Journal Article10.1016/J.ESWA.2010.09.091
Using multi-objective genetic algorithm for partner selection in green supply chain problems
Wei-Chang Yeh,Mei-Chi Chuang +1 more
445
TL;DR: The aim of this research was to develop an optimum mathematical planning model for green partner selection, which involved four objectives such as cost, time, product quality and green appraisal score and adopted two multi-objective genetic algorithms to find the set of Pareto-optimal solutions.
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Abstract: Partner selection is an important issue in the supply chain management. Since environment protection has been of concern to public in recent years, and the traditional supplier selection did not consider about this factor; therefore, this paper introduced green criteria into the framework of supplier selection criteria. The aim of this research was to develop an optimum mathematical planning model for green partner selection, which involved four objectives such as cost, time, product quality and green appraisal score. In order to solve these conflicting objectives, we adopted two multi-objective genetic algorithms to find the set of Pareto-optimal solutions, which utilized the weighted sum approach that can generate more number of solutions. In experimental analysis, we introduced a {4,4,4,4} supply chain network structure, and compared average number Pareto-optimal solutions and CPU times of two algorithms.
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Citations
A comparative literature analysis of definitions for green and sustainable supply chain management
Payman Ahi,Cory Searcy +1 more
TL;DR: In this article, the authors identify and analyze the published definitions of green supply chain management (GSCM) and sustainable supply chain Management (SSCM) and two different sets of key characteristics for business sustainability (economic, environmental, social, stakeholder, volunteer, resilience, and long-term focuses) and SCM (i.e., flow, coordination, stake holder, relationship, value, efficiency, and performance focuses) were proposed.
1.1K
Multi criteria decision making approaches for green supplier evaluation and selection: a literature review
TL;DR: A large and growing body of literature on green supplier evaluation that considers environmental factors is relatively limited as discussed by the authors, and the most common criterion considered for green supplier selection was "environmental management systems".
1.1K
Application of decision-making techniques in supplier selection: A systematic review of literature
TL;DR: A systematic literature review on articles published from 2008 to 2012 on the application of DM techniques for supplier selection is provided by using a methodological decision analysis in four aspects including decision problems, decision makers, decision environments, and decision approaches.
1K
Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain
TL;DR: In this article, an integrated approach of fuzzy multi attribute utility theory and multi-objective programming is presented for rating and selecting the best green suppliers according to economic and environmental criteria and then allocating the optimum order quantities among them.
739
Selecting green suppliers based on GSCM practices: Using Fuzzy TOPSIS applied to a Brazilian electronics company
TL;DR: This paper proposes a framework using Fuzzy TOPSIS to select green suppliers for a Brazilian electronics company; this framework is built on the criteria of green supply chain management (GSCM) practices.
683
References
•Book
Multi-Objective Optimization Using Evolutionary Algorithms
Kalyanmoy Deb,Deb Kalyanmoy +1 more
- 01 Jan 2001
TL;DR: This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.
•Book
Evolutionary algorithms for solving multi-objective problems
Gary B. Lamont,David A. Van Veldhuizen +1 more
- 30 Jun 2002
TL;DR: This paper presents a meta-anatomy of the multi-Criteria Decision Making process, which aims to provide a scaffolding for the future development of multi-criteria decision-making systems.
Genetic algorithms and engineering optimization
Mitsuo Gen,Runwei Cheng +1 more
- 17 Dec 1999
TL;DR: This paper presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and therefore expensive and labor-heavy process of designing and solving optimization problems.
2.7K
A strategic decision framework for green supply chain management
TL;DR: In this paper, the authors present a strategic decision framework that will aid managerial decision-making based on literature and practice in the area of environmentally conscious business practices and explore the applicability of a dynamic non-linear multi-attribute decision model, defined as the analytical network process, for decision making within the green supply chain.
1.4K
Optimal Lot Sizing, Process Quality Improvement and Setup Cost Reduction
TL;DR: It is demonstrated that lower setup costs can benefit production systems by improving quality control by introducing a simple model that captures a significant relationship between quality and lot size.
1.1K