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Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review.
Simulation Modelling Practice and Theory ( IF 3.5 ) Pub Date : 2020-08-11 , DOI: 10.1016/j.simpat.2020.102166
Rafael D Tordecilla 1, 2 , Angel A Juan 1, 3 , Jairo R Montoya-Torres 2 , Carlos L Quintero-Araujo 4 , Javier Panadero 1, 3
Affiliation  

The design of supply chain networks (SCNs) aims at determining the number, location, and capacity of production facilities, as well as the allocation of markets (customers) and suppliers to one or more of these facilities. This paper reviews the existing literature on the use of simulation-optimization methods in the design of resilient SCNs. From this review, we classify some of the many works in the topic according to factors such as their methodology, the approach they use to deal with uncertainty and risk, etc. The paper also identifies several research opportunities, such as the inclusion of multiple criteria (e.g., monetary, environmental, and social dimensions) during the design-optimization process and the convenience of considering hybrid approaches combining metaheuristic algorithms, simulation, and machine learning methods to account for uncertainty and dynamic conditions, respectively.



中文翻译:

在不确定情况下设计和评估弹性供应链网络的模拟优化方法:综述。

供应链网络 (SCN) 的设计旨在确定生产设施的数量、位置和产能,以及为这些设施中的一个或多个设施分配市场(客户)和供应商。本文回顾了有关在弹性 SCN 设计中使用模拟优化方法的现有文献。从这篇评论中,我们根据方法论、处理不确定性和风险的方法等因素对主题中的许多作品中的一些进行了分类。本文还确定了几个研究机会,例如包含多个标准(例如,货币、环境和社会维度)在设计优化过程中以及考虑结合元启发式算法、模拟、

更新日期:2020-08-11
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