Single machine scheduling with past-sequence-dependent setup times and learning effects

  • Authors:
  • Wen-Hung Kuo;Dar-Li Yang

  • Affiliations:
  • Department of Information Management, National Formosa University, Yun-Lin 632, Taiwan;Department of Information Management, National Formosa University, Yun-Lin 632, Taiwan

  • Venue:
  • Information Processing Letters
  • Year:
  • 2007

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Abstract

This paper studies a single machine scheduling problem with setup times and learning considerations. The setup times are proportional to the length of the already scheduled jobs. That is, the setup times are past-sequence-dependent. It is assumed that the learning process reflects a decrease in the process time as a function of the number of repetitions, i.e., as a function of the job position in the sequence. The following objectives are considered: the makespan, the total completion time, the total absolute differences in completion times and the sum of earliness, tardiness and common due-date penalty. Polynomial time algorithms are proposed to optimally solve the above objective functions.