Fast approximation algorithms for bi-criteria scheduling with machine assignment costs

Kangbok Lee, Joseph Y-T. Leung, Zhao-hong Jia, Wenhua Li, Michael L. Pinedo and Bertrand M.T. Lin

European Journal of Operational Research, 2014, vol. 238, issue 1, 54-64

Abstract: We consider parallel machine scheduling problems where the processing of the jobs on the machines involves two types of objectives. The first type is one of two classical objective functions in scheduling theory: either the total completion time or the makespan. The second type involves an actual cost associated with the processing of a specific job on a given machine; each job-machine combination may have a different cost. Two bi-criteria scheduling problems are considered: (1) minimize the maximum machine cost subject to the total completion time being at its minimum, and (2) minimize the total machine cost subject to the makespan being at its minimum. Since both problems are strongly NP-hard, we propose fast heuristics and establish their worst-case performance bounds.

Keywords: Bi-criteria scheduling; Maximum machine cost; Total machine cost; Makespan; Total completion time; Heuristics (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:238:y:2014:i:1:p:54-64

DOI: 10.1016/j.ejor.2014.03.026

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