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Job Shop Scheduling Problems with Controllable Processing Times

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Theoretical Computer Science (ICTCS 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2202))

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Abstract

Most scheduling models assume that the jobs have fixed processing times. However, in real-life applications the processing time of a job often depends on the amount of resources such as facilities, manpower, funds, etc. allocated to it, and so its processing time can be reduced when additional resources are assigned to the job. A scheduling problem in which the processing times of the jobs can be reduced at some expense is called a scheduling problem with controllable processing times. In this paper we study the job shop scheduling problem under the assumption that the jobs have controllable processing times. We consider two models of controllable processing times: continuous and discrete. For both models we present polynomial time approximation schemes when the number of machines and the number of operations per job are fixed.

Partially supported by EU project APPOL, “Approximation and Online Algorithms”, IST-1999-14084.

Supported by Swiss National Science Foundation project 20-63733.00/1, “Resource Allocation and Scheduling in Flexible Manufacturing Systems”, and by the “Metaheuristics Network”, grant HPRN-CT-1999-00106.

Partially supported by Natural Sciences and Engineering Research Council of Canada grant R3050A01.

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© 2001 Springer-Verlag Berlin Heidelberg

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Jansen, K., Mastrolilli, M., Solis-Oba, R. (2001). Job Shop Scheduling Problems with Controllable Processing Times. In: Theoretical Computer Science. ICTCS 2001. Lecture Notes in Computer Science, vol 2202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45446-2_7

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  • DOI: https://doi.org/10.1007/3-540-45446-2_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42672-1

  • Online ISBN: 978-3-540-45446-5

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