LAPSE:2019.1293
Published Article
LAPSE:2019.1293
Sustainable Personnel Scheduling Problem Optimization in a Natural Gas Combined-Cycle Power Plant
December 9, 2019
This paper deals with a sustainable personnel scheduling problem of personnel working in a large-scale natural gas combined-cycle power plant in Turkey. The proposed model focuses on employee complaints due to unfair work schedules and the results of balanced assignments based on power plant interruptions. Eighty personnel work in three shifts at this natural gas combined-cycle power plant. The model is solved with respect to some of the workers’ skills, and there are 20 criteria regarding skills. The analytic network process method is used to get the weights of workers’ skills, which are calculated and included in the model. Goal programming is used in this paper. Our proposed model gives cost minimization and fair work schedules for the power plant. Compared with the literature, the number and set of criteria are unique in terms of personnel competency in the energy sector. Minimizing cost and imbalanced assignments was achieved by the proposed model for the first time without considering the sector.
Keywords
analytic network process (ANP), electricity generation sector, goal programming (GP), natural gas combined-cycle power plant, Optimization, skill-based personnel scheduling
Suggested Citation
Özder EH, Özcan E, Eren T. Sustainable Personnel Scheduling Problem Optimization in a Natural Gas Combined-Cycle Power Plant. (2019). LAPSE:2019.1293
Author Affiliations
Özder EH: Department of Management Information, Faculty of Commercial Science, Başkent University, Ankara 06790, Turkey [ORCID]
Özcan E: Department of Industrial Engineering, Faculty of Engineering, Kırıkkale University, Kırıkkale 71450, Turkey [ORCID]
Eren T: Department of Industrial Engineering, Faculty of Engineering, Kırıkkale University, Kırıkkale 71450, Turkey [ORCID]
Journal Name
Processes
Volume
7
Issue
10
Article Number
E702
Year
2019
Publication Date
2019-10-05
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr7100702, Publication Type: Journal Article
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LAPSE:2019.1293
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doi:10.3390/pr7100702
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Dec 9, 2019
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CC BY 4.0
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[v1] (Original Submission)
Dec 9, 2019
 
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Dec 9, 2019
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v1
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https://psecommunity.org/LAPSE:2019.1293
 
Original Submitter
Calvin Tsay
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