Closed loop supply chain mathematical modeling considering lean agile resilient and green strategies

IF 0.5 Q4 ECONOMICS
Masoud Mohammadzadeh, M. Sobhanallahi, A. Khamseh
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引用次数: 2

Abstract

The supply chain management is planning, implementation and effective control of supply chain operations considered as a key factor for the competitiveness of the organizations. To make these targets, four management strategies of lean, agile, resilient and green have been separately proposed. Recently, studies have been performed with a consideration of these four strategies simultaneously named LARG (Lean, Agile, Resilient and Green). However, due to the novelty of this subject, the mathematical modeling of SCND (Supply Chain Network Design) has not been addressed in LARG strategy. SCND is one of the most essential parts of supply chain management that strategic decisions of it have heavily effects in both overall and partial applicability of the supply chain. The goal of this paper is to design a closed loop supply chain network considering LARG strategy using multi-objective modeling with uncertain demand. The objective functions are total profit, customer satisfaction and total pollution. The model is formulated to determine which facility sites should be selected (strategic decisions), and find out the optimal number of parts and products in the network (tactical decisions). Finally, a real industrial case study is provided to illustrate the performance and applicability of the LARG strategy in SCND in practice.
考虑精益、敏捷、弹性和绿色策略的闭环供应链数学建模
供应链管理是对供应链运作的计划、实施和有效控制,被认为是组织竞争力的关键因素。为实现这些目标,分别提出了精益、敏捷、弹性和绿色四种管理策略。最近,研究已经进行了考虑这四种策略同时命名为LARG(精益,敏捷,弹性和绿色)。然而,由于这一主题的新颖性,供应链网络设计的数学建模尚未在LARG策略中得到解决。供应链管理是供应链管理中最重要的组成部分之一,其战略决策对供应链的整体适用性和局部适用性都有重要影响。本文的目标是利用需求不确定的多目标建模,设计一个考虑LARG策略的闭环供应链网络。目标函数是总利润、顾客满意度和总污染。制定模型以确定应选择哪些设施站点(战略决策),并找出网络中零件和产品的最优数量(战术决策)。最后,给出了一个实际的工业案例研究,以说明LARG策略在SCND中的性能和适用性。
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
5
审稿时长
22 weeks
期刊介绍: Croatian Operational Research Review (CRORR) is the journal which publishes original scientific papers from the area of operational research. The purpose is to publish papers from various aspects of operational research (OR) with the aim of presenting scientific ideas that will contribute both to theoretical development and practical application of OR. The scope of the journal covers the following subject areas: linear and non-linear programming, integer programing, combinatorial and discrete optimization, multi-objective programming, stohastic models and optimization, scheduling, macroeconomics, economic theory, game theory, statistics and econometrics, marketing and data analysis, information and decision support systems, banking, finance, insurance, environment, energy, health, neural networks and fuzzy systems, control theory, simulation, practical OR and applications. The audience includes both researchers and practitioners from the area of operations research, applied mathematics, statistics, econometrics, intelligent methods, simulation, and other areas included in the above list of topics. The journal has an international board of editors, consisting of more than 30 editors – university professors from Croatia, Slovenia, USA, Italy, Germany, Austria and other coutries.
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