Parallel Batch Scheduling of Deteriorating Jobs with Release Dates and Rejection

We consider the unbounded parallel batch scheduling with deterioration, release dates, and rejection. Each job is either accepted and processed on a single batching machine, or rejected by paying penalties. The processing time of a job is a simple linear increasing function of its starting time. The...

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Main Authors: Juan Zou, Cuixia Miao
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/270942
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author Juan Zou
Cuixia Miao
author_facet Juan Zou
Cuixia Miao
author_sort Juan Zou
collection DOAJ
description We consider the unbounded parallel batch scheduling with deterioration, release dates, and rejection. Each job is either accepted and processed on a single batching machine, or rejected by paying penalties. The processing time of a job is a simple linear increasing function of its starting time. The objective is to minimize the sum of the makespan of the accepted jobs and the total penalty of the rejected jobs. First, we show that the problem is NP-hard in the ordinary sense. Then, we present two pseudopolynomial time algorithms and a fully polynomial-time approximation scheme to solve this problem. Furthermore, we provide an optimal O(nlog⁡n) time algorithm for the case where jobs have identical release dates.
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spelling doaj-art-8afd7180066e462f94d258e985b13d2e2025-02-03T01:22:48ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/270942270942Parallel Batch Scheduling of Deteriorating Jobs with Release Dates and RejectionJuan Zou0Cuixia Miao1School of Mathematical Sciences, Qufu Normal University, Qufu, Shandong 273165, ChinaSchool of Mathematical Sciences, Qufu Normal University, Qufu, Shandong 273165, ChinaWe consider the unbounded parallel batch scheduling with deterioration, release dates, and rejection. Each job is either accepted and processed on a single batching machine, or rejected by paying penalties. The processing time of a job is a simple linear increasing function of its starting time. The objective is to minimize the sum of the makespan of the accepted jobs and the total penalty of the rejected jobs. First, we show that the problem is NP-hard in the ordinary sense. Then, we present two pseudopolynomial time algorithms and a fully polynomial-time approximation scheme to solve this problem. Furthermore, we provide an optimal O(nlog⁡n) time algorithm for the case where jobs have identical release dates.http://dx.doi.org/10.1155/2014/270942
spellingShingle Juan Zou
Cuixia Miao
Parallel Batch Scheduling of Deteriorating Jobs with Release Dates and Rejection
The Scientific World Journal
title Parallel Batch Scheduling of Deteriorating Jobs with Release Dates and Rejection
title_full Parallel Batch Scheduling of Deteriorating Jobs with Release Dates and Rejection
title_fullStr Parallel Batch Scheduling of Deteriorating Jobs with Release Dates and Rejection
title_full_unstemmed Parallel Batch Scheduling of Deteriorating Jobs with Release Dates and Rejection
title_short Parallel Batch Scheduling of Deteriorating Jobs with Release Dates and Rejection
title_sort parallel batch scheduling of deteriorating jobs with release dates and rejection
url http://dx.doi.org/10.1155/2014/270942
work_keys_str_mv AT juanzou parallelbatchschedulingofdeterioratingjobswithreleasedatesandrejection
AT cuixiamiao parallelbatchschedulingofdeterioratingjobswithreleasedatesandrejection