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Scheduling identical parallel machines with tooling constraints

Andreza Cristina Beezão, Jean-François Cordeau, Gilbert Laporte and Horacio Hideki Yanasse

European Journal of Operational Research, 2017, vol. 257, issue 3, 834-844

Abstract: We model and solve the problem of sequencing a set of jobs with specified processing times and tool requirements on a set of identical parallel machines. Decisions concern the assignment of jobs to machines, their sequencing, and the allocation of tools on each machine. The objective function minimizes the makespan. We propose two mathematical formulations of the problem and an adaptive large neighborhood search metaheuristic in which the destroy and repair operators exploit the structures of two well-known and related combinatorial optimization problems, namely the parallel machine scheduling problem and the job sequencing and tool switching problem on a single machine. Computational experiments conducted on two data sets of 1440 instances show that our algorithm produces excellent results and outperforms existing heuristics.

Keywords: Flexible manufacturing systems; Parallel machines; Sequence-dependent setup times; Tooling constraints; Adaptive large neighborhood search (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:257:y:2017:i:3:p:834-844

DOI: 10.1016/j.ejor.2016.08.008

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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