction transistor, which is an integrated body of each subsystem, the energy of a large source and drain current / voltage with a small gate current / voltage. The flow can be amplified and controlled. In other words, it turns out that it is possible to amplify and control cash flow by flexibly following product demand fluctuations and obtaining large profits with small investments.

Here, the demand forecast of a product is considered.
In general, many numerical analysis models for demand prediction have been developed and put into practical use based on past results, and their effects and problems have been reported. In the prior art, attention is focused on the demand prediction of the sales volume, but in the present invention, the technology is also applied to the demand prediction of the sales price of the product. Then, the demand forecast data of the sales volume and sales price of the product are linked in time series, and their approximate curves are obtained by a step function. The sales volume of a product is an approximate curve of a step function. This is differentiated with respect to time, and the sales speed of the product is obtained as an approximate value of the step function and the delta function. In addition, the relationship between the sales speed and the sales price is displayed two-dimensionally, and a concept corresponding to an electrical resistance called load impedance Z _L (τ _n ) is introduced.

In addition, assuming a sales load curve with sales speed as current, sales price as voltage, and load impedance Z _L (τ _n ) as resistance, using a model that approximates this linearly, the basic law of electric circuit Set the analogy of Ohm's law. Then, by approximating the sales speed and the sales price with a step function and a delta function, and expressing this using digital time (sampling time) τ _n , the Ohm's law relational expression can be reduced in the vicinity of time τ _n. Integrate over the interval [τ _n −ε, τ _n + ε] of time ε, and pay attention to the fact that the load impedance Z _L (τ _n ) can be quantitatively grasped by demand forecast data, sales supply line, and hardware variable cost constant described later. Take the technique. Here, the validity of the specific values of the load impedance Z _LO and the minute time ε that maximize the profit by matching the sales load curve with the sales supply curve and subtracting the production cost from the sales is the key to the present invention. It becomes.

In addition, since the product sales speed can be evaluated by the step function and the delta function, and the sales price can be evaluated by the step function, the multiplication of the sales speed and the sales price is the multiplication of the step function and the step function and the delta function and the step function. It is possible to count the sales in time series by multiplying the time by time, that is, by integrating with time (a numerical analysis method will be described later). On the other hand, the production cost can be recorded in time series by synchronizing the production speed with the sales speed. Based on these approximate models of demand forecast data, demand actual measurement data is similarly measured and processed, so that cash flows flowing in the sales subsystem can be counted in real time. When measuring demand measurement data, the interval Δτ _n (= τ _{n + 1} −τ _n ) of the digital time τ _n is accurately adjusted according to transient error fluctuations, and an approximate model of demand measurement data is created. This is an important point in conducting transient characteristic analysis.

Such real-time cash flow calculation processing can also be applied to the production subsystem and marketing subsystem. As an integrated business model, the return on assets New-ROA (Return On Asset), The efficiency η _o and the total cash flow efficiency η _t can be counted and evaluated in real time.
Here, various static characteristic coefficients used in the transient characteristic analysis of each subsystem will be described.

In the sales-production subsystem, the hardware production rate i _p can be expressed as i _p = i _α + i _Γ + i _{G where} i _α , i _Γ and i _G are the inventory rate, purchase rate and cost rate, respectively. Then, as shown in the following equation, this is measured as a temporal change amount Q _p of the inventory amount Q _α , purchase cost Q _Γ and cost amount Q _{G in} a steady state.
Q _p = Q _α + Q _Γ + Q _G
Also, paying attention to the fact that the multiplication of inventory quantity Q _α , purchase quantity Q _Γ and expense quantity Q _G , production price v _p and engagement time t is recorded in the cache of inventory cost, purchase cost and expense, As shown, the inventory coefficient C _α , the purchase coefficient Γ, and the expense coefficient G are set.

Meanwhile, Marketing - in the production subsystem, the soft solution production rate i _m, inventory velocity, purchase rate and expense rate respectively i _m.alpha, When i _Emuganma and i _mG, be expressed as _{i m = i mα + i mΓ} + i mG Can do. Then, as shown in the following equation, this is measured as a temporal change amount Q _m of the stock amount Q _mα , the purchase amount Q _mΓ and the expense amount Q _{mG in} the steady state.

Q _m = Q _mα + Q _mΓ + Q _mG
In addition, inventory levels _Q mα, the multiplication of the purchase amount _Q mΓ and expenses amount Q _mG and production price v _m and engaged in time t, inventory costs, paying attention to be recorded in the cache that the purchase costs and expenses, the following equation As shown, the inventory coefficient C _mα , the purchase coefficient Γ _m and the expense coefficient G _m are set.

Also, the total production volume of hardware and the total production volume of software solution in the hardware production system and the software solution production system are measured, respectively, and the lead times L _T and L _m from shipping to delivery as shown in the following formula. the coefficient when evaluating a value obtained by multiplying the production rate i _p and i _m and is defined as the capacitance coefficient C _p and C _m.

C _p = L _T i _p
C _m = L _m i _m
As described above, the capacitance coefficients C _p and C _m , the inventory coefficients C _α and C _mα , the purchase coefficients Γ and Γ _m and the cost coefficients G and G _m are measured in advance as the static characteristics of the system in the steady state. Therefore, it is developed for transient characteristic analysis and evaluation that is simple and capable of high-speed calculation.

Next, an embodiment of a supply chain solution system (hereinafter referred to as “solution system”) according to the present invention will be described in detail.
As shown in FIG. 2, the solution system is connected to a database (DB) 10, a DB server 20, an application server 30, a web server 40, and a network 50 such as the Internet or a LAN (Local Area Network). And at least one client 60. The marketing subsystem 70, the production subsystem 80, and the sales subsystem 90 that constitute the business model of the supply chain are connected to the web server 40 via the network 50, and at least sell each product as a time series result. The quantity [piece] and the selling price [yen / piece] are sequentially stored in the DB 10. The application server 30 is installed with programs for executing an initial setting mode based on demand prediction data and a correction mode based on fluctuating actual measurement data.

