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Solving the selective multi-category parallel-servicing problem

  • Range, Troels Martin

    ()

    (Department of Business and Economics)

  • Lusby, Richard Martin

    ()

    (Department of Engineering Management)

  • Larsen, Jesper

    ()

    (Department of Engineering Management)

Registered author(s):

    In this paper we present a new scheduling problem and describe a shortest path based heuristic as well as a dynamic programming based exact optimization algorithm to solve it. The Selective Multi-Category Parallel-Servicing Problem (SMCPSP) arises when a set of jobs has to be scheduled on a server (machine) with limited capacity. Each job requests service in a prespecified time window and belongs to a certain category. Jobs may be serviced partially, incurring a penalty; however, only jobs of the same category can be processed simultaneously. One must identify the best subset of jobs to process in each time interval of a given planning horizon while respecting the server capacity and scheduling requirements. We compare the proposed solution methods with a MILP formulation and show that the dynamic programming approach is faster when the number of categories is large, whereas the MILP can be solved faster when the number of categories is small.

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    File URL: http://static.sdu.dk/mediafiles//2/9/D/%7B29DB134F-40DA-4AE9-B185-AAC00CD06F06%7Ddpbe5_2013.pdf
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    Paper provided by Department of Business and Economics, University of Southern Denmark in its series Discussion Papers of Business and Economics with number 5/2013.

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    Length: 26 pages
    Date of creation: 05 Mar 2013
    Date of revision:
    Handle: RePEc:hhs:sdueko:2013_005
    Contact details of provider: Postal: Department of Business and Economics, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark
    Phone: 65 50 32 33
    Fax: 65 50 32 37
    Web page: http://www.sdu.dk/ivoe
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    1. S. Illeris & G. Akehurst, 2001. "Introduction," The Service Industries Journal, Taylor & Francis Journals, vol. 21(1), pages 1-4, January.
    2. Range, Troels Martin & Lusby, Richard Martin & Larsen, Jesper, 2013. "A column generation approach for solving the patient admission scheduling problem," Discussion Papers of Business and Economics 1/2013, Department of Business and Economics, University of Southern Denmark.
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