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Integration of pricing and inventory decisions of deteriorating item in a decentralized supply chain: a Stackelberg-game approach

Author

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  • Rubi Das

    (National Institute of Technology Silchar)

  • Abhijit Barman

    (National Institute of Technology Silchar)

  • Pijus Kanti De

    (National Institute of Technology Silchar)

Abstract

In the present worldwide highly competitive markets, competition occurs among the supply chain members on behalf of organizations. In this way, partners of the supply chain try to apply effective coordination to increase market shares. Because of the significance and utilization of inventory decisions and pricing strategies on accepting a product in the current business scenario, in this study, decentralized channel coordination is generalized to increase the profitability of a two-echelon supply chain. Here, a one-manufacturer–one-retailer supply chain mechanism for the deteriorating product with a leader–follower relationship under price-dependent demand is developed. Up-stream member-manufacturer sells the on-hand item to the downstream member-retailer in which the retailer faces off the customer. This model considers the effect of the deterioration of the product, selling price of both the channel members, cycle duration, idle time, ordering lot size in a decentralized supply chain system. The Stackelberg game method has been used considering the retailer as a leader and manufacturer as a follower to optimize the sales price of channel members and time–length up to zero manufacturer inventory for maximum profit. Finally, a numerical example and sensitivity analysis are given to demonstrate the model. The result shows that manufacturer profit is far better than the retailer profit though the retailer’s selling price is higher than that of the manufacturer’s selling price. Also, a little change in the manufacturing cost is highly sensitive for the profit of the channel members, which encourages the manufacturer to reduce the manufacturing cost and increases supply chain profit as well as channel members profit.

Suggested Citation

  • Rubi Das & Abhijit Barman & Pijus Kanti De, 2022. "Integration of pricing and inventory decisions of deteriorating item in a decentralized supply chain: a Stackelberg-game approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 479-493, February.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01299-1
    DOI: 10.1007/s13198-021-01299-1
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    References listed on IDEAS

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    1. Tiwari, Sunil & Cárdenas-Barrón, Leopoldo Eduardo & Goh, Mark & Shaikh, Ali Akbar, 2018. "Joint pricing and inventory model for deteriorating items with expiration dates and partial backlogging under two-level partial trade credits in supply chain," International Journal of Production Economics, Elsevier, vol. 200(C), pages 16-36.
    2. Mei-Chuan Cheng & Tsu-Pang Hsieh & Hsiu-Mei Lee & Liang-Yuh Ouyang, 2020. "Optimal ordering policies for deteriorating items with a return period and price-dependent demand under two-phase advance sales," Operational Research, Springer, vol. 20(2), pages 585-604, June.
    3. Rubi Das & Pijus Kanti De & Abhijit Barman, 2021. "Pricing and ordering strategies in a two-echelon supply chain under price discount policy: a Stackelberg game approach," Journal of Management Analytics, Taylor & Francis Journals, vol. 8(4), pages 646-672, October.
    4. Maihami, Reza & Nakhai Kamalabadi, Isa, 2012. "Joint pricing and inventory control for non-instantaneous deteriorating items with partial backlogging and time and price dependent demand," International Journal of Production Economics, Elsevier, vol. 136(1), pages 116-122.
    5. Xiao, Tiaojun & Xu, Tiantian, 2013. "Coordinating price and service level decisions for a supply chain with deteriorating item under vendor managed inventory," International Journal of Production Economics, Elsevier, vol. 145(2), pages 743-752.
    6. Wang, Xiaojun & Li, Dong, 2012. "A dynamic product quality evaluation based pricing model for perishable food supply chains," Omega, Elsevier, vol. 40(6), pages 906-917.
    7. Li, Jianli & Liu, Liwen, 2006. "Supply chain coordination with quantity discount policy," International Journal of Production Economics, Elsevier, vol. 101(1), pages 89-98, May.
    8. Lin Feng & Jianxiong Zhang & Wansheng Tang, 2015. "A joint dynamic pricing and advertising model of perishable products," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(8), pages 1341-1351, August.
    9. Rad, M. A. & Khoshalhan, F. & Glock, C. H., 2018. "Optimal production and distribution policies for a two-stage supply chain with imperfect items and price- and advertisement-sensitive demand: A note," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84500, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Desheng Wu, 2011. "Joint pricing-servicing decision and channel strategies in the supply chain," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(1), pages 99-137, March.
    11. Hou, Kuo-Lung, 2006. "An inventory model for deteriorating items with stock-dependent consumption rate and shortages under inflation and time discounting," European Journal of Operational Research, Elsevier, vol. 168(2), pages 463-474, January.
    12. Ata Allah Taleizadeh & Mahsa Noori-daryan, 2016. "Pricing, manufacturing and inventory policies for raw material in a three-level supply chain," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(4), pages 919-931, March.
    13. Cárdenas-Barrón, Leopoldo Eduardo & Sana, Shib Sankar, 2014. "A production-inventory model for a two-echelon supply chain when demand is dependent on sales teams׳ initiatives," International Journal of Production Economics, Elsevier, vol. 155(C), pages 249-258.
    14. K. M. Kamna & Prerna Gautam & Chandra K. Jaggi, 2021. "Sustainable inventory policy for an imperfect production system with energy usage and volume agility," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(1), pages 44-52, February.
    15. J A A van der Veen & V Venugopal, 2005. "Using revenue sharing to create win–win in the video rental supply chain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(7), pages 757-762, July.
    16. K. M. Kamna & Prerna Gautam & Chandra K. Jaggi, 0. "Sustainable inventory policy for an imperfect production system with energy usage and volume agility," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-9.
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