3 to 5 show the processing contents of the initial setting mode executed in the application server 30 when the solution target product is selected.
In step 1 (abbreviated as “S1” in the figure, the same applies hereinafter), based on the sales volume and sales price of the product stored in the DB 10, the sales volume D _L as shown in FIG. Demand forecast data for [piece] and sales price v _L [yen / piece] is created. Here, as a known technique, for example, “demand forecast solution FOREMAST CP” provided by Canon System Solutions Inc. is applicable.

In step 2, the sales amount D _L and the sales price v _L are approximated using the step function u as in the following equation. Here, the sales volume D _LS and the sales price v _LS are the sales volume and the sales price at time t = 0, as shown in FIG.

In step 3, using the step function u and the delta function δ, the sales speed i _L indicating the sales volume per unit time is obtained as in the following equation.

In step 4, load impedance Z _L (τ _n ) data that embodies the characteristics shown in FIG.

In step 5, it is determined whether or not the differential value obtained by time differentiation of the load impedance Z _L (τ _n ) is greater than zero. If the differential value is greater than 0, the process proceeds to step 6 (Yes). On the other hand, if the differential value is 0 or less, the routine proceeds to step 29 (No), 1 is added to N to reset the sampling number N, and then the routine returns to step 2.

In step 6, enter the sales supply curve _{v o = v fo -Z o i} o. Here, the sales supply curve defines how the sales volume changes according to the sales speed i _o , and v _fo and Z _o indicate the so-called y-intercept and slope of the straight line, respectively. .
In step 7, the production curve v _p = k _p1 / i _p + k _p2 is input. Here, the production curve defines how the production amount changes in accordance with the production speed i _p , and k _p1 and k _p2 are the following hard fixed cost constants and fluctuations: The cost constants are shown respectively.

When the number of manufactured and sold products is D [pieces], the total cost (TC) is
TC = Material costs + Labor costs + Indirect costs + General administrative costs = 76,500 + 730 D [yen]
Assuming that the unit price v of this product is
v = TC / D = (76,500 / D) +730 [yen / piece]
It becomes. Assuming that this product has a production rate i [pieces / month] for 6 months and D [pieces], the relationship between the unit price v and the production rate i is
v = (76,500 / 6) / (D / 6) + 730 = (76,500 / 6) / i + 730 [yen / piece]
It becomes.

Therefore, the relationship between the general production unit price v and the production speed i is
v = k ₁ / i + k ₂
It can be expressed as K ₁ and k ₂ used in this equation indicate a fixed cost per unit time and a variable cost per product, respectively, and are defined as “fixed cost constant” and “variable cost constant”. In the present invention, this relational expression is adopted as a basic theoretical algorithm and is used as a basis for creating a static characteristic curve in each subsystem.

In step 8, the load impedance Z _Lo that maximizes the profit obtained by subtracting the production cost from the sales is obtained using the following equation.

In step 9, the minute time ε in the demand forecast data is obtained as shown in FIG.

In Step 10, an upper limit value ε ₀ (for example, ε ₀ = 0.00001) of the minute time ε is input.
In step 11, it is determined whether or not the minute time ε is within a predetermined range greater than _{0 and} less than or equal to the upper limit value ε ₀ . If the minute time ε is within the predetermined range, the process proceeds to step 12 (Yes), while if the minute time ε is outside the predetermined range, the process returns to step 6 (No).

In step 12, a sales load curve is obtained using the following equation. Here, the sales load curve defines how the sales load changes in accordance with the sales load speed i _L , and specifically defines the straight line 1 (classical dynamic model) in FIG. It is a thing.

In step 13, sales structure constants i _oo , v _oo , i _po and v _po in the sales curve are obtained. Here, the sales structure constants i _oo and v _oo represent the coordinates of the optimum point that is the intersection of the sales supply curve and the sales load curve, and the sales structure constants i _po and v _po correspond to the optimum point in the production curve. Represents the production speed and production volume respectively.

In step 14, a sales curve as shown in FIG. 8 is created based on the sales supply curve, sales load curve, production curve, and sales structure constants i _oo , v _oo , i _po, and v _po . indicate. Here, the broken lines displayed on both sides of the sales load curve indicate how the sales load curve changes due to demand fluctuation.
At step 15, enter the marketing curve _{v m = k m1 / i m} + k m2. Here, marketing curve is for defining whether marketing weight how changes in accordance with the marketing rate i _m, its k _m1 and k _{m @ 2} is the fixed costs constant and variable costs constant marketing .

In step 16, production structure constants i _mo and v _mo in the production curve are obtained. Here, the production structure constants i _mo and v _mo respectively represent the marketing speed and the marketing amount corresponding to the optimum points (i _oo , v _oo ) in the marketing curve, and are obtained from the following relational expressions.
i _po = i _oo
v _po = k _p1 / i _po + k _p2
In step 17, a production curve as shown in FIG. 9 is created based on the production curve, marketing curve, production structure constants i _mo and v _mo , and sales structure constants i _po and v _po , and displayed on the client 60. .

In step 18, to enter the investment supply curve _{v i = v fi -Z i i} i. Here, the investment supply curve defines how the investment amount (investment amount) changes according to the investment speed i _i , and v _fi and Z _i are the so-called y-intercept of the straight line and The inclination is shown respectively.
In step 19, an investment load curve v _Li = Z _L i _Li is input. Here, the investment load curve defines how the investment load changes according to the investment load speed i _Li, and Z _L indicates a so-called slope of a straight line.

In step 20, the load impedance Z _Li that maximizes the profit obtained by subtracting the soft solution cost from the investment cost is obtained using the following equation. Here, k is a proportionality constant that defines the correlation between i _m = ki _i and marketing rate i _m investment rate i _i (factor).

