Optimal policy for single-machine scheduling with deterioration effects, learning effects, setup times, and availability constraints

  • Authors:
  • Sheng Yu;Yinfeng Xu;Ming Liu;Feifeng Zheng

  • Affiliations:
  • School of Management, Xi'an Jiaotong University, Xi'an, Shaanxi Province, P.R. China;School of Management, Xi'an Jiaotong University, Xi'an, Shaanxi Province, P.R. China and Ministry of Education Key Lab for Process Control and Efficiency Engineering, Xi'an, P.R. China;School of Economics & Management, Tongji University, Shanghai, P.R. China;School of Management, Xi'an Jiaotong University, Xi'an, Shaanxi Province, P.R. China and Ministry of Education Key Lab for Process Control and Efficiency Engineering, Xi'an, P.R. China

  • Venue:
  • COCOA'11 Proceedings of the 5th international conference on Combinatorial optimization and applications
  • Year:
  • 2011

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Abstract

In this paper, we introduce a single-machine scheduling model considering all of the following parameters: general deterioration and learning effects as well as general setup times. We prove that the shortest processing time (SPT) rule produces optimal schedules for the following seven minimization objectives: makespan, sum of αth (α ≥ 0) power of jobs' completion times, total weighted completion time, maximum lateness, total tardiness, total weighted tardiness, and number of tardy jobs. We further show that in the case of resumable scheduling with availability constraints, the above conclusions are still valid.