Resolving the manufacturing cell design problem via hunting search

RICARDO JAVIER SOTO DE GIORGIS, BRODERICK CRAWFORD LABRIN, Rodrigo Olivares, Nicolás Pacheco

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The Manufacturing Cell Design Problems consists in divide a production plant into cells, through which the machines and their processed parts are grouped. The main goal is to build an optimal design that reduces the movements of parts among cells. In this paper, we resolve this problem using a recent population-based metaheuristic called Hunting Search. This technique is inspired by the behavior of a herd of animals working together to hunt a prey. The experimental results demonstrate the efficiency of the proposed approach, which reach all global optimums for a set of 27 well-known instances.

Original languageEnglish
Title of host publicationRecent Trends and Future Technology in Applied Intelligence - 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, Proceedings
EditorsOtmane Ait Mohamed, Malek Mouhoub, Samira Sadaoui, Moonis Ali
PublisherSpringer Verlag
Pages414-420
Number of pages7
ISBN (Print)9783319920573
DOIs
StatePublished - 1 Jan 2018
Event31st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems IEA/AIE 2018 - Montreal, Canada
Duration: 25 Jun 201828 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10868 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference31st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems IEA/AIE 2018
CountryCanada
CityMontreal
Period25/06/1828/06/18

Keywords

  • Hunting search
  • Manufacturing cell design problem
  • Metaheuristic
  • Optimization

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