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Supply chain coordination with controllable lead time and asymmetric information

Author

Listed:
  • Li, Yina
  • Xu, Xuejun
  • Zhao, Xiande
  • Yeung, Jeff Hoi Yan
  • Ye, Fei
Abstract
This paper considers coordinated decisions in a decentralized supply chain consisting of a vendor and a buyer with controllable lead time. We analyze two supply chain inventory models. In the first model we assume the vendor has complete information about the buyer’s cost structure. By taking both the vendor and the buyer’s individual rationalities into consideration, a side payment coordination mechanism is designed to realize supply chain Pareto dominance. In the second model we consider a setting where the buyer possesses private cost information. We design the coordination mechanism by using principal–agent model to induce the buyer to report his true cost structure. The solution procedures are also developed to get the optimal solutions of these two models. The results of numerical examples show that shortening lead time to certain extent can reduce inventory cost and the coordination mechanisms designed for both symmetric and asymmetric information situations are effective.

Suggested Citation

  • Li, Yina & Xu, Xuejun & Zhao, Xiande & Yeung, Jeff Hoi Yan & Ye, Fei, 2012. "Supply chain coordination with controllable lead time and asymmetric information," European Journal of Operational Research, Elsevier, vol. 217(1), pages 108-119.
  • Handle: RePEc:eee:ejores:v:217:y:2012:i:1:p:108-119
    DOI: 10.1016/j.ejor.2011.09.003
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    References listed on IDEAS

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    1. Gérard P. Cachon & Martin A. Lariviere, 2001. "Contracting to Assure Supply: How to Share Demand Forecasts in a Supply Chain," Management Science, INFORMS, vol. 47(5), pages 629-646, May.
    2. Charles J. Corbett, 2001. "Stochastic Inventory Systems in a Supply Chain with Asymmetric Information: Cycle Stocks, Safety Stocks, and Consignment Stock," Operations Research, INFORMS, vol. 49(4), pages 487-500, August.
    3. Chang, Hung-Chi & Ouyang, Liang-Yuh & Wu, Kun-Shan & Ho, Chia-Huei, 2006. "Integrated vendor-buyer cooperative inventory models with controllable lead time and ordering cost reduction," European Journal of Operational Research, Elsevier, vol. 170(2), pages 481-495, April.
    4. Ouyang, Liang-Yuh & Wu, Kun-Shan & Ho, Chia-Huei, 2007. "An integrated vendor-buyer inventory model with quality improvement and lead time reduction," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 349-358, July.
    5. Nash, John, 1950. "The Bargaining Problem," Econometrica, Econometric Society, vol. 18(2), pages 155-162, April.
    6. Chandra, Charu & Grabis, Janis, 2008. "Inventory management with variable lead-time dependent procurement cost," Omega, Elsevier, vol. 36(5), pages 877-887, October.
    7. Hsieh, Chung-Chi & Wu, Cheng-Han & Huang, Ya-Jing, 2008. "Ordering and pricing decisions in a two-echelon supply chain with asymmetric demand information," European Journal of Operational Research, Elsevier, vol. 190(2), pages 509-525, October.
    8. Hsieh, Chung-Chi & Wu, Cheng-Han, 2008. "Capacity allocation, ordering, and pricing decisions in a supply chain with demand and supply uncertainties," European Journal of Operational Research, Elsevier, vol. 184(2), pages 667-684, January.
    9. Ouyang, Liang-Yuh & Wu, Kun-Shan & Ho, Chia-Huei, 2004. "Integrated vendor-buyer cooperative models with stochastic demand in controllable lead time," International Journal of Production Economics, Elsevier, vol. 92(3), pages 255-266, December.
    10. Wang, Jian-Cai & Lau, Hon-Shiang & Lau, Amy Hing Ling, 2009. "When should a manufacturer share truthful manufacturing cost information with a dominant retailer?," European Journal of Operational Research, Elsevier, vol. 197(1), pages 266-286, August.
    11. Chang, Hung-Chi & Yao, Jing-Shing & Ouyang, Liang-Yuh, 2006. "Fuzzy mixture inventory model involving fuzzy random variable lead time demand and fuzzy total demand," European Journal of Operational Research, Elsevier, vol. 169(1), pages 65-80, February.
    12. Pan, Jason Chao-Hsien & Hsiao, Yu-Cheng, 2005. "Integrated inventory models with controllable lead time and backorder discount considerations," International Journal of Production Economics, Elsevier, vol. 93(1), pages 387-397, January.
    13. Sucky, Eric, 2006. "A bargaining model with asymmetric information for a single supplier-single buyer problem," European Journal of Operational Research, Elsevier, vol. 171(2), pages 516-535, June.
    14. Ben-Daya, M. & Hariga, M., 2004. "Integrated single vendor single buyer model with stochastic demand and variable lead time," International Journal of Production Economics, Elsevier, vol. 92(1), pages 75-80, November.
    15. Xu, He & Shi, Ning & Ma, Shi-hua & Lai, Kin Keung, 2010. "Contracting with an urgent supplier under cost information asymmetry," European Journal of Operational Research, Elsevier, vol. 206(2), pages 374-383, October.
    16. Gérard P. Cachon & Paul H. Zipkin, 1999. "Competitive and Cooperative Inventory Policies in a Two-Stage Supply Chain," Management Science, INFORMS, vol. 45(7), pages 936-953, July.
    17. 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.
    18. John C. Harsanyi & Reinhard Selten, 1972. "A Generalized Nash Solution for Two-Person Bargaining Games with Incomplete Information," Management Science, INFORMS, vol. 18(5-Part-2), pages 80-106, January.
    19. Chen, Liang-Hsuan & Kang, Fu-Sen, 2007. "Integrated vendor-buyer cooperative inventory models with variant permissible delay in payments," European Journal of Operational Research, Elsevier, vol. 183(2), pages 658-673, December.
    20. J C-H Pan & Y-C Hsiao & C-J Lee, 2002. "Inventory models with fixed and variable lead time crash costs considerations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(9), pages 1048-1053, September.
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