Minimizing makespan for single machine batch processing with non-identical job sizes using simulated annealing

This research proposes a simulated annealing (SA) approach to minimize makespan for a single batch-processing machine. Each job has a corresponding processing time and size. The machine can process the jobs in batches as long as the machine capacity is not exceeded. The processing time of a batch is...

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Veröffentlicht in:International journal of production economics 2004-01, Vol.87 (2), p.141-147
Hauptverfasser: Melouk, Sharif, Damodaran, Purushothaman, Chang, Ping-Yu
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container_title International journal of production economics
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creator Melouk, Sharif
Damodaran, Purushothaman
Chang, Ping-Yu
description This research proposes a simulated annealing (SA) approach to minimize makespan for a single batch-processing machine. Each job has a corresponding processing time and size. The machine can process the jobs in batches as long as the machine capacity is not exceeded. The processing time of a batch is equal to the longest processing time among all jobs in the batch. Random instances were generated to test our approach with respect to solution quality and run time. The results of the SA approach were compared to CPLEX. Our approach outperforms CPLEX on all the instances.
doi_str_mv 10.1016/S0925-5273(03)00092-6
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subjects Batch processing
Mathematical models
Production scheduling
Scheduling
Simulated annealing
Simulation
Studies
title Minimizing makespan for single machine batch processing with non-identical job sizes using simulated annealing
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