Journal ArticleDOI
Solving a multi-floor layout design model of a dynamic cellular manufacturing system by an efficient genetic algorithm
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TLDR
In this article, a mixed-integer programming model for a multi-floor layout design of cellular manufacturing systems (CMSs) in a dynamic environment is presented, which concurrently determines the cell formation (CF) and group layout (GL) as the interrelated decisions involved in the design of a CMS in order to achieve an optimal (or near-optimal) design solution.About:
This article is published in Journal of Manufacturing Systems.The article was published on 2014-01-01. It has received 85 citations till now. The article focuses on the topics: Cellular manufacturing & Page layout.read more
Citations
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A review on genetic algorithm: past, present, and future
TL;DR: The analysis of recent advances in genetic algorithms is discussed and the well-known algorithms and their implementation are presented with their pros and cons with the aim of facilitating new researchers.
Journal ArticleDOI
The evolution and future of manufacturing: A review
TL;DR: A review of both the tangible and intangible elements of manufacturing systems and a state-of-the-art survey of published work can be found in this article, where the evolution of research in manufacturing starting from past and current trends to future developments is discussed.
Journal ArticleDOI
Modular based flexible digital twin for factory design
TL;DR: Flexible digital twin is proposed to support factory design so that designer can quickly evaluate different designs and find design flaws in an easy way and consequently time saving can be benefited.
Journal ArticleDOI
A review of applications of genetic algorithms in operations management
TL;DR: A review of the literature on OM with GA-based solutions and possible gaps to suggest possible gaps from the point of view of researchers and practitioners to pave the path for future research to apply GAs to solve OM problems.
Journal ArticleDOI
Mathematical optimization approaches for facility layout problems: The state-of-the-art and future research directions
TL;DR: In this article, the main contributions to the area made using mathematical optimization, mostly mixed integer linear optimization and conic optimization, are summarized and briefly discussed directions that remain open for future research.
References
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Book
Computers and Intractability: A Guide to the Theory of NP-Completeness
TL;DR: The second edition of a quarterly column as discussed by the authors provides a continuing update to the list of problems (NP-complete and harder) presented by M. R. Garey and myself in our book "Computers and Intractability: A Guide to the Theory of NP-Completeness,” W. H. Freeman & Co., San Francisco, 1979.
Book
Genetic algorithms and engineering design
光男 玄,Runwei Cheng +1 more
TL;DR: Findings of Genetic Algorithms and Selected Topics in Engineering Design help solve problems in optimization, including Flow-Shop Sequencing Problems, Machine Scheduling Problems, and Facility Layout Design Problems.
Journal ArticleDOI
Facility layout problems: a survey
TL;DR: A general framework to analyze the literature and present existing works using such criteria as: the manufacturing system features, static/dynamic considerations, continual/discrete representation, problem formulation, and resolution approach is suggested.
Book
Genetic Algorithms: Concepts and Designs
Kim Fung Man,K.S. Tang,S. Kwong +2 more
TL;DR: Genetic Algorithms in Speech Recognition Systems.- 8.2.1 Background of Speech Recogning Systems.