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Optimizing inventory policy for products with time-sensitive deteriorating rates in a multi-echelon supply chain

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  • Wang, Kung-Jeng
  • Lin, Y.S.
  • Yu, Jonas C.P.

Abstract

Many industries with multiple-echelon supply chains suffer inventory management with costly deteriorating rates changed along with the time, such as TFT-LCD panel manufacturing industry, IC manufacturing industry, and agricultural industry, to name a few. In addition, highly competitive pressures in business force firms to develop their partnership through strategic alliances. This study assumes that product deterioration is time-sensitive and develops an optimal integrated inventory policy for time-sensitive deteriorating products by taking into account a strategic alliance for a three-echelon supply chain (one producer, one distributor, and one retailer). This study empirically investigates how different deterioration rates in each echelon affect performances of individuals and integrated inventory policies. Sensitivity analysis is given to justify that the impact of changes in deterioration rates of each echelon is significant and the joint cost of the proposed integrated inventory policy is found to be much less than the individual policies. In addition, a compensation policy is applied to evaluate cost reduction and benefit losses under different individual policies. Through the proposed coordination mechanism, the timing and quantities of deliveries can be determined optimally in cooperation with up-/down-stream members to achieve a minimum overall cost. Furthermore, the proposed integrated inventory policy can contribute to a significant cost reduction of such supply chains, and facilitate strategic alliance among the parties in the supply chain.

