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Optimal Work Shift Scheduling with Fatigue Minimization and Day Off Preferences
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-10
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wang, Ta-Chung& Liu, Cheng-Che. 2014. Optimal Work Shift Scheduling with Fatigue Minimization and Day Off Preferences. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-495863
Modern Language Association (MLA)
Wang, Ta-Chung& Liu, Cheng-Che. Optimal Work Shift Scheduling with Fatigue Minimization and Day Off Preferences. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-495863
American Medical Association (AMA)
Wang, Ta-Chung& Liu, Cheng-Che. Optimal Work Shift Scheduling with Fatigue Minimization and Day Off Preferences. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-495863
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495863