In step 21, marketing structure constants i _io and v _io in the marketing curve are obtained. Here, the marketing structure constants i _io and v _io indicate the intersection of the investment supply curve and the investment load curve, and can be obtained from the following equations.

i _io = v _fi / (Z _i + Z _Li )
v _io = v _fi ―Z _i i _io
In step 22, a marketing curve as shown in FIG. 10 is created based on the investment supply curve, the investment load curve, the marketing curve, the marketing structure constants i _io and v _io and the production structure constants i _mo and v _mo . It is displayed on the client 60. Here, the broken lines displayed on both sides of the investment load curve show how the investment load curve changes due to demand fluctuation.

  In step 23, various prediction data are created using the following equations.

In step 24, main data for calculating the return on assets New-ROA, the cash flow efficiency η _o, and the total cash flow efficiency η _t is input as shown in the following equation.

In step 25, the return on assets New-ROA is obtained by subtracting the subtracted value obtained by subtracting the production cost from the sales amount by the inventory cost using the following equation.

In step 26, the cash flow efficiency η _o obtained by dividing the sales by the added value obtained by adding the production cost and the software solution cost is obtained using the following equation.

In step 27, a subtraction value obtained by subtracting the production cost from the sales amount and a subtraction value obtained by subtracting the soft solution cost from the investment cost in order to show the relationship of the output sales force to the input investment power using the following equation. The total cash flow efficiency η _t divided by is obtained.

In step 28, the return on assets New-ROA, the cash flow efficiency η _o and the total cash flow efficiency η _t are displayed on the client 60.
FIG. 11 shows the processing content of the correction mode executed in the application server 30 when the solution target product is selected.

In step 31, the capacitance coefficient C _p , the inventory coefficient C _α , the purchase coefficient Γ and the expense coefficient G in the sales-production subsystem, and the capacitance coefficient C _m in the marketing-production subsystem, the inventory coefficient, as various static characteristic coefficients. C _mα , purchase coefficient Γ _m and expense coefficient G _m are input.
In step 32, various measured data approximated in real time by a step function and a delta function are created using the following equations.

In step 33, various prediction data approximated by a step function and a delta function are created using the following equations.

In step 34, a transient balance equation of cash flow is obtained as in the following equation. That is, the hardware production speed and the software solution speed in the steady state of the sales subsystem, the production subsystem, and the marketing subsystem are represented by the inventory speed, the purchase speed, and the expense speed, respectively, and the change over time is represented by the inventory coefficient, Expressed in terms of inventory quantity, purchase quantity and expense quantity using sales coefficient and cost coefficient, respectively, and a balance equation set based on these is obtained.

In step 35, error fluctuations and responses in the sales curve, production curve and marketing curve are obtained. That is, in the case of a sales curve, a response (Δi _po , Δv _po ) to an error variation (Δi _oo , Δv _oo ) from the optimum point (i _oo , v _oo ) is obtained using the following equation. Here, L represents Laplace transform. The same applies to the production curve and marketing curve.

Further, the response Δi _po can be classified into three categories, inventory, purchase, and expense, and the necessary hardware production amount can be numerically displayed in time series. That is, human resources in the organization can perform appropriate actions with quantitativeness in a timely manner.

In step 36, the error variation and the response are displayed on the client 60, respectively.
In order to use such a solution system and improve corporate profits in the supply chain, the analyst selects a product as a solution target in the client 60 and executes an initial setting mode. Sales information (sales structure constants and sales curves), production information (production structure constants and production curves), marketing information (marketing structure constants and marketing curves), return on assets New- ROA, cash flow efficiency η ₀ and total cash flow efficiency η _t are sequentially displayed. In addition, the correction mode is executed in accordance with the initial setting mode, and error fluctuations and responses showing the transient characteristics are displayed.

The analyst confirms the error variation and response displayed on the client 60 and, if necessary, gives action instructions to the sales site, production site and marketing site, while confirming feedback from the workers at each site, Adjust sales structure constants, production structure constants, and marketing structure constants as necessary. In addition, the analyst confirms the time series data of the return on assets New-ROA, the cash flow efficiency η ₀ and the total cash flow efficiency η _t displayed on the client 60, and if necessary, returns to the investment adjustment site. Provide action instructions. That is, as shown in FIG. 1, the analyst sets the sales structure so that the return on assets New-ROA is maximized with the optimal points (i _oo , v _oo ) matching demand and supply as target values. Adjust the constants, production structure constants, and marketing structure constants as appropriate.

In the solution system, load impedance Z _L (τ _n ) is calculated at high speed in time series, and a sales curve as shown in FIG. 8 is displayed, enabling an analyst to quantitatively monitor demand fluctuations and automatically. A program that presents various numerical data for adjustment is incorporated. For this reason, a so-called “Andon” system of the so-called Toyota production system in which the client 60 prompts the analyst to operate is introduced, and high quality and reliability of the product are ensured.

Accordingly, it is possible to construct a supply chain-compatible business model that flexibly follows demand fluctuations and gives the maximum corporate profit. That is, by using the basic theoretical algorithm and incorporating the present invention into existing SCM / ERP software, it is possible to thoroughly improve the efficiency of the supply chain.
Here, a supplementary description will be given of a numerical analysis method for transient characteristic analysis of each subsystem.
(1) Calculation method of load impedance Z _L (τ _n ) (a) Classical mechanical model (straight line 1 in FIG. 1)
The sales load curve v _L is set as follows.

v _L = Z _L (t) i _L
Then, _assuming that the sales load curve Z _L (t) is continuous in the closed interval [τ _n −ε, τ _n + ε], the above equation is integrated as the following equation.

Further, an approximate curve of the sales amount D _L can be expressed by the following equation from FIG.

Accordingly, the sales speed i _L is expressed by the following equation.

On the other hand, the approximate curve of the selling price v _L can be expressed by the following equation from FIG.

