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CN114254966B - Method for matching resources by using dimension groups - Google Patents

Method for matching resources by using dimension groups Download PDF

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CN114254966B
CN114254966B CN202210197370.3A CN202210197370A CN114254966B CN 114254966 B CN114254966 B CN 114254966B CN 202210197370 A CN202210197370 A CN 202210197370A CN 114254966 B CN114254966 B CN 114254966B
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孟凡淳
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Abstract

The invention discloses a method for matching resources by using dimension groups, which comprises the following steps: (1) Maintaining the dimension of the resource units, wherein the resource units form resources, and the dimension of the resource units designates specific resource units; (2) Maintaining the matching relationship between the resource unit dimension and the resource unit dimension group, wherein each resource unit dimension group corresponds to one resource; (3) When the demand unit dimension group is matched with the resource unit dimension group, allocating resources corresponding to the resource unit dimension group to the demands corresponding to the demand unit dimension group; the demand units form demands, the demand unit dimensions specify specific demand units, and each demand unit dimension group corresponds to one demand. The method of the invention can shorten the decision period.

Description

Method for matching resources by using dimension group
Technical Field
The invention relates to the technical field of supply chain intelligent decision. In particular to a method for matching resources by using dimension groups.
Background
In a consumer-centric market environment, the supply chain needs to be customized to meet the customer needs, both in terms of mass production to maintain efficiency and cost advantages. A particular order, forecast, or contract configures a particular bill of materials, with particular sources of supply including inventory, future arrival plans, suppliers, production lines, and places of inventory. For non-standard matching requirements, product structures, bill of materials or material codes need to be redefined; the management and operation costs are greatly increased and the decision cycle is also affected.
Disclosure of Invention
Therefore, the technical problem to be solved by the present invention is to provide a method for matching resources by using dimension groups, which can shorten the decision period.
In order to solve the technical problems, the invention provides the following technical scheme:
the method for matching resources by using the dimension group comprises the following steps:
(1) Maintaining the dimension of the resource units, wherein the resource units form resources, and the dimension of the resource units designates specific resource units;
(2) Maintaining the matching relationship between the resource unit dimension and the resource unit dimension group, wherein each resource unit dimension group corresponds to one resource;
(3) When the demand unit dimension group is matched with the resource unit dimension group, resources corresponding to the resource unit dimension group are allocated to the demands corresponding to the demand unit dimension group; the demand units constitute demands, the demand unit dimensions specify specific demand units, and each demand unit dimension group corresponds to a demand.
The method for matching resources by using dimension groups comprises the following steps of (1): according to the practical conditions (known requirements, production requirements and order requirements), different primary resource dimensions are used for appointing primary resource units in the resource units, and when the resource units have different primary resource dimensions, the resource units correspond to two or more different primary resource dimensions.
The method for matching resources by using dimension groups comprises the following steps of (1): if a certain primary resource dimension designates primary resource units belonging to two or more types according to actual conditions, designating secondary resource units in the primary resource units by using different secondary resource dimensions according to the actual conditions; and repeating the steps until the N-level resource units belong to the same resource unit class (not reclassifiable) according to the actual situation, wherein N is a positive integer larger than 1.
The method for matching resources by using dimension groups comprises the following steps of (2): each resource unit dimension group comprises one or more than one primary resource dimension, a secondary resource dimension corresponding to each primary resource dimension, a secondary resource dimension, and a tertiary resource dimension \8230 \ 8230 \ and N-1 level resource dimensions, and N-1 level resource dimensions corresponding to each N-1 level resource dimension, wherein N is a positive integer greater than 1.
In the method for matching resources by using dimension groups, in step (3): according to the method for maintaining the resource unit dimension, the requirement is converted into a demand unit, a first-level demand unit in the demand unit is specified by the first-level demand dimension, and when the demand unit has different first-level demand dimensions, the demand unit corresponds to two or more different first-level demand dimensions.
In the method for matching resources by using dimension groups, in step (3): if a certain primary demand dimension designates primary demand units belonging to two or more types, designating secondary demand units in the primary demand units by using different secondary demand dimensions; by analogy, until the M-level demand units belong to the same type of demand units [ cannot be reclassified ], M is a positive integer greater than 1.
