Heuristics for minimizing maximum lateness on a single machine with family-dependent set-up times

  • Authors:
  • Reha Uzsoy;Juan Diego Velásquez

  • Affiliations:
  • Laboratory for Extended Enterprises at Purdue, School of Industrial Engineering, Grissom Hall, 315 N. Grant Street, West Lafayette, IN 47907-2023, USA;Laboratory for Extended Enterprises at Purdue, School of Industrial Engineering, Grissom Hall, 315 N. Grant Street, West Lafayette, IN 47907-2023, USA

  • Venue:
  • Computers and Operations Research
  • Year:
  • 2008

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Abstract

We address the problem of scheduling a single machine subject to family-dependent set-up times in order to minimize maximum lateness. We present a number of local improvement heuristics based on the work of previous researchers, a rolling horizon heuristic, and an incomplete dynamic programming heuristic. Extensive computational experiments on randomly generated test problems compare the performance of these heuristics. The rolling horizon procedures perform particularly well but require their parameters to be set based on problem characteristics to obtain their best performance.