Utilization of Johnson's Algorithm for Enhancing Scheduling Efficiency and Identifying the Best Operation Sequence: An Illustrative Scenario
Sharif Ullah, Selim Molla, Iqtiar Siddique, Anamika Ahmed Siddique, Md Minhajul Abedin
Abstract
This study's primary objective is the enhancement of makespan optimization, thereby minimizing unproductive time for both machinery and tasks. The research employs a case study methodology, focusing on job scheduling within anElectronicsmanufacturing facility, with a particular emphasis on resource availability. It implements Johnson's algorithm and its expanded versions designed for both two-machine and three-machine scenarios within the context of flow shop scheduling. The principal aim is to identify optimal sequences for scheduling. Within this framework, the investigation computes idle time and makespan metrics for individual machines, utilizing task processing durations and in-out timestamps. The findings reveal anoptimal idle time of 6.21 minutes and a makespan of 142.06minutes for scenarios involving two machines. Furthermore, the research extends its analysis to scenarios with three machines, where two machines are combined in each group, resulting in an optimal idle time of 5.22minutes for combined machine A2, 14.98minutes for combined machine A3, and a makespan of 192minutes. This study provides valuable insights applicable to industries dealing with diverse machinery and components, ultimately contributing to improved scheduling and productivity.