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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationCombinatorial Optimization and Applications - 5th International Conference, COCOA 2011, Proceedings
Pages64-73
Number of pages10
DOIs
StatePublished - 2011
Event5th Annual International Conference on Combinatorial Optimization and Applications, COCOA 2011 - Zhangjiajie, China
Duration: 4 Aug 20116 Aug 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6831 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th Annual International Conference on Combinatorial Optimization and Applications, COCOA 2011
Country/TerritoryChina
CityZhangjiajie
Period4/08/116/08/11

Keywords

  • Availability constraints
  • Deterioration effects
  • Learning effects
  • Past-sequence-dependent setup times
  • Single-machine scheduling

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