文章基本信息

标题：Scenario-based stochastic linear programming model for multi-period disassembly lot-sizing problems under random lead time
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作者：I. Slama ; O. Ben-Ammar ; F. Masmoudi 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：13
页码：595-600
DOI：10.1016/j.ifacol.2019.11.224
语种：English
出版社：Elsevier
摘要：In the last few years, there has been a growing interest in the disassembly scheduling problem to fulfil the demands of individual disassembled parts over a given planning horizon. An analysis of the literature shows that the disassembly lead time is often considered deterministic. Indeed, in real-life systems, this parameter is rarely known and often has uncertain values that can be caused by the complexity of disassembly operation. In this study, a new scenario-based stochastic linear programming model is proposed to deal with a multi-period, single product type and two-level disassembly lot-sizing problem under lead time uncertainty. The demand for each component is known for each time period and the real disassembly lead time of end-of-life product is an independent random discrete variable with a known probability distribution. The proposed model is used to determine the optimal quantity for disassembled end-of-life products in order to minimize the setup cost for end-of-life product and the sum of average inventory holding and backlogging costs for each component, over the planning horizon and all scenarios.
关键词：KeywordsReverse logisticdisassembly lot-sizing problemrandom lead timestochastic programming modelscenario-based approach