Solving Manufacturing Cell Design Problems by Using a Bat Algorithm Approach

Manufacturing Cell Design is a problem that consist in distributing machines in cells, in such a way productivity is improved. The idea is that a product, build up by using different parts, has the least amount of travel on its manufacturing process. To solve the MCDP we use the Bat Algorithm, a met...

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Bibliographic Details
Published inAdvances in Swarm Intelligence pp. 184 - 191
Main Authors Soto, Ricardo, Crawford, Broderick, Alarcón, Andrés, Zec, Carolina, Vega, Emanuel, Reyes, Victor, Araya, Ignacio, Olguín, Eduardo
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2016
SeriesLecture Notes in Computer Science
Subjects
Bat algorithm
Bio-inspired systems
Manufacturing Cell Design Problems
Metaheuristic
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ISBN9783319409993
3319409999
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-41000-5_18

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Summary:Manufacturing Cell Design is a problem that consist in distributing machines in cells, in such a way productivity is improved. The idea is that a product, build up by using different parts, has the least amount of travel on its manufacturing process. To solve the MCDP we use the Bat Algorithm, a metaheuristic inspired by a feature of the microbats, the echolocation. This feature allows an automatic exploration and exploitation balance, by controlling the rate of volume and emission pulses during the search. Our approach has been tested by using a well-known set of benchmark instances, reaching optimal values for most of them.
ISBN:9783319409993
3319409999
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-41000-5_18