In the method for matching resources by using dimension groups, in step (3): each demand unit dimension group comprises one or more than one primary demand dimension, a secondary demand dimension corresponding to each primary demand dimension, a secondary demand dimension, and a tertiary demand dimension \8230correspondingto each secondary demand dimension, wherein M is a positive integer larger than 1, and M-level demand dimensions corresponding to M-1 demand dimensions and M-level demand dimensions corresponding to each M-1 demand dimension.
The method for matching resources by using dimension groups comprises the following steps in step (2):
(2-1) finding out the same resource unit dimensions involved in all the resource unit dimension groups, and respectively generating a resource unit dimension and a resource unit dimension corresponding list according to the same resource unit dimensions;
(2-2) judging whether the resource unit dimension groups conflict with each other;
(2-3) if there is a conflict between the resource unit dimension groups, generating a resource unit dimension group conflict list.
The method for matching resources by using dimension groups comprises the following steps of (3): and when the demand unit dimension group is matched with the resource unit dimension group, determining whether the resources corresponding to the resource unit dimension group can be allocated to the demands corresponding to the demand unit dimension group according to the resource unit dimension group priority, the resource unit dimension group conflict list and the demand unit dimension group priority.
The method for matching resources by using dimension groups comprises the following steps of (1): according to the practical conditions (known requirements, production requirements and order requirements), assigning primary resource units in the resource units by using different primary resource dimensions, wherein when the resource units have different primary resource dimensions, the resource units correspond to two or more different primary resource dimensions; if a certain primary resource dimension designates primary resource units belonging to two or more types according to actual conditions, designating secondary resource units in the primary resource units by using different secondary resource dimensions according to the actual conditions; by analogy, until the N-level resource units belong to the same resource unit class (not reclassifiable) according to the actual situation, N is a positive integer greater than 1;
in step (2): each resource unit dimension group comprises one or more than one primary resource dimension, a secondary resource dimension corresponding to each primary resource dimension, a secondary resource dimension, and a tertiary resource dimension \8230correspondingto each secondary resource dimension, \8230, N-1 level resource dimensions, and N-1 level resource dimensions corresponding to each N-1 level resource dimension, wherein N is a positive integer greater than 1;
in step (3): converting the demand into a demand unit according to a resource unit dimension maintenance method, and specifying a primary demand unit in the demand unit by using a primary demand dimension, wherein when the demand unit has different primary demand dimensions, the demand unit corresponds to two or more different primary demand dimensions; if a certain primary demand dimension designates primary demand units belonging to two or more types, designating secondary demand units in the primary demand units by using different secondary demand dimensions; by analogy, until the M-level demand units belong to the same type demand units (cannot be reclassified), M is a positive integer larger than 1; each requirement unit dimension group comprises one or more than one primary requirement dimension, a secondary requirement dimension corresponding to each primary requirement dimension, a secondary requirement dimension, and a tertiary requirement dimension \8230; \ 8230;, an M-1 level requirement dimension, and an M-1 level requirement dimension corresponding to each M-1 level requirement dimension, wherein M is a positive integer greater than 1.
The method for matching resources by using dimension groups comprises the following steps in step (2):
(2-1) finding out the same resource unit dimensions involved in all the resource unit dimension groups, and respectively generating a resource unit dimension and a resource unit dimension corresponding list according to the same resource unit dimensions;
(2-2) judging whether the resource unit dimension groups conflict with each other;
(2-3) if there is a conflict between the resource unit dimension groups, generating a resource unit dimension group conflict list.
The method for matching resources by using dimension groups comprises the following steps of (3): when the demand unit dimension group is matched with the resource unit dimension group, whether the resources corresponding to the resource unit dimension group can be allocated to the demands corresponding to the demand unit dimension group is determined according to the resource unit dimension group priority, the resource unit dimension group conflict list and the demand unit dimension group priority.
The technical scheme of the invention achieves the following beneficial technical effects: the inventive application heuristic artificial intelligence algorithm is widely suitable for complex decision conditions, efficiently understands and controls decision data quantity, can effectively shorten decision period, can effectively meet given constraint conditions and tends to optimal decision.
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FIG. 1 is a flow chart of a method of the present invention for matching resources using dimension groups.
Detailed Description
Example 1
The method for matching resources by using dimension groups in the embodiment comprises the following steps:
(1) Maintaining the dimension of the resource units, wherein the resource units form resources, and the dimension of the resource units designates specific resource units;
