Pareto and scalar bicriterion optimization in scheduling deteriorating jobs

  • Authors:
  • S. Gawiejnowicz;W. Kurc;L. Pankowska

  • Affiliations:
  • Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Umultowska 87, 61-614 Poznań, Poland;Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Umultowska 87, 61-614 Poznań, Poland;Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Umultowska 87, 61-614 Poznań, Poland

  • Venue:
  • Computers and Operations Research
  • Year:
  • 2006

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Abstract

In the paper two problems of a single machine bicriterion scheduling of a set of deteriorating jobs are considered. The jobs are independent, nonpreemptable and are ready for processing at time 0. The processing time p"j of each job is a linear function of the starting time S"j of the job, p"j=1+@a"jS"j, where S"j=0 and @a"j0 for j=0,1,...,n. The first problem is to find a schedule which is Pareto optimal with respect to @SC"j and C"m"a"x criteria. The second problem is to find an optimal schedule subject to the minimization of the criterion in the form of @l@SC"j+(1-@l)C"m"a"x, where @l@?[0,1]. There are given necessary and sufficient conditions for a schedule to be Pareto optimal for the first problem. It is proved that there exists 0