A Stochastic Model for a Two-Level Disassembly Lot-Sizing Problem Under Random Lead Time

被引：3

作者：

Slama, Ilhem ^{[1
]}

Ben-Ammar, Oussama ^{[2
]}

Dolgui, Alexandre ^{[1
]}

Masmoudi, Faouzi ^{[3
]}

机构：

[1] CNRS, LS2N, IMT Atlantique, 4 Rue Alfred Kastler,BP 20722, F-44307 Nantes, France

[2] Univ Clermont Auvergne, Dept Mfg Sci & Logist, Mines St Etienne, CNRS,UMR 6158,LIMOS CMP, Gardanne, France

[3] Univ Sfax, Lab Mech Modeling & Prod LA2MP, Engn Sch Sfax, Sfax, Tunisia

来源：

ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: THE PATH TO DIGITAL TRANSFORMATION AND INNOVATION OF PRODUCTION MANAGEMENT SYSTEMS, PT I | 2020年 / 591卷

关键词：

Disassembly lot-sizing; Random lead time; Stochastic programming; Monte Carlo simulation; YIELD;

D O I：

10.1007/978-3-030-57993-7_32

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The purpose of this research is to propose an optimization method for the stochastic disassembly lot-sizing problem under uncertainty of lead time. One type of end-of-life (EoL) product is disassembled to satisfy a dynamic and known demand of items over a planning horizon. The tactical problem is considered as a random optimization problem in order to minimize the expected total cost. A sample average approximation (SAA) approach, is developed to model the studied random optimization problem and minimize the average total cost. The effectiveness of the solution approach has successfully tested and proved.

引用

页码：275 / 283

页数：9

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