Abstract

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.

Highlights

  • The personnel scheduling problem (PSP) is known as the process of creating an optimized model for work allocation

  • It is very important that electricity generation is continuously maintained in a natural gas combined-cycle power plant (NGCCPP)

  • This study focused on PSPin a large-scale NGCCPP

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Summary

Introduction

The personnel scheduling problem (PSP) is known as the process of creating an optimized model for work allocation. Shutdown of generation due to shift schedules is a big problem for NGCCPPs. There are several jobs that help personnel generate electricity in power plants: process monitoring, maintenance, and repair work. The number of criteria that were determined and evaluated using the ANP method is comprehensive enough to reflect the truth in terms of determining the adequacy of personnel working in the power plant Thanks to this method, schedules can be made that take into account the capabilities of each staff member. This study eliminates shortcomings of multi-objective scheduling based on cost minimization for 80 personnel This is done for the first time with workers at NGCCPPs in the literature on PSPs. The application in this study was carried out at an NGCCPP that has a different structure than other power plants. As a result of the solution of the model, stops caused by unbalanced assignment and their costs are decreased by 92.5%

Personnel Scheduling Problem
Metaheuristic Method
Methodology
Analytic Network Process
Goal Programming
Schematic
Determining
C11: C12: C13: C14: C15: C16: C17: C18: C19: C20
Proposed Goal Programming Model
Model Notations
Model Parameters
Constraints
Analysis of Results
Results and Discussion
Conclusions

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