Distributed decision-making in supply chains and private E-marketplaces

• 成果类型: Article
• 署名作者: Poundarikapuram, S; Veeramani, D
• 署名单位: University of Wisconsin System; University of Wisconsin Madison
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• 发表日期: 2004
• 页码: 111-121
• 关键词: collaborative planning; pareto-optimality; integer L-shaped method; distributed decisionmaking submissions

摘要

T his paper develops a distributed decision-making framework for the players in a supply chain or a private e-marketplace to collaboratively arrive at a global Pareto-optimal solution. In this model, no player has complete knowledge about all the costs and constraints of the other players. The decision-making framework employs an iterative procedure, based on the Integer L-shaped method, in which a master problem is solved to propose global solutions, and each player uses his local problems to construct feasibility and optimality cuts on the master problem. The master problem is modeled as a mixed-integer program, and the players' local problems are formulated as linear programs. Collaborative planning scenarios in private e-marketplaces and in supply chains were formulated and solved for test data. The results show that this distributed model is able to achieve near-optimal solutions considerably faster than the traditional centralized approach.