[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Log in

Joint pricing and inventory decisions with carbon emission considerations, partial backordering and planned discounts

  • S.I. : SOME
  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

Typical economic order quantity models of inventory feature demand rate as a constant parameter and do not allow for backordering. Furthermore, the purchasing cost of the ordered materials is considered constant. In reality, the demand rate is related to the unit purchasing cost and other factors, such as time and availability of products in the market. A quantity discount is regularly applied to encourage ordering more products by decreasing the price. In some situations, carbon dioxide emissions are carefully scrutinized and a program to handle these. Greenhouse gases are put in place. Hence, for this research, the rate of demand in the model was assumed proportional to the unit purchasing cost and partial backordering was allowed as a fixed parameter. Because plants emit greenhouse gases (carbon dioxide), we considered mitigation efforts. A mathematical model and computational procedures are shown with the solution algorithms that demonstrate the capability of the model. An example problem was solved with the model and sensitivity analysis was conducted to inform the managerial insights offered.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Abad, P. L. (2003). Optimal pricing and lot-sizing under conditions of perishability, finite production and partial backordering and lost sale. European Journal of Operational Research,144(3), 677–685.

    Article  Google Scholar 

  • Arslan, M., & Turkay, M. (2013). EOQ revisited with sustainability considerations. Foundations of Computing and Decision Sciences,38(4), 223–249.

    Article  Google Scholar 

  • Battini, D., Persona, A., & Sgarbossa, F. (2014). A sustainable EOQ model: Theoretical formulation and applications. International Journal of Production Economics,149, 145–153.

    Article  Google Scholar 

  • Burwell, T. H., Dave, D. S., Fitzpatrick, K. E., & Roy, M. R. (1997). Economic lot size model for price-dependent demand under quantity and freight discounts. International Journal of Production Economics,48(2), 141–155.

    Article  Google Scholar 

  • Chang, H. C. (2013). A note on an economic lot size model for price-dependent demand under quantity and freight discounts. International Journal of Production Economics,144(1), 175–179.

    Article  Google Scholar 

  • Ding, Z. (2010). An inventory coordination scheme of single-period products under price-dependent demand. In International conference on E-Product E-Service and E-Entertainment (ICEEE), (pp. 1–4). IEEE.

  • Ferguson, M., Jayaraman, V., & Souza, G. C. (2007). An application of the EOQ model with nonlinear holding cost to inventory management of perishables. European Journal of Operational Research,180(1), 485–490.

    Article  Google Scholar 

  • Ghasemi, N., & Afshar Nadjafi, B. (2013). EOQ models with varying holding cost. Journal of Industrial Mathematics. https://doi.org/10.1155/2013/743921.

    Article  Google Scholar 

  • Ghosh, S. K., Khanra, S., & Chaudhuri, K. S. (2011). Optimal price and lot size determination for a perishable product under conditions of finite production, partial backordering and lost sale. Applied Mathematics and Computation,217(13), 6047–6053.

    Article  Google Scholar 

  • Hou, K. L., & Lin, L. C. (2006). An EOQ model for deteriorating items with price-and stock-dependent selling rates under inflation and time value of money. International Journal of Systems Science,37(15), 1131–1139.

    Article  Google Scholar 

  • Hovelaque, V., & Bironneau, L. (2015). The carbon-constrained EOQ model with carbon emission dependent demand. International Journal of Production Economics,164, 285–291.

    Article  Google Scholar 

  • Kumar, M., Chauhan, A., & Kumar, R. (2013). A deterministic inventory model for deteriorating items with price dependent demand and time varying holding cost under trade credit. International Journal of Soft Computing and Engineering, 2(1), 99–105.

    Google Scholar 

  • Lee, Y. P., & Dye, C. Y. (2012). An inventory model for deteriorating items under stock-dependent demand and controllable deterioration rate. Computers & Industrial Engineering,63(2), 474–482.

    Article  Google Scholar 

  • Lin, Y. J., & Ho, C. H. (2011). Integrated inventory model with quantity discount and price-sensitive demand. Top,19(1), 177–188.

