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Analysis of Workforce Scheduling Using Adjusted Man-machine Chart and Simulation

보완 다중 활동 분석표와 시뮬레이션을 이용한 작업자 운영 전략 분석

  • Hyowon Choi (Department of Industrial Engineering, Pusan National University) ;
  • Heejae Byeon (Department of Industrial Engineering, Pusan National University) ;
  • Suhan Yoon (Department of Industrial Engineering, Pusan National University) ;
  • Bosung Kim (Department of Industrial Engineering, Pusan National University) ;
  • Soondo Hong (Department of Industrial Engineering, Pusan National University)
  • Received : 2024.01.20
  • Accepted : 2024.02.21
  • Published : 2024.03.31

Abstract

Determining the number of operators who set up the machines in a human-machine system is crucial for maximizing the benefits of automated production machines. A man-machine chart is an effective tool for identifying bottlenecks, improving process efficiency, and determining the optimal number of machines per operator. However, traditional man-machine charts are lacking in accounting for idle times, such as interruptions caused by other material handling equipment. We present an adjusted man-machine chart that determines the number of machines per operator, incorporating idleness as a penalty term. The adjusted man-machine chart efficiently deploys and schedules operators for the hole machining process to enhance productivity, where operators have various idle times, such as break times and waiting times by forklifts or trailers. Further, we conduct a simulation validation of traditional and proposed charts under various operational environments of operators' fixed and flexible break times. The simulation results indicate that the adjusted man-machine chart is better suited for real-world work environments and significantly improves productivity.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF2020R1A2C2004320), and in part by "Regional Innovation Strategy (RIS)" through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (MOE)(2023RIS-007).

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