Implicit enumeration based 0&amp;#x2013;1 integer programming for generation maintenance scheduling

Tabari, N.M.; Pirmoradian, Mahdi; Hassanpour, Shayan

doi:10.1109/sibircon.2008.4602605

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…Presuming that adequate manpower is available, the manpower requirement is ensured using (15), and (16) limits the accumulated work hours in a week for each employee. In (17), C is a matrix whose column lists the disallowed combination of two different shifts, for example, if the th element in a column indicates a night shift of Monday and the th element in the same column indicates a morning shift in the following day. Because the combination of these shifts is not legit, we set these elements as 1 and set other elements as 0.…”

Section: Optimal Shift-scheduling Problemmentioning

confidence: 99%

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Optimal Work Shift Scheduling with Fatigue Minimization and Day Off Preferences

Wang

Liu

2014

Mathematical Problems in Engineering

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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.

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Section: Optimal Shift-scheduling Problemmentioning

confidence: 99%

“…A fuzzy 0-1 integer programming model is adopted to find the minimum violation solution. Tabari et al [17] used similar model as Leou's and solved the problem using enumeration-based 0-1 integer programming. All the above formulations focus on minimizing the violation of constraints or the work time difference of each person or machine.…”

Section: Introductionmentioning

confidence: 99%