Substituting the sales speed i _L and the sales price v _L into the formula (1) and rearranging them results in the following.

(B) Quantum mechanical model (straight line 2 and straight line 3 in FIG. 1)
The sales load curve is set as follows.
v _L = Z _L (t) i _L + C ₀ (C ₀ : constant)

(2) Method of calculating return on assets New-ROA The return on assets New-ROA is set as follows.

Here, placing the cash flow by subtracting the cost of production of sales and E _CF, it can be expressed by the following equation.

First, because the sales rate i _p and production speed i _o than static characteristics to synchronize, a relationship of i _p = i _o.

In other words, cash flow E _CF can be calculated as time-series data at t = τ _n.

(3) Calculation method of load impedance _ZLO that maximizes profit by subtracting production cost from sales

(4) Calculation method of load impedance Z _Li that maximizes profit by subtracting soft solution cost from investment cost

(5) Transient characteristics numerical analysis model

In the solution system, the fixed cost constant k ₁ and the variable cost coefficient k ₂ can be quantitatively evaluated by the management resources (people, goods, funds, information, knowledge) of the company. People, goods, and funds are understood in the example of the product described above. Here, the estimate specification of the product, the design specification, the inspection procedure, the manufacturing procedure, the area of information / knowledge such as the design / drawing, In other words, it has expanded to the productivity of soft solutions.

FIG. 12 shows a software solution evaluation method based on a knowledge creation theory, that is, an attempt to quantitatively evaluate the productivity of human resource thinking / behavior processes.
Conceptual knowledge assets by right-brained human resources (corresponding to Buddhist sensation), system knowledge assets by left-brained human resources (corresponding to Buddhist voices), right- and left-brain balanced human resources that convert formal knowledge as tacit knowledge and convert to routine assets Each figure shows the productivity of search-type product development (so-called new product development) by leadership-type human resources that integrate routine knowledge assets created by Buddhism (corresponding to Buddhist traps) and produce new tacit knowledge. The curve indicated by is set in advance. Then, the unit price of production [yen / KB] × production rate [KB / hr] = productivity [yen / hr] is multiplied by the engagement time [hr] to calculate the soft solution productivity [yen]. ABC (Activity Based Costing) management that rationally eliminates waste of actions is applied to the so-called utilization-type products of the conventional type.

FIG. 13 shows an “organizational development model” that summarizes these.
CEO-type human resources develop product concepts that adapt to changes in the business environment, and based on this concept, management-type human resources systematically develop the solution system of the present invention and collect them into integrated solutions. Here, the products are classified into hardware, software and solutions, and have a product system corresponding to human brain functions. The development background of the “organizational development model” as a minimum unit in the enterprise organization of human resources who produce these products and specific examples of introduction in the enterprise organization are shown below.
(1) Type of corporate organization and its product group (a) Utilization type and search type and combinations thereof In the “strategic management theory” written by Garth Salone, Andrea Shepard and Joel Bodolny, Relationships are discussed. There are two types of corporate organizations: “utilization type” and “search type”. The “utilization type” is an organization suitable for companies that make continuous and gradual changes in order to maintain existing competitive advantages. “Exploratory” is a company that is organized to develop new capabilities and constantly create competitive positions and organizational capabilities. Utilization-type learning is often gradual, and more resources are allocated to selection and maintenance by creating diversity than search-type learning. The utilization type has less organizational slack (investment in innovation and change that does not directly affect the business performance of the department) than the exploration type, is closely coupled, and is difficult to manage centrally.

  They are also different in terms of culture. Utilization organizations are focused and work-oriented. The goal of the goal is pervasive as a culture, and great execution (for example, the story of a team that has overcome all the impediments and delivered the product in time) becomes a hot topic. On the other hand, in exploratory companies, employees do not work according to strict plans (programs), but are encouraged to take risks and tolerate failures. The story tells of outrageous behavior and extraordinary creativity that has led to unexpected great success. This kind of company is a new artificial sweetener because employees who have found incomplete usage of adhesives (Post-it (registered trademark)), or licking their fingers without following the protocol, the white powder under study is sweet. Employees who have discovered (Nutra Suite (registered trademark)) are treated as heroes.

  Leveraging business managers (concludes) regrets that competitors see new opportunities before their own. Although they had similar ideas, they could be dissatisfied that they didn't catch the resources of the upper management and couldn't get the resources to turn. But (but no comfort), the reason companies actually missed the opportunity was not management mistakes, but conversely, they were well managed within the current domain. The conjugation type concentrates on the current domain, and inevitably misses new opportunities. On the other hand, managers of exploratory companies regret that other companies have the fruits of innovation they have developed, and that the market share that they originally monopolized will be devastated. Although it does not relieve pain, it is the fate (or strength) of an exploratory company.

  If there are merits in both exploration and utilization, how about doing both? Why can't companies become “the best of both” and become the ultimate exploration type and efficient utilization type? The reason is that the optimal organization design for each approach is so different that it is very difficult to excel. However, since it is difficult to survive for a long time, both pure search and utilization, there are companies that separate utilization and exploration activities into separate business units. These include Xerox (registered trademark) and Palo Alto Research Institute (PARC).

  Xerox (registered trademark) concentrated resources in the copier market, but Palo Alto Research Institute was given resources to conduct research activities in a wide area not directly related to copiers. I had the freedom to pursue my research of interest. In fact, the productivity of this investment in organizational slack is surprising, with a personal computer mouse, an Apple® computer Macintosh®, or indirectly a Microsoft® Windows® OS. Many innovations in the personal computer revolution, such as the Graphical User Interface (GUI), and the Ethernet (registered trademark) technology that started Internet development were all born from the Palo Alto Research Center.

