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Official URL: http://dx.doi.org/10.1016/j.disopt.2009.05.002

Abstract

We consider a scheduling problem where the processing time of any job is dependent on the usage of a discrete renewable resource, e.g. personnel. An amount of units of that resource can be allocated to the jobs at any time, and the more of that resource is allocated to a job, the smaller its processing time. The objective is to find a resource allocation and a schedule that minimizes the makespan. We explicitly allow for succinctly encodable time-resource tradeoff functions, which calls for mathematical programming techniques other than those that have been used before. Utilizing a (nonlinear) integer mathematical program, we obtain the first polynomial time approximation algorithm for the scheduling problem, with performance bound for any . Our approach relies on a fully polynomial time approximation scheme to solve the nonlinear mathematical programming relaxation. We also derive lower bounds for the approximation.

Available Versions of this Item

• Scheduling Parallel Jobs with Time-Resource Tradeoff via Nonlinear Programming (deposited 12 March 2009)
  • Scheduling jobs with time-resource tradeoff via nonlinear programming (deposited 28 August 2009)
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