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Price markdown scheme in a multi-echelon supply chain in a high-tech industry

Listed author(s):
  • Chung, Wenming
  • Talluri, Srinivas
  • Narasimhan, Ram
Registered author(s):

    This paper studies the price markdown scheme in a supply chain that consists of a supplier, a contract manufacturer (CM), and a buyer (retailer). The buyer subcontracts the production of the final product to the CM. The CM buys the components from the supplier and charges the buyer a service fee for the final product produced. The price markdown is made possible by the supplier with the development of new manufacturing technologies that reduce the production cost for the sourced component. Consequently, the buyer adjusts the retail price in order to possibly stimulate stronger demand that may benefit both the supplier and the buyer. Under this scenario, we identify the optimal discount pricing strategies, capacity reservation, and the stocking policies for the supplier and the buyer. We also investigate the optimal inventory decision for the CM to cope with the price discount by considering both demand and delivery uncertainties. Our results suggest that higher production cost accelerates the effects of higher price sensitivity on lowering the optimal capacity and stocking policies in the supply chain. The effect of mean demand error on the optimal prices is relatively marginal compared with that from price sensitivity. We also found that increasing the standard deviation of the random demand does not necessarily increase the stocking level as one would predict. The results show that delivery uncertainty plays an important role in the inventory carried beyond the price break. We discuss potential extensions for future research.

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    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 215 (2011)
    Issue (Month): 3 (December)
    Pages: 581-589

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    Handle: RePEc:eee:ejores:v:215:y:2011:i:3:p:581-589
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    1. Yue, Jinfeng & Austin, Jill & Wang, Min-Chiang & Huang, Zhimin, 2006. "Coordination of cooperative advertising in a two-level supply chain when manufacturer offers discount," European Journal of Operational Research, Elsevier, vol. 168(1), pages 65-85, January.
    2. Fernando Bernstein & Awi Federgruen, 2005. "Decentralized Supply Chains with Competing Retailers Under Demand Uncertainty," Management Science, INFORMS, vol. 51(1), pages 18-29, January.
    3. Kim, Kap H. & Hwang, Hark, 1988. "An incremental discount pricing schedule with multiple customers and single price break," European Journal of Operational Research, Elsevier, vol. 35(1), pages 71-79, April.
    4. Hui-Ming Wee & Yu, Jonas, 1997. "A deteriorating inventory model with a temporary price discount," International Journal of Production Economics, Elsevier, vol. 53(1), pages 81-90, November.
    5. Gupta, Diwakar & Hill, Arthur V. & Bouzdine-Chameeva, Tatiana, 2006. "A pricing model for clearing end-of-season retail inventory," European Journal of Operational Research, Elsevier, vol. 170(2), pages 518-540, April.
    6. Kurata, Hisashi & Yao, Dong-Qing & Liu, John J., 2007. "Pricing policies under direct vs. indirect channel competition and national vs. store brand competition," European Journal of Operational Research, Elsevier, vol. 180(1), pages 262-281, July.
    7. Zhou, Yong-Wu, 2007. "A comparison of different quantity discount pricing policies in a two-echelon channel with stochastic and asymmetric demand information," European Journal of Operational Research, Elsevier, vol. 181(2), pages 686-703, September.
    8. Edwin S. Mills, 1959. "Uncertainty and Price Theory," The Quarterly Journal of Economics, Oxford University Press, vol. 73(1), pages 116-130.
    9. Viswanathan, S. & Wang, Qinan, 2003. "Discount pricing decisions in distribution channels with price-sensitive demand," European Journal of Operational Research, Elsevier, vol. 149(3), pages 571-587, September.
    10. Z. Kevin Weng, 1995. "Channel Coordination and Quantity Discounts," Management Science, INFORMS, vol. 41(9), pages 1509-1522, September.
    11. Saibal Ray & Shanling Li & Yuyue Song, 2005. "Tailored Supply Chain Decision Making Under Price-Sensitive Stochastic Demand and Delivery Uncertainty," Management Science, INFORMS, vol. 51(12), pages 1873-1891, December.
    12. Steven Nahmias & Stephen A. Smith, 1994. "Optimizing Inventory Levels in a Two-Echelon Retailer System with Partial Lost Sales," Management Science, INFORMS, vol. 40(5), pages 582-596, May.
    13. Charles J. Corbett & Xavier de Groote, 2000. "A Supplier's Optimal Quantity Discount Policy Under Asymmetric Information," Management Science, INFORMS, vol. 46(3), pages 444-450, March.
    14. Lau, Amy Hing Ling & Lau, Hon-Shiang & Wang, Jian-Cai, 2007. "Designing a quantity discount scheme for a newsvendor-type product with numerous heterogeneous retailers," European Journal of Operational Research, Elsevier, vol. 180(2), pages 585-600, July.
    15. Andy A. Tsay, 1999. "The Quantity Flexibility Contract and Supplier-Customer Incentives," Management Science, INFORMS, vol. 45(10), pages 1339-1358, October.
    16. Urban, Timothy L. & Baker, R. C., 1997. "Optimal ordering and pricing policies in a single-period environment with multivariate demand and markdowns," European Journal of Operational Research, Elsevier, vol. 103(3), pages 573-583, December.
    17. Nihat Altintas & Feryal Erhun & Sridhar Tayur, 2008. "Quantity Discounts Under Demand Uncertainty," Management Science, INFORMS, vol. 54(4), pages 777-792, April.
    18. Khouja, Moutaz, 1995. "The newsboy problem under progressive multiple discounts," European Journal of Operational Research, Elsevier, vol. 84(2), pages 458-466, July.
    19. Chao, Xiuli & Chen, Hong & Zheng, Shaohui, 2008. "Joint replenishment and pricing decisions in inventory systems with stochastically dependent supply capacity," European Journal of Operational Research, Elsevier, vol. 191(1), pages 142-155, November.
    20. Madan, Manu & Bramorski, Tom & Gnanendran, Kingsley, 1993. "A heuristic methodology to evaluate price discount structures from the buyer's perspective," International Journal of Production Economics, Elsevier, vol. 29(2), pages 223-231, March.
    21. Fazel, Farzaneh & Fischer, Klaus P. & Gilbert, Erika W., 1998. "JIT purchasing vs. EOQ with a price discount: An analytical comparison of inventory costs," International Journal of Production Economics, Elsevier, vol. 54(1), pages 101-109, January.
    22. Hau L. Lee & V. Padmanabhan & Terry A. Taylor & Seungjin Whang, 2000. "Price Protection in the Personal Computer Industry," Management Science, INFORMS, vol. 46(4), pages 467-482, April.
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