  If the engineers at the Palo Alto Research Institute had to meet the need for a competitive advantage in the copier market, I don't think so much innovation was created. At first glance, Xerox (registered trademark) seems to have been an excellent utilization type in copiers and an excellent search type in other domains, but simply searching for other domains is not enough, Xerox (registered trademark) ) Could hardly get the value of many innovations from the Palo Alto Institute. Instead, companies like Apple (R) used innovation. Xerox (registered trademark) failed to acquire the value of innovation not because it was poorly managed, but because the management method and organization of Xerox (registered trademark) was designed for domain use of copiers too much . Palo Alto Research results do not help the existing competitive advantage of Xerox, nor does Xerox have any structure or process to capture the value of activities far away from the existing domain It was. In fact, because Xerox (registered trademark) was so successful in the copier business, it can be considered that the luxury of doing search activities that did not bring much profit was made.

  There are two important points. First, in order for a company to perform well over the long term, both utilization and exploration must be done. Second, for companies that are good at using existing domains, it is not enough to discover new domains that could benefit the company in the future, and they must find a way to incorporate and utilize those opportunities in their strategies. That is.

Here, as a method of realizing the wisdom of the Orient that controls the utilization type organization and the exploratory type organization described in the “Sons of Child”, the “organizational development model” proposed by the present applicant is adopted as a corporate organization. I would like to suggest the construction of an integrated “knowledge management system”.
(B) Company and its product group The search-type and utilization-type enterprise organizations may be regarded as being divided into right-brain and left-brain if classified according to their functions. From the viewpoint of the division of labor of the human cerebral cortex, the frontal association area at the front end of the frontal lobe has a spirit of “living well” such as thinking, creation, motivation, and emotion (joy and sadness). Rare and compatible with software. Other areas such as hearing, vision, perception, understanding, and recognition correspond to hardware (see Toshihiko Tokimi, “The Brain Seen by the Eyes”). Furthermore, the division function of the hypothalamus that controls the right and left brain may be considered to correspond to a solution (service). Louis Gersner, IBM® Chairman and CEO, said in his book “Dancing the Elephant”:

“There are several reasons why customers spend so much on their services. First, there is an extreme shortage of highly skilled computer specialists, and there are millions of people out there. Customers don't have the resources to do what they need, but a key factor is that Welsh and I discussed in the first meeting: the customer's keen desire for integrated services. However, as the network model became dominant, the need for a completely new dimension of integration emerged, and customers integrated technology in line with core business processes, as well as pricing and orders. We were forced to integrate processes such as processing and logistics. "
In other words, solutions as integrated services have appeared in the product group. Combining these exploration types, utilization types, software, hardware, and solutions, the following company product groups emerge.
・ Utilization software ERP package "SAP R / 3 (registered trademark)"
Amazon.com (registered trademark) book purchase system, utilization type hardware Dell (registered trademark) computer product, searchable software Movie work "Spirited Away"
Sony (registered trademark) PlayStation 2 (registered trademark)
・ Search hardware 3M (registered trademark) Post-it (registered trademark)
Sony (registered trademark) Walkman (registered trademark)
Toyota (registered trademark) Prius (registered trademark)
・ Utilization solution Bank ATM system ・ Search solution NTT Docomo (registered trademark) i-mode (registered trademark)
Sony (registered trademark) dog-shaped robot AIBO (registered trademark)
Canon (registered trademark) printers and integrated solutions GE (registered trademark), IBM (registered trademark), Toyota (registered trademark) and other great company system products GE (registered trademark) → Six Sigma IBM (registered trademark) → on demand business
Toyota (registered trademark) → KAIZEN As mentioned above, specific examples of company product groups have been shown. This is considered to be valuable as a method required for product positioning in the process of building business models for each company. In other words, product portfolio management developed by the Boston Consulting Group is a product group classification method that can be executed more effectively according to the brain function sharing of human resources (by Yutaka Mizukoshi, “BCG Strategy concept ”).
(2) Background of the development of the “Organizational Development Model” In Buddhist scriptures Hokke Sutra, as a way to reach Buddha's enlightenment, it is described as a saddle, a voice, a sensation, and the third power of the Buddha itself. Has been. A person who does not learn much but learns Buddha's way through real life in the world. The Buddha is considered to be the person who practices the Buddha's path, and the Buddha is the person who practices the Buddha itself. Around the 5th century B.C., Buddha was preached to teach Buddhism to break away from the origins based on the personality and thought / behavioral processes that shape human life. Dr. Roger Sperry, a US psychobiologist, was awarded the 1981 Nobel Prize for discovering that the human brain is divided into a right brain and a left brain. It is well known that the right brain is responsible for intuitive and creative functions such as spatial perception and emotional music, and the left brain is responsible for analytical and theoretical functions. The existence of the hypothalamus as a part of the brain that controls the right and left brains in a well-balanced manner has been discovered in ancient yoga in India, the root of Buddhism, and has been confirmed in modern medicine.

  And in Hokke Sutra, as a training method for the third power of Buddha, the Buddha Shinjuku is based on Rokunami Rakumi, the Shijonawaki method is used as a voice, and the Twelve Fate method is imposed. Against this backdrop, looking at the practice methods preached by Buddhist scriptures, Hokkei, in modern brain science, experience the real life of Rokunami, which is regarded as a training method that trains the hypothalamus to control the right and left brain in a balanced manner. A training method for training the left brain as a training exercise for the hypothalamic human resource that gives the training as a training subject, and for the training of the right brain It comes to understanding that the essence of Hokke Sutra's third power is to give the recognized twelve-fate method to the right brain as a subject of training. This is a systematic human resources development program to spread Buddhist teachings, and by shining the light of modern brain science, it is noticed that its rationality is amazing, and only the applicant is surprised Not sure. Many of these tips are found in Masakazu Nakayama's book “Structure of Genius / Enlightenment of Shakyamuni”, which established the Institute for Creative Engineering.

