Optimal work shift scheduling with fatigue minimization and day off preferences

Ta-Chung Wang, Cheng Che Liu

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Shift work disrupts the sleep-wake cycle, leading to sleepiness, fatigue, and performance impairment, with implications for occupational health and safety. For example, aircraft maintenance crew work a 24-hour shift rotation under the job stress of sustaining the flight punctuality rate. If an error occurs during the aircraft maintenance process, this error may become a potential risk factor for flight safety. This paper focuses on optimal work shift scheduling to reduce the fatigue of shiftworkers. We proposed a conditional exponential mathematical model to represent the fatigue variation of workers. The fatigue model is integrated with the work shift scheduling problem with considerations of workers' preferences of days off, company or government regulations, and manpower requirements. The combined problem is formulated as a mixed-integer program, in which the shift assignments are described by binary variables. Using the proposed method, we can find a feasible work shift schedule and also have a schedule that minimizes the peak fatigue of shiftworkers while satisfying their days off demands. Several examples are provided to demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Article number751563
JournalMathematical Problems in Engineering
Volume2014
DOIs
Publication statusPublished - 2014 Jan 1

Fingerprint

Fatigue
Scheduling
Fatigue of materials
Aircraft
Maintenance
Schedule
Safety
Occupational Health
Mixed Integer Program
Binary Variables
Exponential Model
Sleep
Risk Factors
Wake
Scheduling Problem
Assignment
Health
Mathematical Model
Mathematical models
Minimise

All Science Journal Classification (ASJC) codes

  • Mathematics(all)
  • Engineering(all)

Cite this

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Optimal work shift scheduling with fatigue minimization and day off preferences. / Wang, Ta-Chung; Liu, Cheng Che.

In: Mathematical Problems in Engineering, Vol. 2014, 751563, 01.01.2014.

Research output: Contribution to journalArticle

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