Total completion time minimization in a 2-stage differentiation flowshop with fixed sequences per job type

  • Authors:
  • Bertrand M. T. Lin;F. J. Hwang

  • Affiliations:
  • Institute of Information Management, Department of Information and Finance Management, National Chiao Tung University, Hsinchu, Taiwan;Institute of Information Management, Department of Information and Finance Management, National Chiao Tung University, Hsinchu, Taiwan

  • Venue:
  • Information Processing Letters
  • Year:
  • 2011

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Abstract

This paper addresses the total completion time minimization in a two-stage differentiation flowshop where the sequences of jobs per type are predetermined. The two-stage differentiation flowshop consists of a stage-1 common machine and m stage-2 parallel dedicated machines. The goal is to determine an optimal interleaved processing sequence of all jobs at the first stage. We propose an O(m^2@?"k"="1^mn"k^m^+^1) dynamic programming algorithm, where n"k is the number of type-k jobs. The running time is polynomial when m is constant.