Scheduling a deteriorating maintenance activity and due-window assignment

Baruch Mor, Gur Mosheiov*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

Several papers published during the last decade dealt with scheduling a maintenance activity and considered a new setting, where the maintenance duration is assumed to be deteriorating, i.e., it requires more time or effort if it is delayed. We study a deteriorating maintenance in the context of due-window assignment, where a time interval is determined such that jobs completed within this interval are "on-time", whereas early and tardy jobs are penalized. Thus, our paper extends known models by considering simultaneously a deteriorating maintenance and due-window. Two deterioration types are considered: time-dependent (where the maintenance time increases as a function of its starting time), and position-dependent (where it is a function of its position in the sequence). The classical assumption of position-independent processing times was considered first, and then the model is extended to general position-dependent processing times. We prove several properties of the optimal timing of the due-window and of the maintenance. Consequently, we show that all the problems studied here are solved in O(n4), where n is the number of jobs.

Original languageAmerican English
Pages (from-to)33-40
Number of pages8
JournalComputers and Operations Research
Volume57
DOIs
StatePublished - May 2015

Bibliographical note

Publisher Copyright:
© 2014 Elsevier Ltd. All rights reserved.

Keywords

  • Assignment problem
  • Deteriorating maintenance activity
  • Due-window
  • Earliness-Tardiness
  • Learning effect
  • Scheduling

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