    Article  Google Scholar 

  • Maihami, R., & Abadi, I. N. K. (2012). Joint control of inventory and its pricing for non-instantaneously deteriorating items under permissible delay in payments and partial backlogging. Mathematical and Computer Modelling,55(5), 1722–1733.

    Article  Google Scholar 

  • Min, J., & Zhou, Y. W. (2009). A perishable inventory model under stock-dependent selling rate and shortage-dependent partial backlogging with capacity constraint. International Journal of Systems Science,40(1), 33–44.

    Article  Google Scholar 

  • Mondal, B., Bhunia, A. K., & Maiti, M. (2003). An inventory system of ameliorating items for price dependent demand rate. Computers & Industrial Engineering,45(3), 443–456.

    Article  Google Scholar 

  • Mukhopadhyay, S., Mukherjee, R. N., & Chaudhuri, K. S. (2005). An EOQ model with two-parameter Weibull distribution deterioration and price-dependent demand. International Journal of Mathematical Education in Science and Technology,36(1), 25–33.

    Article  Google Scholar 

  • Panda, D., Maiti, M. K., & Maiti, M. (2010). Two warehouse inventory models for single vendor multiple retailers with price and stock dependent demand. Applied Mathematical Modelling,34(11), 3571–3585.

    Article  Google Scholar 

  • Pando, V., San-José, L. A., García-Laguna, J., & Sicilia, J. (2013). An economic lot-size model with non-linear holding cost hinging on time and quantity. International Journal of Production Economics,145(1), 294–303.

    Article  Google Scholar 

  • Roy, A. (2008). An inventory model for deteriorating items with price dependent demand and time varying holding cost. Advanced Modeling and Optimization,10(1), 25–37.

    Google Scholar 

  • Sana, S., & Chaudhuri, K. S. (2004). A stock-review EOQ model with stock-dependent demand, quadratic deterioration rate. Advanced Modeling and Optimization,6(2), 25–32.

    Google Scholar 

  • San-José, L. A., & García-Laguna, J. (2009). Optimal policy for an inventory system with backlogging and all-units discounts: Application to the composite lot size model. European Journal of Operational Research,192(3), 808–823.

    Article  Google Scholar 

  • San-José, L. A., Sicilia, J., & García-Laguna, J. (2015). Analysis of an EOQ inventory model with partial backordering and non-linear unit holding cost. Omega,54, 147–157.

    Article  Google Scholar 

  • Shi, J., Zhang, G., & Lai, K. K. (2012). Optimal ordering and pricing policy with supplier quantity discounts and price-dependent stochastic demand. Optimization,61(2), 151–162.

    Article  Google Scholar 

  • Taleizadeh, A. A. (2014). An economic order quantity model for deteriorating item in a purchasing system with multiple prepayments. Applied Mathematical Modeling,38, 5357–5366.

    Article  Google Scholar 

  • Taleizadeh, A. A., Moghadasi, H., Niaki, S. T. A., & Eftekhari, A. K. (2009). An EOQ-joint replenishment policy to supply expensive imported raw materials with payment in advance. Journal of Applied Science,8(23), 4263–4273.

    Google Scholar 

  • Taleizadeh, A. A., Niaki, S. T., & Aryanezhad, M. B. (2008). Multi-product multi-constraint inventory control systems with stochastic replenishment and discount under fuzzy purchasing price and holding costs. American Journal of Applied Science,8(7), 1228–1234.

    Article  Google Scholar 

  • Taleizadeh, A. A., & Noori-Daryan, M. (2015). Pricing, manufacturing and inventory policies for raw material in a three-level supply chain. International Journal of Systems Science,47(4), 919–931.

    Article  Google Scholar 

  • Taleizadeh, A. A., & Noori-Daryan, M. (2016). Pricing, replenishments and production policies in a supply chain of pharmacological product with rework process: A game theoretic approach. Operational Research, An International Journal,16, 89–115.

    Google Scholar 

  • Taleizadeh, A. A., Noori-Daryan, M., & Govindan, K. (2016). Pricing and ordering decisions of two competing supply chains with different composite policies: A Stackelberg game-theoretic approach. International Journal of Production Research,54(9), 2807–2836.

