模拟优化方法在逆向物流中的应用:系统综述

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Salma Abid, F. Mhada
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引用次数: 5

摘要

随着环境可持续性问题的增加,逆向物流变得越来越重要。然而,逆向物流往往与复杂和困难的不确定性问题,信息的模糊性,以及众多的决策变量和约束有关。为了解决这些问题,研究人员部署了一类有效的方法,称为基于模拟的优化。本研究的目的是对现有的逆向物流文献进行系统的回顾,讨论逆向物流和基于模拟的优化,突出研究差距并设定未来的方向。这项工作确定:(1)在逆向物流文献中使用的各种研究设计和方法;(2)逆向物流探索最多的领域,并讨论了可以重新探索的领域;(3)各种基于仿真的优化(SO)方法;(4)解决逆向物流问题最主要的SO方法。本研究将有助于研究人员和实务人员在逆向物流领域寻找新的研究机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation optimisation methods applied in reverse logistics: a systematic review
ABSTRACT Reverse logistics has grown in importance with the increase in environmental sustainability issues. However, reverse logistics is often associated with complex and difficult uncertainty issues, the vagueness of information, and the numerous decision variables and constraints. To address these issues, researchers deployed a class of effective methods called simulation-based optimisation. The aim of this study is to perform a systematic review of the available reverse logistics literature, discussing reverse logistic and simulation-based optimisation, highlighting the research gap and setting future directions. This work identifies: (1) various research design and methodologies used in reverse logistics literature; (2) the most explored areas of reverse logistics and discusses the sector where the exploration can be redirected; (3) the various simulation-based optimisation (SO) methods; and (4) the most dominant SO methods for solving reverse logistics problems. This study will be useful to researchers and practitioners in finding new research opportunities in the field of reverse logistics.
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来源期刊
International Journal of Sustainable Engineering
International Journal of Sustainable Engineering GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
7.70
自引率
0.00%
发文量
19
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