Proportionate flow shop games

  • Authors:
  • Arantza Estévez-Fernández;Manuel A. Mosquera;Peter Borm;Herbert Hamers

  • Affiliations:
  • Department of Econometrics and Operations Research, VU University Amsterdam, Amsterdam, The Netherlands 1081 HV;Department of Statistics and Operations Research, Faculty of Business Administration and Tourism, University of Vigo, Ourense, Spain 32004;CentER and Department of Econometrics and Operations Research, Tilburg University, Tilburg, The Netherlands 5000 LE;CentER and Department of Econometrics and Operations Research, Tilburg University, Tilburg, The Netherlands 5000 LE

  • Venue:
  • Journal of Scheduling
  • Year:
  • 2008

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Abstract

In a proportionate flow shop problem several jobs have to be processed through a fixed sequence of machines and the processing time of each job is equal on all machines. By identifying jobs with agents whose costs linearly depend on the completion time of their jobs and assuming an initial processing order on the jobs, we face two problems: the first is how to obtain an optimal order that minimizes the total processing cost, the second is how to allocate the cost savings obtained by ordering the jobs optimally. In this paper we focus on the allocation problem. PFS games are defined as cooperative games associated to proportionate flow shop problems. It is seen that PFS games have a nonempty core. Moreover, it is shown that PFS games are convex if the jobs are initially ordered in decreasing urgency. For this case an explicit game independent expression for the Shapley value is provided.