    Article  Google Scholar 

  • Taleizadeh, A. A., Noori-Daryan, M., & Tavakkoli-moghadam, R. (2015). Pricing and ordering decisions in a supply chain with imperfect quality items and inspection under a buyback contract. International Journal of Production Research,53(15), 4553–4582.

    Article  Google Scholar 

  • Taleizadeh, A. A., & Pentico, D. W. (2014). An economic order quantity model with partial backordering and all-units discount. International Journal of Production Economic.,155, 172–184.

    Article  Google Scholar 

  • Taleizadeh, A. A., Soleymanfar, V. R., & Govindan, K. (2018). Sustainable EPQ Models for Inventory Systems with Shortage. Journal of Cleaner Production,174, 1011–1020.

    Article  Google Scholar 

  • Teng, J. T., Chang, C. T., & Goyal, S. K. (2005). Optimal pricing and ordering policy under permissible delay in payments. International Journal of Production Economics,97(2), 121–129.

    Article  Google Scholar 

  • Transchel, S., & Minner, S. (2008). Coordinated lot-sizing and dynamic pricing under a supplier all-units quantity discount. BuR-Business Research,1(1), 125–141.

    Article  Google Scholar 

  • Wee, H. M. (1999). Deteriorating inventory model with quantity discount, pricing and partial backordering. International Journal of Production Economics,59(1), 511–518.

    Article  Google Scholar 

  • Weng, Z. K. (1995). Channel coordination and quantity discounts. Management Science, 41(9), 1509–1522.

    Article  Google Scholar 

  • You, P. S., & Hsieh, Y. C. (2007). An EOQ model with stock and price sensitive demand. Mathematical and Computer Modelling,45(7), 933–942.

    Article  Google Scholar 

Download references

Acknowledgements

The first author would like to thank the financial support of University of Tehran for this research under grant number 30015-1-04. This work was also supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning [Grant No. 2017R1A2B2007812].

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ilkyeong Moon.

Appendix

Appendix

There is an analogous formula for polynomials of degree three: The solution of

$$ ax^{3} + bx^{2} + cx + d = 0 $$

That is

$$\begin{aligned}& x = \sqrt[3]{{\left( {\frac{{ - b^{3} }}{{27a^{3} }} + \frac{bc}{{6a^{2} }} - \frac{d}{2a}} \right) + \sqrt {\left( {\frac{{ - b^{3} }}{{27a^{3} }} + \frac{bc}{{6a^{2} }} - \frac{d}{2a}} \right)^{2} + \left( {\frac{c}{3a} - \frac{{b^{2} }}{9a}} \right)^{3} } }}\\ &\quad + \sqrt[3]{{\left( {\frac{{ - b^{3} }}{{27a^{3} }} + \frac{bc}{{6a^{2} }} - \frac{d}{2a}} \right) - \sqrt {\left( {\frac{{ - b^{3} }}{{27a^{3} }} + \frac{bc}{{6a^{2} }} - \frac{d}{2a}} \right)^{2} + \left( {\frac{c}{3a} - \frac{{b^{2} }}{9a}} \right)^{3} } }} - \frac{b}{3a}\end{aligned}$$

This can be briefly written as

$$ x = \sqrt[3]{{q + \sqrt {q^{2} + \left( {r - p^{2} } \right)^{3} } }} + \sqrt[3]{{q - \sqrt {q^{2} + \left( {r - p^{2} } \right)^{3} } }} + p $$

where

$$ p = \frac{ - b}{3a} $$
$$ q = p^{3} + \frac{bc - 3ad}{{6a^{2} }} $$
$$ r = \frac{c}{3a} $$

This formulation is used to calculate the optimal value for \( T \), which is a polynomials of degree three.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Taleizadeh, A.A., Hazarkhani, B. & Moon, I. Joint pricing and inventory decisions with carbon emission considerations, partial backordering and planned discounts. Ann Oper Res 290, 95–113 (2020). https://doi.org/10.1007/s10479-018-2968-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-018-2968-y

Keywords

Navigation