Master data

Title: An Integer Linear Programming Approach for the Combined Cell Layout Problem
Subtitle:
Abstract:

The Combined Cell Layout Problem aims to minimize the material handling costs in a cellular manufacturing system with at least two cells where processing occurs, and in the presence of pieces that need to be processed in more than one cell. The alignment of the machines in each cell can follow a row or a circular layout. We propose an Integer Linear Programming approach for solving this problem. In a computational study we show that our approach is able to solve instances with up to 240 machines arranged in 10 cells to optimality within one minute.

Keywords: Facility planning and design, circular layout, single-row layout, combined cell layout, integer linear programming.
Publication type: Article in Proceedings (Authorship)
Publication date: 14.01.2019 (Online)
Published by: 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
to publication
 ( IEEE; )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: pp. 705 - 709

Versionen

Keine Version vorhanden
Publication date: 14.01.2019
ISBN (e-book): -
eISSN: 2157-362X
DOI: http://dx.doi.org/10.1109/IEEM.2018.8607272
Homepage: https://ieeexplore.ieee.org/document/8607272
Open access
  • Available online (not open access)

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Mathematik
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Austria
   math@aau.at
https://www.aau.at/mathematik
To organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee
Universität Klagenfurt
 
Karl Popper Kolleg (Doktorats- und Wissenschaftskolleg)
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
To organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Categorisation

Subject areas
  • 101015 - Operations research
  • 101016 - Optimisation
Research Cluster No research Research Cluster selected
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
working groups
  • Diskrete Mathematik und Optimierung

Cooperations

Organisation Address
Ecole Polytechnique de Montreal
2900 Boulevard Edouard-Montpetit
H3T 1J4 Montreal
Canada
   miguel-f.anjos@polymtl.ca
2900 Boulevard Edouard-Montpetit
CA - H3T 1J4  Montreal

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