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Nonpermutation flow line scheduling by ant colony optimization

Published online by Cambridge University Press:  19 June 2013

Andrea Rossi  and
Michele Lanzetta
Andrea Rossi
Affiliation:
Department of Civil and Industrial Engineering, University of Pisa, Pisa, Italy
Michele Lanzetta*
Affiliation:
Department of Civil and Industrial Engineering, University of Pisa, Pisa, Italy
*
Reprint requests to: Michele Lanzetta, Department of Civil and Industrial Engineering, University of Pisa, Largo Lazzarino, 56122 Pisa, Italy. E-mail: lanzetta@unipi.it
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Abstract

A flow line is a conventional manufacturing system where all jobs must be processed on all machines with the same operation sequence. Line buffers allow nonpermutation flowshop scheduling and job sequences to be changed on different machines. A mixed-integer linear programming model for nonpermutation flowshop scheduling and the buffer requirement along with manufacturing implication is proposed. Ant colony optimization based heuristic is evaluated against Taillard's (1993) well-known flowshop benchmark instances, with 20 to 500 jobs to be processed on 5 to 20 machines (stages). Computation experiments show that the proposed algorithm is incumbent to the state-of-the-art ant colony optimization for flowshop with higher job to machine ratios, using the makespan as the optimization criterion.

Keywords

Ant Colony SystemBenchmark ProblemsManufacturing SystemNonpermutation FlowshopScheduling
Type
Regular Articles
Information
AI EDAM , Volume 27 , Issue 4 , November 2013 , pp. 349 - 357
Copyright
Copyright © Cambridge University Press 2013 

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