  Today, the Internet is also undergoing an information revolution, and leadership, management, specialists, and the division of CEO roles in corporate organizations are becoming clearer. Under such circumstances, when the cubes of Hokke Sutra are superimposed on each other as an aggregate, an “organizational development model” centered on France (CEO-type human resources) emerges. This is shown as “the origin of the organization development model” in FIG.

  In other words, a human resource that overlaps 菩薩 and sensation is a leadership-type HR, a human resource that overlaps 菩薩 and singing is a management-type HR, and a human resource that overlaps singing and singing is a specialist-type HR. And four human resources composed of acupuncture, voice, sensation, leadership-type human resources correspond to the four bases (A, G, C, T) of DNA that synthesizes protein, and management-type human resources are messenger RNA. In addition, it reaches an area where specialist human resources can be analogized to a genetic information network of DNA and RNA corresponding to amino acid transfer RNA. In the future, it will be important to accumulate measurement data to confirm that the “tissue development model” of a corporate organization can be evaluated by an information model incorporated in the tissue cell gene of a living organism.

  Here, looking at the SECI model advocated by Prof. Kojiro Nonaka at Hitotsubashi University Graduate School, the right brain human resources are in charge of expressing ideas, and the left brain human voice is more Linked to sophisticated knowledge, the hypothalamic human resource Tatsumi internalizes it, leadership human resources collaborate, and a new autonomous distributed leadership process emerges that spirals up the SECI cycle. The management-type human resources will spread the knowledge of the vertical and horizontal between the organizations, and the specialist-type human resources will nurture highly specialized knowledge. At this time, the self-organization of the organization adapted to the environmental change is achieved by the CEO-type human resources. These processes were obtained from the applicant's experience in developing low-activity systems for boiling water nuclear power plants and the development of jet engine blade impact force analysis models for aerospace equipment. Is. In any case, the development of an algorithm based on the core theoretical concept is very important.

  In recent decades, knowledge of human brain function has improved dramatically with the advent of PET and functional MRI (fMRI), especially in real-time bi-directional imaging of the brain function (seeing the brain) However, there are significant advances in fMRI. Buddhism as Oriental wisdom has developed the synapseability of brain cells inherent in human individuals, while Western knowledge has developed the pluggability of humans in organizations. This plug-binding ability is a term advocated by the late Dr. Bernard J. Müllertime, a US management consultant, about 30 years ago, and is used to link human brain cells with external work structures. It was. Certainly, the product group of a corporate organization is composed of exploratory products that are products of right-brained human resources, utilization-type products that are products of left-brained human resources, and integrated products produced by human resources that combine these. If so, there will be no discussion on the organizational design of companies that it is difficult to combine the search-type organization and the utilization-type organization that have been pointed out. In other words, the “organizational development model” described above may be incorporated as the minimum unit of a corporate organization.

This model has an organizational structure that can flexibly cope with both search and utilization types, and it is easy to build a knowledge management system that adapts sensitively to changes in the business environment. The problems here are the purification and power-up of the personality of the human resources that make up the “organizational development model”, and the training method for the thought / action process. As a method for solving this, fMRI is used. In Japan, mobile phones using i-mode (registered trademark) have become widespread, and moving images can be distributed over the broadband Internet using personal computers. Therefore, focusing on the fact that the dynamic pattern of human brain functions shows a unique behavior depending on its personality and thought process, a ubiquitous fMRI diagnostic service business model “anytime, anywhere, with anyone” emerges. In the future, it is a business model that will be considered in the span of 5 years, 10 years later, but human resources with highly sophisticated brain networks have been nurtured, and the corporate value has been increased by just-in-time information and knowledge in the corporate organization. I think an era of dramatic improvement will come.
(3) Specific examples of introduction of “organizational development model” in a corporate organization FIG. 15 shows aspects of human resources, things, funds, information, and knowledge that are management resources of a corporate organization as the nervous system and blood system. As a Information Traveler, using CRM software and ERP software, etc., sales, design, manufacturing, product certification, accounting, materials, personnel, daily personnel piles, volume, work in process, inventory, processes, etc. Web-PDM (mainly refers to drawings and purchase information output by 3D CAD), ERP, SCM, CRM network. In response, the Voice as Information Analyzer accumulates basic data for balance sheet, income statement and cash flow creation and conducts management analysis. And as an Information Adviser, PPM software is used to advise management executives such as CEOs on how to manage the management environment of a corporate organization. These information / knowledge flows function in two ways: bottom-up, middle-up / down, and top-down, and are shared.

  As a general employee of a business organization, Ensen produces concept knowledge assets, Hearing produces system knowledge assets, and Sakai produces routine knowledge assets. Leadership-type human resources organize and combine these knowledge assets. The chief as a Unit Leader is this mission. The section manager as Middle Manager intends to expand the role of Unit Leader as a management-type human resource with accounting and human resources as routine work. The head of the Management Leader will be the core of middle / up / down management, leading the Middle Manager's duties to the management environment, especially from the technical development aspect. The general manager as General Manager understands, maintains and manages the manufacturing status of strategic product groups based on business analysis. The Co-operate Manager grasps the management status of each business division and implements the allocation of funds, which are management resources, and the relocation of personnel. The Vice President, Vice President, consists of leadership-type human resources in charge of management organization strategy, management-type human resources in charge of accounting / finance / HR, and specialist-type human resources in charge of research / technology development, and supports the CEO from each position. The CEO has a role to move the entire company using the organization's nervous system and blood system to sensitively understand the business environment of the company, develop a management concept, and realize it.

  In order to ensure that the quality, cost, and delivery date of products produced by a corporate organization exceed the expectations of customers, the quality of individuals in the organization and the logical view must always be fostered. There is a need for a system that can provide a moderate amount of information and knowledge for anyone, anytime, anywhere, with a network of personal information and knowledge. For example, formal knowledge and tacit knowledge in personal expertise, elemental technologies and research fields that we are good at, positions as individuals that are recognized by individuals, that is, jealousy, voice, sensibility, leadership-type human resources, management-type human resources , Which is a specialist-type human resources, CEO-type human resources, what kind of human resources you want to learn in the future, what projects you want to participate in, what kind of results you want to achieve, etc. For example, a network that can exchange daily information and knowledge is constructed by using knowledge management software that processes them appropriately.