according to the practical conditions (known requirements, production requirements and order requirements), assigning primary resource units in the resource units by using different primary resource dimensions, wherein when the resource units have different primary resource dimensions, the resource units correspond to two or more different primary resource dimensions; if a certain primary resource dimension designates primary resource units belonging to two or more types according to actual conditions, designating secondary resource units in the primary resource units by using different secondary resource dimensions according to the actual conditions; by analogy, until N-level resource units belong to the same resource unit (which cannot be reclassified) according to actual conditions, wherein N is a positive integer greater than 1;
(2) Maintaining the matching relationship between the resource unit dimension and the resource unit dimension group, wherein each resource unit dimension group corresponds to one resource;
each resource unit dimension group comprises one or more than one primary resource dimension, a secondary resource dimension corresponding to each primary resource dimension, a secondary resource dimension, and a tertiary resource dimension \8230correspondingto each secondary resource dimension, \8230, an N-1 level resource dimension, and an N level resource dimension corresponding to each N-1 level resource dimension, wherein N is a positive integer greater than 1;
(3) When the demand unit dimension group is matched with the resource unit dimension group, allocating resources corresponding to the resource unit dimension group to the demands corresponding to the demand unit dimension group; the demand units form demands, the demand unit dimensions specify specific demand units, and each demand unit dimension group corresponds to one demand.
Converting the demand into a demand unit according to a resource unit dimension maintenance method, and designating a primary demand unit in the demand unit by using a primary demand dimension, wherein when the demand unit has different primary demand dimensions, the demand unit corresponds to two or more different primary demand dimensions; if a certain primary demand dimension designates primary demand units belonging to two or more types, designating secondary demand units in the primary demand units by using different secondary demand dimensions; by analogy, until the M-level demand units belong to the same type demand units (cannot be reclassified), M is a positive integer larger than 1; each demand unit dimension group comprises one or more than one primary demand dimension, a secondary demand dimension corresponding to each primary demand dimension, a secondary demand dimension, and a tertiary demand dimension \8230correspondingto each secondary demand dimension, wherein M is a positive integer larger than 1, and M-level demand dimensions corresponding to M-1 demand dimensions and M-level demand dimensions corresponding to each M-1 demand dimension.
The following describes the method of matching resources using dimension groups in example 1 by taking computer production as an example:
the requirements are shown in table 1:
Figure 903173DEST_PATH_IMAGE001
convert the demand into a set of demand unit dimensions, as shown in Table 2:
Figure 701365DEST_PATH_IMAGE002
resources are shown in table 3:
Figure 290478DEST_PATH_IMAGE003
as can be seen from tables 2 and 3: and matching the demand unit dimension group with the resource unit dimension group, and allocating the resources corresponding to the resource unit dimension group to the demands corresponding to the demand unit dimension group.
Assume that the resources are as shown in table 4:
Figure 224936DEST_PATH_IMAGE004
as can be seen from tables 2 and 4: the demand unit dimension group cannot be matched with the resource unit dimension group, and resources cannot be allocated to the demands corresponding to the demand unit dimension group. At this time, the demand belongs to a non-standard demand, and the product structure, the bill of material or the material code does not need to be redefined, and only a 4T secondary resource unit (secondary resource dimension) needs to be added under a primary resource unit (primary resource dimension) of the resource unit of the hard disk (as shown in table 5), so that the management and operation costs are not greatly increased for the non-standard demand, and the decision cycle is shortened.
Figure 483879DEST_PATH_IMAGE005
Example 2
The present example differs from example 1 in that:
the step (2) comprises the following steps:
(2-1) finding the same resource unit dimensions involved in all the resource unit dimension groups, and respectively generating a resource unit dimension and a resource unit dimension corresponding list according to the same resource unit dimensions.
(2-2) judging whether the resource unit dimension groups conflict with each other; the dimension groups of the secondary resource units have conflict with each other, and the low priority cannot be met.
(2-3) if there is a conflict between the resource unit dimension groups, generating a resource unit dimension group conflict list.
In step (3): and when the demand unit dimension group is matched with the resource unit dimension group, determining whether the resources corresponding to the resource unit dimension group can be allocated to the demands corresponding to the demand unit dimension group according to the resource unit dimension group priority, the resource unit dimension group conflict list and the demand unit dimension group priority.
The following describes the method of matching resources using dimension groups in example 2 by taking computer production as an example:
demand one is shown in table 6:
Figure 644733DEST_PATH_IMAGE006
convert the demand into a set of demand cell dimensions, as shown in Table 7:
Figure 647324DEST_PATH_IMAGE007
requirement two is shown in table 8:
Figure 436289DEST_PATH_IMAGE008
convert demand two into a set of demand unit dimensions, as shown in Table 9:
Figure 131712DEST_PATH_IMAGE009
resources are shown in table 10:
Figure 763551DEST_PATH_IMAGE010
since the priority of demand one is higher than that of demand two, it can be seen from tables 7, 9 and 10 that: the resource is allocated to one of the demands, and the second demand can only be partially satisfied.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications derived therefrom are intended to be within the scope of the claims of this patent.

