Abstract
Supply chain network design (SCND) is one of the most crucial planning problems in supply chain management (SCM). Nowadays, design decisions should be viable enough to function well under complex and uncertain business environments for many years or decades. Therefore, it is essential to make these decisions in the presence of uncertainty, as over the last two decades, a large number of relevant publications have emphasized its importance. The aim of this paper is to provide a comprehensive review of studies in the fields of SCND and reverse logistics network design under uncertainty. The paper is organized in two main parts to investigate the basic features of these studies. In the first part, planning decisions, network structure, paradigms and aspects related to SCM are discussed. In the second part, existing optimization techniques for dealing with uncertainty such as recourse-based stochastic programming, risk-averse stochastic programming, robust optimization, and fuzzy mathematical programming are explored in terms of mathematical modeling and solution approaches. Finally, the drawbacks and missing aspects of the related literature are highlighted and a list of potential issues for future research directions is recommended.
Highlights
In the early 1980s, supply chain management (SCM) was introduced in order to respond to fierce competition among companies (Oliver & Webber, 1982)
The aim of this paper is to provide a comprehensive review of studies in the fields of Supply chain network design (SCND) and reverse logistics network design under uncertainty
The SC network is referred to as the logistics network by Simchi-Levi et al (2004), and Ghiani, Laporte, and Musmanno (2004) defines the SC as "a complex logistics system in which raw materials are converted into finished products and distributed to final users." On the other hand, Hugos (2011) points out that some differences exist between logistics management and SCM
Summary
In the early 1980s, SCM was introduced in order to respond to fierce competition among companies (Oliver & Webber, 1982). A critical review on optimization models for robust design of SC networks was represented by Klibi, Martel, and Guitouni (2010) They categorized existing uncertainties in the SCND problem and investigated their impacts on the network as well. Note that all these papers are in the area of SCM, but some of them explored the FL or logistics network design models in SCM, . The purpose of this paper is to explore the studies that have been made in the area of SCND (including CLSC and RL network design as well) under uncertainty to highlight the research gaps and future research directions. The papers that have addressed a SC of a real-life case study or specific industry are discussed
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