  Here, the organizational value of the CIO in charge of the company-wide information strategy and the CKO in charge of the knowledge strategy becomes important. CIO strives to develop and maintain the nervous system of corporate organizations. CKO strives to develop and maintain the blood system of corporate organizations. In particular, CKO is the core of organizing and supervising the technical strategy unit from the network of personal information and knowledge, and promoting the technical strategy of the product group of each division. As a manufacturing country, Japan is working on a national project for the 21st century with industry, government and academia. Nanotechnology, biotechnology, computer technology for the realization of a ubiquitous network society, environmentally friendly equipment such as fuel cells and low-noise cars and construction machinery, and work style transformation and brain science to enhance human ability There are various project themes, such as the development of applied technology. Responding to changes in the global corporate environment, CEO-type human resources in corporate organizations must integrate their nervous and blood systems and demonstrate creative organizational development and strategies.

  As a specific model for the integration of information and knowledge flow in a corporate organization, the development of Sony (registered trademark) dog-type robot AIBO (registered trademark) will be described as an example. Toshitada Doi was worried about Sony (registered trademark) 's large corporate illness, and developed a management concept to create a dog-shaped robot close to a living dog. It is a start as a CEO type human resource. In order to realize this management concept, Mr. Doi felt the need for leadership-type human resources and asked Mr. Tadashi Otsuki for his role. Mr. Otsuki agreed and put his soul into the development work of AIBO (registered trademark). Under the guidance of Mr. Otsuki, AIBO (registered trademark) 's affairs in charge of walking mechanisms and voices in charge of emotion expression programs were devoted to development. The sensation in charge of the walking mechanism obtained a hint of AIBO (registered trademark) walking mechanism by observing the walking of a live dog in detail. The voice of the emotional expression program was struggling to express the emotions of a live dog.

  To overcome this problem, Doi hired a part-time job woman who likes dogs very much and asked them to develop a program based on the voice of the emotion expression program and one-on-one. The female part-time job demonstrated her ability as a samurai, and the voice in charge of the emotion expression program developed a program with 100,000 lines of software code. Since Windows (registered trademark) 2000, which is an OS of a personal computer, has 20 million to 30 million lines, it may be evaluated that the AIBO (registered trademark) emotion expression program requires advanced technology. In addition to Mr. Otsuki's leadership, Mr. Doi's role as a management-type human resource who appointed a part-time woman and prepared the development environment for AIBO (registered trademark) is highly appreciated. AIBO (registered trademark) was sold online, and 3000 units were sold out in just 20 minutes. Sony (registered trademark) has made improvements to AIBO (registered trademark), nurtured specialist human resources, and can express emotions closer to live dogs.

However, the “AIBO (registered trademark) development project” was a wonderful project as described above from the knowledge creation theory. However, after the development, the related personnel became brave and disaggregated, and the significance of existence as an organization. Could not be inherited.
In light of this reflection, the present invention proposes an “organization development model” as a mechanism by which human resources in a corporate organization are rewarding and encourage continuous success and growth. By embedding this model as a cell in a corporate organization, a network that maximizes the use of information technology centered on “solution software that applies basic theoretical algorithms” is spread between each cell, thereby maximizing human resource capabilities. Pull out. In other words, a team consisting of right brain human resources, left brain human resources, right brain / left brain balanced human resources, leadership human resources, management human resources, and CEO human resources is added to the organizational development model of the corporate organizational units constituting the supply chain. Embed as minimum unit. Based on sales information, production information, marketing information, return on assets New-ROA, cash flow efficiency η ₀ and total cash flow efficiency η _t obtained from product demand forecast data, each person is placed in the right place. Assign. Then, it will be possible to flexibly adapt to changes in the corporate environment, ensuring high profitability and enabling stable corporate management.

  Here, FIG. 16 and FIG. 17 show the fMRI diagnosis service focusing on the dynamic pattern of the brain function of each human resource as a mechanism by which human resources in the organization can work with peace of mind. This is because the human resources of the organization involved in corporate management communicate using the personal information and knowledge database of the “organizational development model” organized by project, and through the work site, the dynamic pattern in their brain It is proposed as one of the ability development systems to capture the change over time with functional MRI and realize work efficiency improvement and fulfillment. FIG. 18 shows a dynamic pattern of the brain function of each human resource based on the knowledge creation theory. The fMRI diagnostic service is an important solution to realize stable corporate management that is promising and can flexibly respond to changes in the corporate environment as a mechanism to support product development that corresponds to the brain function of human resources in corporate organizations. Become.

  The present invention is integrated, and FIG. 19 shows an overall view of the solution system. In a state where there is no transient fluctuation of demand and the cash flow is stable, numerical data of the fixed cost constant k1 and the variable cost constant k2 is accumulated in the relational expression between the production unit price v and the production speed i, and the ERP It is possible to input to the system and deploy to each department in charge. Also, in transitional state changes, it is possible to cooperate with the SCM system that develops action instructions of human resources in each department using the design BOM and manufacturing BOM by calculating the cash flow response value. is there.

  This means that the structural constants of the sales subsystem, production subsystem, and marketing subsystem that make up this business model have been expanded to the ERP / SCM system, and expanded to PPM software and CRM software. It shows that the effectiveness, that is, the productivity according to the thinking / behavior process of human resources can be quantitatively grasped and evaluated by a system centered on “solution software applying basic theoretical algorithms”.

