Multi-period supplier selection under price uncertainty

作     者：Sen, Alper Yaman, Hande Guler, Kemal Korpeoglu, Evren 

作者机构：Bilkent Univ TR-06800 Ankara Turkey Hewlett Packard Labs Palo Alto CA USA 

出 版 物：《JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY》 (英国运筹学会志)

年 卷 期：2014年第65卷第11期

页      面：1636-1648页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 070105[理学-运筹学与控制论] 0701[理学-数学] 

主　　题：supplier selection quantity discounts price uncertainty most favoured customer multi-stage stochastic programming 

摘      要：We consider a problem faced by a procurement manager who needs to purchase a large volume of multiple items over multiple periods from multiple suppliers that provide base prices and discounts. Discounts are contingent on meeting various conditions on total volume or spend, and some are tied to future realizations of random events that can be mutually verified. We formulate a scenario-based multi-stage stochastic optimization model that allows us to consider random events such as a drop in price because of the most favoured customer clauses, a price change in the spot market or a new discount offer. We propose certainty-equivalent heuristics and evaluate the regret of using them. We use our model for three bidding events of a large manufacturing company. The results show that considering most favored customer clauses in supplier offers may create substantial savings that may surpass the savings from regular discount offers.