The Flexible Possibilistic-Robust Mathematical Programming Approach for the Resilient Supply Chain Network: An Operational Plan
23 Apr 2021-Journal of Advanced Manufacturing Systems (World Scientific Publishing Company)-Vol. 20, Iss: 03, pp 473-498
TL;DR: By adopting a set of reactive and preventive strategies, the resilient supply chain network of dependent petrochemical industries is presented, consistent with the structure of its production cycle in Iran, and controls the uncertainty and risk-aversion of output decisions and effectively confronts the adverse effects of disruptions.
Abstract: Nowadays, the management of soil resources for global food security is one of the strategic purposes of the countries. In this regard, creating soil nutrition’s supply chain network for the fertili...
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TL;DR: In this article , a hybrid of AHP-fuzzy TOPSIS technique was used to provide weights to the criteria variables (here barriers) and rank the alternatives (here resilient capabilities). Five criteria of barriers were identified for the purpose of the study, namely, strategic barriers, technological barriers, cultural barriers, individual barriers, and organizational barriers.
Abstract: The aim of study is to prioritize resilient capabilities required for an Industry 4.0 manufacturing business. These capabilities are prioritized considering the barriers faced by their supply chains in becoming resilient. After the review of literature and discussion with experts from the case company and other supply chain professionals, the barriers and resilient capabilities were shortlisted. The study utilized a hybrid of AHP-fuzzy TOPSIS technique to provide weights to the criteria variables (here barriers) and rank the alternatives (here resilient capabilities). Five criteria of barriers were identified for the purpose of the study, namely, strategic barriers, technological barriers, cultural barriers, individual barriers, and organizational barriers. Twenty-three subcriteria were identified for these barriers. Six capabilities were decided upon to be prioritized out of which planning capabilities were obtained to be the most important followed by collaborative, agile, supply chain design modification capability, interoperability, and supply flexibility. The study attempts to fill the gap identified in the literature regarding the lack of studies on supply chain resilience barriers. It therefore provides a realistic framework to prioritize the resilience capabilities required for mitigating such barriers.
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TL;DR: A function to help in the ordering of fuzzy subsets of the unit interval is introduced, which is the integral of the mean of the level sets associated with the fuzzy subset.
1,302 citations
TL;DR: This paper forms reliability models based on both the PMP and the UFLP and presents an optimal Lagrangian relaxation algorithm to solve them, and discusses how to use these models to generate a trade-off curve between the day-to-day operating cost and the expected cost, taking failures into account.
Abstract: Classical facility location models like the P-median problem (PMP) and the uncapacitated fixed-charge location problem (UFLP) implicitly assume that, once constructed, the facilities chosen will always operate as planned. In reality, however, facilities "fail" from time to time due to poor weather, labor actions, changes of ownership, or other factors. Such failures may lead to excessive transportation costs as customers must be served from facilities much farther than their regularly assigned facilities. In this paper, we present models for choosing facility locations to minimize cost, while also taking into account the expected transportation cost after failures of facilities. The goal is to choose facility locations that are both inexpensive under traditional objective functions and also reliable. This reliability approach is new in the facility location literature. We formulate reliability models based on both the PMP and the UFLP and present an optimal Lagrangian relaxation algorithm to solve them. We discuss how to use these models to generate a trade-off curve between the day-to-day operating cost and the expected cost, taking failures into account, and we use these trade-off curves to demonstrate empirically that substantial improvements in reliability are often possible with minimal increases in operating cost.
703 citations
TL;DR: A fuzzy ranking method is used to rank the fuzzy objective values and to deal with the inequality relation on constraints in linear programming problems where all the coefficients are, in general, fuzzy numbers.
544 citations
TL;DR: A comprehensive review of studies in the fields of SCND and reverse logistics network design under uncertainty and existing optimization techniques for dealing with uncertainty such as recourse-based stochastic programming, risk-averse stochastics, robust optimization, and fuzzy mathematical programming are explored.
442 citations
TL;DR: This paper addresses the problem of socially responsible supply chain network design under uncertain conditions by developing a bi-objective mathematical programming model, called robust possibilistic programming (RPP), and several varieties of RPP models are developed.
396 citations