It is explanatory drawing of the sales curve showing the outline | summary of this invention. It is a basic lineblock diagram of the solution system concerning the present invention. It is a flowchart which shows the processing content of initial setting mode. It is a flowchart which shows the processing content of initial setting mode. It is a flowchart which shows the processing content of initial setting mode. An example of demand forecast data is shown, (A) is explanatory drawing of sales volume, (B) is explanatory drawing of sales speed. It is a characteristic explanatory view of load impedance. It is explanatory drawing of the sales curve shown to a client. It is explanatory drawing of the production curve shown to a client. It is explanatory drawing of the marketing curve shown to a client. It is a flowchart which shows the processing content of correction mode. It is explanatory drawing of the soft solution evaluation method by a knowledge creation theory. It is explanatory drawing of an organization development model. It is explanatory drawing of the origin of an organization development model. It is explanatory drawing of the information organization integrated model of a corporate organization. It is explanatory drawing of fMRI diagnostic service. It is explanatory drawing of a capability development program. It is explanatory drawing of the dynamic pattern of the brain function of each human resource. It is explanatory drawing of the whole image of a solution system.

Explanation of symbols

10 Database 20 Database Server 30 Application Server 40 Web Server 50 Network 60 Client 70 Marketing Subsystem 80 Production Subsystem 90 Sales Subsystem

Claims (11)

Load assumption means for assuming a load corresponding to electric resistance by applying Ohm's law, considering the sales price and sales speed as time series demand forecast data of the product as voltage and current, respectively,
Obtain the load that maximizes the profit by subtracting the production cost obtained by time integrating the product of the hardware production speed and the hardware production price from the sales obtained by time integration of the product of the sales speed and the sales price. Load calculation means;
First display means for displaying a sales speed, a sales price, a production speed, and a production price corresponding to the load determined by the load calculating means;
A supply chain solution system characterized by comprising The return on assets obtained by subtracting the production cost from the sales and dividing by the inventory cost, the cash flow efficiency obtained by dividing the sales by the added value obtained by adding the production cost and the software solution cost, and the sales A calculation means for calculating the total cash flow efficiency obtained by dividing the subtraction value obtained by subtracting the production cost from the subtraction value obtained by subtracting the soft solution cost from the investment cost;
Second display means for displaying the return on assets, cash flow efficiency and total cash flow efficiency calculated by the calculation means;
The supply chain solution system according to claim 1, further comprising:   3. The supply chain according to claim 1, wherein the load calculation unit calculates a sales amount from a sales price approximated by a step function and a sales speed approximated by a step function and a delta function. Solution system.   4. The supply speed of the supply chain according to claim 1, wherein the sales speed in the load assumption means is calculated by time-differentiating a sales price as time series demand forecast data of a product. Solution system.   Assuming a business model consisting of a sales subsystem, a production subsystem, and a marketing subsystem, the hardware production speed and software solution speed in the steady state of each subsystem are represented by inventory speed, purchase speed, and expense speed, respectively. By expressing the amount of change over time in terms of inventory quantity, purchase quantity and expense quantity using inventory coefficient, sales coefficient and cost coefficient, respectively, and solving the transient balance equation of cash flow set based on these, The supply chain solution system according to any one of claims 1 to 4, further comprising transient characteristic analysis means for analyzing a transient characteristic of cash flow. The marketing subsystem inputs investment production speed and investment price, respectively, while outputting software solution production speed and software solution production price, respectively.
The production subsystem inputs the software solution production speed and the software solution production price output from the marketing subsystem, respectively, while outputting the hardware production speed and the hardware production price,
6. The supply chain solution according to claim 5, wherein the sales subsystem inputs the hardware production speed and the hardware production price output from the production subsystem, respectively, and outputs the sales speed and the sales price, respectively. system.   The organization development model of the corporate organizational unit that constitutes the supply chain includes a team consisting of right-brained human resources, left-brained human resources, right-brain / left-brain balanced human resources, leadership human resources, management human resources, and CEO human resources. And further comprising personnel assignment means for assigning each person to an appropriate place based on the sales speed, the sales price, the production speed and the production price displayed by the first display means. The supply chain solution system according to any one of claims 1 to 6.   Using a functional MRI diagnostic service based on knowledge creation theory, paying attention to the time-dependent changes in the dynamic pattern of brain function unique to each human resource of the team that constitutes the minimum unit of the corporate organization, 8. The supply chain solution system according to claim 7, further comprising a communication means that enables communication. Assume the load corresponding to the electrical resistance by applying Ohm's law, considering the sales price and sales speed as the time-series demand forecast data of the product as voltage and current, respectively,
Obtain the load that maximizes the profit by subtracting the production cost obtained by time integrating the product of the hardware production speed and the hardware production price from the sales obtained by time integration of the product of the sales speed and the sales price. Steps,
Displaying the sales speed, sales price, production speed and production price corresponding to the load that maximizes profits;
Supply chain solution method characterized by causing computers to execute sequentially. The return on assets obtained by subtracting the production cost from the sales and dividing by the inventory cost, the cash flow efficiency obtained by dividing the sales by the added value obtained by adding the production cost and the software solution cost, and the sales Calculating the total cash flow efficiency obtained by subtracting the subtraction value obtained by subtracting the production cost from the investment value and subtracting the soft solution cost from the investment cost,
Displaying the return on assets, cash flow efficiency and total cash flow efficiency;
The supply chain solution method according to claim 9, further comprising: causing a computer to execute.   Assuming a business model consisting of a sales subsystem, a production subsystem, and a marketing subsystem, the hardware production speed and software solution speed in the steady state of each subsystem are represented by inventory speed, purchase speed, and expense speed, respectively. By expressing the amount of change over time in terms of inventory quantity, purchase quantity and expense quantity using inventory coefficient, sales coefficient and cost coefficient, respectively, and solving the transient balance equation of cash flow set based on these, 11. The supply chain solution method according to claim 9, further comprising causing the computer to execute a step of analyzing a transient characteristic of the cash flow.