Suggested Citation

  • Wang, Kung-Jeng & Lin, Y.S. & Yu, Jonas C.P., 2011. "Optimizing inventory policy for products with time-sensitive deteriorating rates in a multi-echelon supply chain," International Journal of Production Economics, Elsevier, vol. 130(1), pages 66-76, March.
    • Handle: RePEc:eee:proeco:v:130:y:2011:i:1:p:66-76
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    as
    1. Wee, Hui-Ming, 1999. "Deteriorating inventory model with quantity discount, pricing and partial backordering," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 511-518, March.
    2. Lu, Lu, 1995. "A one-vendor multi-buyer integrated inventory model," European Journal of Operational Research, Elsevier, vol. 81(2), pages 312-323, March.
    3. Guillermo Gallego & Garrett van Ryzin, 1994. "Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons," Management Science, INFORMS, vol. 40(8), pages 999-1020, August.
    4. Yang, Hui-Ling & Teng, Jinn-Tsair & Chern, Maw-Sheng, 2010. "An inventory model under inflation for deteriorating items with stock-dependent consumption rate and partial backlogging shortages," International Journal of Production Economics, Elsevier, vol. 123(1), pages 8-19, January.
    5. Chang, Chun-Tao & Teng, Jinn-Tsair & Goyal, Suresh Kumar, 2010. "Optimal replenishment policies for non-instantaneous deteriorating items with stock-dependent demand," International Journal of Production Economics, Elsevier, vol. 123(1), pages 62-68, January.
    6. Steven Nahmias, 1982. "Perishable Inventory Theory: A Review," Operations Research, INFORMS, vol. 30(4), pages 680-708, August.
    7. Skouri, K. & Konstantaras, I. & Papachristos, S. & Ganas, I., 2009. "Inventory models with ramp type demand rate, partial backlogging and Weibull deterioration rate," European Journal of Operational Research, Elsevier, vol. 192(1), pages 79-92, January.
    8. Viswanathan, S. & Piplani, Rajesh, 2001. "Coordinating supply chain inventories through common replenishment epochs," European Journal of Operational Research, Elsevier, vol. 129(2), pages 277-286, March.
    9. Yang, P. C., 2004. "Pricing strategy for deteriorating items using quantity discount when demand is price sensitive," European Journal of Operational Research, Elsevier, vol. 157(2), pages 389-397, September.
    10. Chung, Chun-Jen & Wee, Hui-Ming, 2008. "Green-component life-cycle value on design and reverse manufacturing in semi-closed supply chain," International Journal of Production Economics, Elsevier, vol. 113(2), pages 528-545, June.
    11. Lo, Sh-Tyan & Wee, Hui-Ming & Huang, Wen-Chang, 2007. "An integrated production-inventory model with imperfect production processes and Weibull distribution deterioration under inflation," International Journal of Production Economics, Elsevier, vol. 106(1), pages 248-260, March.
    12. Mincsovics, Gergely & Tan, Tarkan & Alp, Osman, 2009. "Integrated capacity and inventory management with capacity acquisition lead times," European Journal of Operational Research, Elsevier, vol. 196(3), pages 949-958, August.
    13. Lo, Sh-Tyan & Wee, Hui-Ming & Huang, Wen-Chang, 2007. "An integrated production-inventory model with imperfect production processes and Weibull distribution deterioration under inflation," International Journal of Production Economics, Elsevier, vol. 106(2), pages 493-505, April.
    14. Hsiao, Yu-Cheng & Lin, Yi & Huang, Yun-Kuei, 2010. "Optimal multi-stage logistic and inventory policies with production bottleneck in a serial supply chain," International Journal of Production Economics, Elsevier, vol. 124(2), pages 408-413, April.
    15. Goyal, S. K., 1995. "A one-vendor multi-buyer integrated inventory model: A comment," European Journal of Operational Research, Elsevier, vol. 82(1), pages 209-210, April.
    16. Hsu, P.H. & Wee, H.M. & Teng, H.M., 2010. "Preservation technology investment for deteriorating inventory," International Journal of Production Economics, Elsevier, vol. 124(2), pages 388-394, April.
    17. Gérard P. Cachon, 2001. "Stock Wars: Inventory Competition in a Two-Echelon Supply Chain with Multiple Retailers," Operations Research, INFORMS, vol. 49(5), pages 658-674, October.
    18. Hahm, Juho & Yano, Candace Arai, 1992. "The economic lot and delivery scheduling problem: The single item case," International Journal of Production Economics, Elsevier, vol. 28(2), pages 235-252, November.
    19. Steven Nahmias, 1976. "Myopic Approximations for the Perishable Inventory Problem," Management Science, INFORMS, vol. 22(9), pages 1002-1008, May.
    20. Chang, Chun-Tao & Teng, Jinn-Tsair & Chern, Maw-Sheng, 2010. "Optimal manufacturer's replenishment policies for deteriorating items in a supply chain with up-stream and down-stream trade credits," International Journal of Production Economics, Elsevier, vol. 127(1), pages 197-202, September.
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    5. Huang, Yeu-Shiang & Su, Wei-Jun & Lin, Zu-Liang, 2011. "A study on lead-time discount coordination for deteriorating products," European Journal of Operational Research, Elsevier, vol. 215(2), pages 358-366, December.
    6. Kung-Jeng Wang & Yu-Siang Lin, 2012. "Optimal inventory replenishment strategy for deteriorating items in a demand-declining market with the retailer’s price manipulation," Annals of Operations Research, Springer, vol. 201(1), pages 475-494, December.
    7. Manish Shukla & Sanjay Jharkharia, 2014. "An inventory model for continuously deteriorating agri-fresh produce: an artificial immune system-based solution approach," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 9(1/2), pages 110-135.
    8. Rahal, Imen & Elloumi, Abdelkarim, 2021. "Inventory management of perishable products : a case of melon in Tunisia," MPRA Paper 118028, University Library of Munich, Germany.
    9. B. C. Giri & A. Chakraborty & T. Maiti, 2017. "Effectiveness of consignment stock policy in a three-level supply chain," Operational Research, Springer, vol. 17(1), pages 39-66, April.
    10. Arab Momeni, Mojtaba & Bagheri, Mehdi, 2022. "Shared warehouse as an inter-supply chain cooperation strategy to reduce the time-dependent deterioration costs," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    11. Ming-Fang Yang & Pei-Fang Tsai & Meng-Ru Tu & Yu-Fang Yuan, 2024. "An EOQ Model for Temperature-Sensitive Deteriorating Items in Cold Chain Operations," Mathematics, MDPI, vol. 12(5), pages 1-15, March.
    12. Jonas C.P. Yu & Kung-Jeng Wang & Yu-Siang Lin, 2016. "Managing dual warehouses with an incentive policy for deteriorating items," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(3), pages 586-602, February.
    13. Maihami, Reza & Govindan, Kannan & Fattahi, Mohammad, 2019. "The inventory and pricing decisions in a three-echelon supply chain of deteriorating items under probabilistic environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 118-138.
    14. Dai, Zhuo & Aqlan, Faisal & Gao, Kuo, 2017. "Optimizing multi-echelon inventory with three types of demand in supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 107(C), pages 141-177.
    15. Yong He & Hongfu Huang & Dong Li, 2020. "Inventory and pricing decisions for a dual-channel supply chain with deteriorating products," Operational Research, Springer, vol. 20(3), pages 1461-1503, September.
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    17. Zeinab Sazvar & Mohammad Reza Akbari Jokar & Armand Baboli, 2014. "A new order splitting model with stochastic lead times for deterioration items," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(9), pages 1936-1954, September.

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