Optimal Fair-Workload Scheduling: A Case Study at Glorytek

Taichung is the center of the Taiwanese precision optical industry. Optics companies are modernized and automated, with most running 24 h production lines. With machines running around the clock, production lines must be assigned engineers to handle unexpected situations. The optical lens industry d...

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Main Authors: Tzu-Chin Lin, Bertrand M. T. Lin
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/19/4051
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author Tzu-Chin Lin
Bertrand M. T. Lin
author_facet Tzu-Chin Lin
Bertrand M. T. Lin
author_sort Tzu-Chin Lin
collection DOAJ
description Taichung is the center of the Taiwanese precision optical industry. Optics companies are modernized and automated, with most running 24 h production lines. With machines running around the clock, production lines must be assigned engineers to handle unexpected situations. The optical lens industry depends on precision technology. For fully automated production lines, each production process requires an engineer to be on call to troubleshoot production problems in real-time. However, shifts are currently scheduled manually, and the staff of each unit are responsible for scheduling the various production processes for each month. Administrative staff for each engineering department must take half a day to one day to complete the shift for a month, with results that usually do not ensure the best average workload, often leading engineers to question its fairness. Considering the manpower requirements for the actual production line shift and the fairness of balancing shifts, the scope of this study is the shift scheduling of engineering staff in the assembly line to perform different duties during a fixed cycle. The research aims to provide a solution for Glorytek to increase the efficiency of engineering shift scheduling and optimize the allocation of engineering staff. We will compare the duty allocation and efficiency of the current manual shift scheduling system with a new automated one. The results show that the efficiency of shift scheduling arrangements increased by more than 96%, and the maximum number of days of staff attendance (5 days) is less than that for manual assignment (6 days) while still satisfying the shift limits stipulated by the company. Two factors remain when implementing the proposed system. First, due to technical concerns, the internal process of the scheduling arrangement would be shifted from administrative staff to the IT department. Another concern is the inevitable investment in off-the-shelf optimization software.
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spelling doaj.art-18fdf61b7aef4503bfdc2f75c78b8add2023-11-19T14:42:42ZengMDPI AGMathematics2227-73902023-09-011119405110.3390/math11194051Optimal Fair-Workload Scheduling: A Case Study at GlorytekTzu-Chin Lin0Bertrand M. T. Lin1Institute of Information Management, National Yang Ming Chiao Tung University, Hsinchu 300, TaiwanInstitute of Information Management, National Yang Ming Chiao Tung University, Hsinchu 300, TaiwanTaichung is the center of the Taiwanese precision optical industry. Optics companies are modernized and automated, with most running 24 h production lines. With machines running around the clock, production lines must be assigned engineers to handle unexpected situations. The optical lens industry depends on precision technology. For fully automated production lines, each production process requires an engineer to be on call to troubleshoot production problems in real-time. However, shifts are currently scheduled manually, and the staff of each unit are responsible for scheduling the various production processes for each month. Administrative staff for each engineering department must take half a day to one day to complete the shift for a month, with results that usually do not ensure the best average workload, often leading engineers to question its fairness. Considering the manpower requirements for the actual production line shift and the fairness of balancing shifts, the scope of this study is the shift scheduling of engineering staff in the assembly line to perform different duties during a fixed cycle. The research aims to provide a solution for Glorytek to increase the efficiency of engineering shift scheduling and optimize the allocation of engineering staff. We will compare the duty allocation and efficiency of the current manual shift scheduling system with a new automated one. The results show that the efficiency of shift scheduling arrangements increased by more than 96%, and the maximum number of days of staff attendance (5 days) is less than that for manual assignment (6 days) while still satisfying the shift limits stipulated by the company. Two factors remain when implementing the proposed system. First, due to technical concerns, the internal process of the scheduling arrangement would be shifted from administrative staff to the IT department. Another concern is the inevitable investment in off-the-shelf optimization software.https://www.mdpi.com/2227-7390/11/19/4051shift schedulinginteger programmingoptics manufacture companyfairnessworkforce planning
spellingShingle Tzu-Chin Lin
Bertrand M. T. Lin
Optimal Fair-Workload Scheduling: A Case Study at Glorytek
Mathematics
shift scheduling
integer programming
optics manufacture company
fairness
workforce planning
title Optimal Fair-Workload Scheduling: A Case Study at Glorytek
title_full Optimal Fair-Workload Scheduling: A Case Study at Glorytek
title_fullStr Optimal Fair-Workload Scheduling: A Case Study at Glorytek
title_full_unstemmed Optimal Fair-Workload Scheduling: A Case Study at Glorytek
title_short Optimal Fair-Workload Scheduling: A Case Study at Glorytek
title_sort optimal fair workload scheduling a case study at glorytek
topic shift scheduling
integer programming
optics manufacture company
fairness
workforce planning
url https://www.mdpi.com/2227-7390/11/19/4051
work_keys_str_mv AT tzuchinlin optimalfairworkloadschedulingacasestudyatglorytek
AT bertrandmtlin optimalfairworkloadschedulingacasestudyatglorytek