<b>Development of Automatic Generation of Maintenance Worker Schedule Using Tabu Search</b>

Maintenance worker schedules are daily schedules for teams performing inspection and maintenance work such as cleaning of rolling stock during turnaround operations at terminal stations. Since these schedules vary from day to day according to changes in rolling stock operations, they have to be created for each day. We have therefore proposed a method for automatically generating maintenance worker schedules using tabu search. In this paper, to confirm the effectiveness of the proposed method, we compared an actual schedule with schedules generated using proposed method. The results indicated that the proposed method could generate a practical solution within 3 minutes.

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Publication Details

Journal
Quarterly Report of RTRI
Published
2024-08-01
DOI
https://doi.org/10.2219/rtriqr.65.3_170
Primary Topic
Vehicle Routing Optimization Methods
Type
article
Field-Weighted Citation Impact
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article

Development of Automatic Generation of Maintenance Worker Schedule Using Tabu Search

Satoshi Kato, Taichi Nakahigashi, Tatsuya Kokubo
Quarterly Report of RTRI
Vehicle Routing Optimization Methods
article

Development of Automatic Generation of Maintenance Worker Schedule Using Tabu Search

Satoshi Kato, Taichi Nakahigashi, Tatsuya Kokubo
article en

Abstract

Maintenance worker schedules are daily schedules for teams performing inspection and maintenance work such as cleaning of rolling stock during turnaround operations at terminal stations. Since these schedules vary from day to day according to changes in rolling stock operations, they have to be created for each day. We have therefore proposed a method for automatically generating maintenance worker schedules using tabu search. In this paper, to confirm the effectiveness of the proposed method, we compared an actual schedule with schedules generated using proposed method. The results indicated that the proposed method could generate a practical solution within 3 minutes.

Quarterly Report of RTRIVol. 65(3)
Systems Technology (United States) (US)
Openalex Percentile: Top 81%
Vehicle Routing Optimization Methods
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