Journal ArticleDOI
A memetic algorithm for bi-objective integrated forward/reverse logistics network design
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This paper proposes a model for integrated logistics network design to avoid the sub-optimality caused by a separate, sequential design of forward and reverse logistics networks, and develops a bi-objective mixed integer programming formulation to minimize the total costs and maximize the responsiveness of a logistics network.About:
This article is published in Computers & Operations Research.The article was published on 2010-06-01. It has received 429 citations till now. The article focuses on the topics: Reverse logistics & Integrated logistics support.read more
Citations
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Journal ArticleDOI
Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future
TL;DR: The aim of this paper is to review recently published papers in reverse logistic and closed-loop supply chain in scientific journals and identify gaps in the literature to clarify and to suggest future research opportunities.
Journal ArticleDOI
A robust optimization approach to closed-loop supply chain network design under uncertainty
TL;DR: In this article, a robust optimization model for handling the inherent uncertainty of input data in a closed-loop supply chain network design problem is proposed, and the robust counterpart of the proposed mixed-integer linear programming model is presented by using the recent extensions in robust optimization theory.
Journal ArticleDOI
Multiple criteria facility location problems: A survey
TL;DR: A review on recent efforts and development in multi-criteria location problems in three categories including bi-objective, multiobjective and multi-attribute problems and their solution methods is provided in this article.
Journal ArticleDOI
Sustainable supply chain network design: An optimization-oriented review☆
TL;DR: The review finds that there are a number of limitations to the current research in sustainable SCND, and promising new avenues of research to more effectively include sustainability into SCND models are found.
Journal ArticleDOI
A possibilistic programming approach for closed-loop supply chain network design under uncertainty
TL;DR: A bi-objective possibilistic mixed integer programming model to deal with closed-loop supply chain network design problems and an interactive fuzzy solution approach is developed by combining a number of efficient solution approaches from the recent literature.
References
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MonographDOI
Genetic algorithms and engineering optimization
Mitsuo Gen,Runwei Cheng +1 more
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.
Book
Handbook Of Metaheuristics
Fred Glover,Gary A. Kochenberger +1 more
TL;DR: This book discusses Metaheuristic Class Libraries, Hyper-Heuristics, and Artificial Neural Networks for Combinatorial Optimization, which are concerned withMetaheuristic Algorithms and their applications in Search Technology.
Journal ArticleDOI
The Impact of Product Recovery on Logistics Network Design
Moritz Fleischmann,Moritz Fleischmann,Patrick Beullens,Patrick Beullens,Jacqueline M. Bloemhof-Ruwaard,Jacqueline M. Bloemhof-Ruwaard,Luk N. Van Wassenhove,Luk N. Van Wassenhove +7 more
TL;DR: This paper considers logistics network design in a reverse logistics context with a generic facility location model and uses this model to analyze the impact of product return flows on logistics networks.
Journal ArticleDOI
A multi-objective approach to simultaneous strategic and operational planning in supply chain design
Ehap Sabri,Benita M. Beamon +1 more
TL;DR: An integrated multi-objective supply chain model is developed for use in simultaneous strategic and operational SC planning and will aid in the design of efficient, effective, and flexible supply chain systems and evaluation of competing SC networks.
Journal ArticleDOI
A genetic algorithm approach for multi-objective optimization of supply chain networks
TL;DR: A new solution procedure based on genetic algorithms to find the set of Pareto-optimal solutions for multi-objective SCN design problem and two different weight approaches are implemented in the proposed solution procedure.
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