Claims (4)

1. The method for matching resources by using the dimension group is characterized by comprising the following steps:
(1) Maintaining the dimension of the resource units, wherein the resource units form resources, and the dimension of the resource units designates specific resource units;
according to the practical situation, the primary resource units in the resource units are designated by different primary resource dimensions, and when the resource units have different primary resource dimensions, the resource units correspond to two or more different primary resource dimensions;
if a certain primary resource dimension designates primary resource units belonging to two or more types according to actual conditions, designating secondary resource units in the primary resource units by using different secondary resource dimensions according to the actual conditions; in this way, until N-level resource units belong to the same type of resource units according to actual conditions, N is a positive integer greater than 1;
(2) Maintaining the matching relationship between the resource unit dimension and the resource unit dimension group, wherein each resource unit dimension group corresponds to one resource;
(2-1) finding out the same resource unit dimensions related in all the resource unit dimension groups, and respectively generating a resource unit dimension and a resource unit dimension corresponding list according to the same resource unit dimensions;
(2-2) judging whether the resource unit dimension groups conflict with each other;
(2-3) if the resource unit dimension groups conflict with each other, generating a resource unit dimension group conflict list;
(3) When the demand unit dimension group is matched with the resource unit dimension group, allocating resources corresponding to the resource unit dimension group to the demands corresponding to the demand unit dimension group; the demand units form demands, the dimensions of the demand units specify specific demand units, and each demand unit dimension group corresponds to one demand;
converting the demand into a demand unit according to a resource unit dimension maintenance method, and specifying a primary demand unit in the demand unit by using a primary demand dimension, wherein when the demand unit has different primary demand dimensions, the demand unit corresponds to two or more different primary demand dimensions;
and when the demand unit dimension group is matched with the resource unit dimension group, determining whether the resources corresponding to the resource unit dimension group can be allocated to the demands corresponding to the demand unit dimension group according to the resource unit dimension group priority, the resource unit dimension group conflict list and the demand unit dimension group priority.
2. The method for matching resources by using dimension groups according to claim 1, wherein in step (2): each resource unit dimension group comprises one or more than one primary resource dimension, a secondary resource dimension corresponding to each primary resource dimension, a secondary resource dimension, and a tertiary resource dimension \8230 \ 8230 \ and N-1 level resource dimensions, and N-1 level resource dimensions corresponding to each N-1 level resource dimension, wherein N is a positive integer greater than 1.
3. The method for matching resources by using dimension groups according to claim 1, wherein in step (3): if a certain primary demand dimension designates primary demand units belonging to two or more types, designating secondary demand units in the primary demand units by using different secondary demand dimensions; and repeating the steps until the M-level demand units belong to the same type of demand units, wherein M is a positive integer larger than 1.
4. The method for matching resources by using dimension groups according to claim 3, wherein in step (3): each requirement unit dimension group comprises one or more than one primary requirement dimension, a secondary requirement dimension corresponding to each primary requirement dimension, a secondary requirement dimension, and a tertiary requirement dimension \8230; \ 8230;, an M-1 level requirement dimension, and an M-1 level requirement dimension corresponding to each M-1 level requirement dimension, wherein M is a positive integer greater than 1.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102207869A (en) * 2011-06-03 2011-10-05 用友软件股份有限公司 Strategy matching device and strategy matching method
CN102932279A (en) * 2012-10-30 2013-02-13 北京邮电大学 Multidimensional resource scheduling system and method for cloud environment data center
CN108388564A (en) * 2017-02-03 2018-08-10 百度在线网络技术(北京)有限公司 Inquiry processing method, device and its equipment
CN109064357A (en) * 2018-08-22 2018-12-21 潘皓波 A kind of tour guide's recommender system and method in real time
CN111597042A (en) * 2020-05-11 2020-08-28 Oppo广东移动通信有限公司 Service thread running method and device, storage medium and electronic equipment
CN112995201A (en) * 2019-01-11 2021-06-18 深圳联合产权交易所股份有限公司 Resource value evaluation processing method based on cloud platform and related device

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10565229B2 (en) * 2018-05-24 2020-02-18 People.ai, Inc. Systems and methods for matching electronic activities directly to record objects of systems of record
CN105630601A (en) * 2014-11-03 2016-06-01 阿里巴巴集团控股有限公司 Resource allocation method and system based on real-time computing
CN111260322A (en) * 2020-01-16 2020-06-09 襄阳航泰动力机器厂 Discrete manufacturing industry work order scheduling improvement method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102207869A (en) * 2011-06-03 2011-10-05 用友软件股份有限公司 Strategy matching device and strategy matching method
CN102932279A (en) * 2012-10-30 2013-02-13 北京邮电大学 Multidimensional resource scheduling system and method for cloud environment data center
CN108388564A (en) * 2017-02-03 2018-08-10 百度在线网络技术(北京)有限公司 Inquiry processing method, device and its equipment
CN109064357A (en) * 2018-08-22 2018-12-21 潘皓波 A kind of tour guide's recommender system and method in real time
CN112995201A (en) * 2019-01-11 2021-06-18 深圳联合产权交易所股份有限公司 Resource value evaluation processing method based on cloud platform and related device
CN111597042A (en) * 2020-05-11 2020-08-28 Oppo广东移动通信有限公司 Service thread running method and device, storage medium and electronic equipment

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