Development of Automatic Generation of Maintenance Worker Schedule Using Tabu Search

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.