Determining optimal disassembly and recovery strategies

被引：52

作者：

Teunter, RH ^{[1
]}

机构：

[1] Univ Lancaster, Sch Management, Dept Management Sci, Lancaster LA1 4YX, England

来源：

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE | 2006年 / 34卷 / 06期

关键词：

disassembly; recovery; profit maximization; dynamic programming;

D O I：

10.1016/j.omega.2005.01.014

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

We present a stochastic dynamic programming algorithm for determining the optimal disassembly and recovery strategy, given the disassembly tree, the process-dependent quality distributions of assemblies, and the quality-dependent recovery options and associated profits for assemblies. This algorithm generalizes the one proposed by Krikke et al. (International Journal of Production Research 1998; 36(1):111-39) in two ways. First, there can be multiple disassembly processes. Second, partial disassembly is allowed. Both generalizations are important for practise. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：533 / 537

页数：5

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