Decision support for optimal adaptation of product and supply chain systems based on real options theory

被引：1

作者：

Park, Chong Hyun ^{[1
]}

Patil, Lalit ^{[2
]}

Saitou, Kazuhiro ^{[2
]}

Romeijn, Edwin ^{[1
]}

机构：

[1] Univ Michigan, Dept Ind & Operat Engn, Ann Arbor, MI 48109 USA

[2] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING | 2009年

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/COASE.2009.5234119

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to remain profitable in the highly competitive global market, a manufacturing enterprise is expected to proactively adapt itself in anticipation of unplanned, but foreseeable high impact events. This paper presents a decision model for optimal adaptation of product and supply chain systems subject to sudden, severe changes in the operating environment. Extending our previous work [1], decision-tree based framework is developed for optimally choosing design-supplier alternatives in multi-product, multi-echelon product and supply chain systems based on the real options theory. A case study on a two-component, two-echelon supply chain is presented which highlights unique characteristics of product quality as compared to cost and time.

引用

页码：316 / +

页数：2

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