Minimizing Weighted Tardiness of Jobs with Stochastic Interruptions in Parallel Machines

M. Laguna, P. Lino, A. Pérez, S. Quintanilla and V. Valls
European Journal of Operational Research, vol. 127, no. 2, pp. 444-457 (2000)

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Abstract

In this paper, we address the problem of minimizing expected total weighted tardiness of jobs that have stochastic interruptions and that are processed on a set of parallel machines. Our research generalizes the problem of scheduling parallel machines to minimize total weighted tardiness. The proposed solution method is based on the scatter search methodology and implements an innovative structured combination procedure. Extensive computational testing with more than 400 problem instances shows the merit of the proposed solution method.

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