Retailer-supplier flexible commitments contracts: A robust optimization approach

被引：223

作者：

Ben-Tal, Aharon ^{[1
]}

Golany, Boaz ^{[1
]}

Nemirovski, Arkadi ^{[1
]}

Vial, Jean-Philippe ^{[2
]}

机构：

[1] Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology

[2] Department of Management Studies, University of Geneva, CH-1211 Geneva 4

来源：

Manufacturing and Service Operations Management | 2005年 / 7卷 / 03期

关键词：

Affinely adjustable robust optimization; Flexible commitment contracts; Min-max criterion; Robust optimization; Supply chain management;

D O I：

10.1287/msom.1050.0081

中图分类号：

学科分类号：

摘要：

We propose the use of robust optimization (RO) as a powerful methodology for multiperiod stochastic operations management problems. In particular, we study a two-echelon multiperiod supply chain problem, known as the retailer-supplier flexible commitment (RSFC) problem with uncertain demand that is only known to reside in some uncertainty set. We adopt a min-max criterion, whereby the cost function is minimized against the worst case demand occurrence. To solve the min-max RSFC problem we employ a recent extension of the RO method adapted to dynamic decision problems and known as the affinely adjustable robust counterpart (AARC) methodology. The AARC solution is tested by a large simulation study and found to provide excellent results. © 2005 INFORMS.

引用

页码：248 / 271

页数：23

共 31 条

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