Volume 56, Number 4, July-August 2022
|2621 - 2649
|18 August 2022
Minimizing the total weighted earliness and tardiness for a sequence of operations in job shops
Department of Aerospace Engineering, Indian Institute of Space Science and Technology, Thiruvananthapuram 695547, Kerala, India
2 Department of Mechanical Engineering, College of Engineering Perumon, Kollam 691601, Kerala, India
* Corresponding author: email@example.com
Accepted: 13 July 2022
This paper proposes exact algorithms to generate optimal timing schedules for a given sequence of operations in job shops to minimize the total weighted earliness and tardiness. The algorithms are proposed for two job shop scheduling scenarios, one involving due dates only for the last operation of each job and the other involving due dates for all operations on all the jobs. Computational experiments on benchmark problem instances reveal that, in the case of the scheduling scenario involving due dates only for the last operation of each job, the proposed exact algorithms generate schedules faster than those generated using a popular optimization solver. In the case of the scheduling scenario involving due dates for all operations on all the jobs, the exact algorithms are competitive with the optimization solver in terms of computation time for small and medium size problems.
Mathematics Subject Classification: 90B35
Key words: Job shop scheduling / total weighted earliness-tardiness / optimal timing schedule / just-in-time manufacturing
© The authors. Published by EDP Sciences, ROADEF, SMAI 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.