Heuristics for parallel machine scheduling with batch delivery consideration

Leiyang Wang; Zhaohui Liu

doi:10.3934/jimo.2014.10.259

Article Contents

2014, Volume 10, Issue 1: 259-273. Doi: 10.3934/jimo.2014.10.259

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Heuristics for parallel machine scheduling with batch delivery consideration

Leiyang Wang^1, and
Zhaohui Liu^1,

1.
Department of Mathematics, East China University of Science and Technology, Shanghai 200237

Received: February 2012

Revised: March 2013

Published: January 2014

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Abstract

We consider the parallel machine scheduling problem in which the finished jobs need to be delivered to a customer in batches by a single vehicle. The goal is to minimize the makespan, i.e., the time by which the vehicle has delivered all jobs and returned to its initial location. We distinguish two types of batching strategies. The strategy of Type 1 permits the jobs processed on different machines to compose a delivery batch, and the strategy of Type 2 assumes that only the jobs processed on the same machine can compose a batch. For both types of the $m$-machine case, we propose $(2-\frac{1}{m})$-approximation algorithms respectively. For both types of the two-machine case, we obtain two improved $\frac{4}{3}$-approximation algorithms.

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Mathematics Subject Classification: Primary: 90B35, 90C27; Secondary: 90C59.

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