Multi-level job scheduling under processing time uncertainty

Multi-level job scheduling under processing time uncertainty Computers & Industrial Engineering 120 (2018) 480–487 Contents lists available at ScienceDirect Computers & Industrial Engineering journal homepage: www.elsevier.com/locate/caie a b, a a Byung Jun Joo , Sang-Oh Shim , Tay Jin Chua , Tian Xiang Cai Planning & Operations Management Group, Singapore Institute of Manufacturing Technology, 2 Fusionopolis Way, #08-04, Innovis, Singapore 138634, Singapore Department of Business Administration, Hanbat National University, 125 Dongseo-daero, Yuseong-gu, Daejeon 305719, Republic of Korea ARTICLE I NFO ABSTRACT Keywords: This study deals with a multi-level job scheduling problem in a single machine under processing time un- Scheduling certainty. For the objectives of minimizing the total weighted tardiness of orders and the schedule deviation of Robustness the realized schedule from the baseline schedule, two surrogate measures for each of the two objectives are Single machine proposed to cope with the processing time uncertainty in the baseline scheduling phase. For the suggested Multi-level product structure surrogate measures, several optimal solution properties are developed to reduce the size of the solution space. Particle swarm optimization Then, by using the solution properties a heuristic algorithm with two different order prioritization rules and a metaheuristic algorithm based on the discrete particle swarm optimization are developed for the order http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Computers & Industrial Engineering Elsevier

Multi-level job scheduling under processing time uncertainty

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0360-8352
eISSN
1879-0550
D.O.I.
10.1016/j.cie.2018.02.003
Publisher site
See Article on Publisher Site

Abstract

Computers & Industrial Engineering 120 (2018) 480–487 Contents lists available at ScienceDirect Computers & Industrial Engineering journal homepage: www.elsevier.com/locate/caie a b, a a Byung Jun Joo , Sang-Oh Shim , Tay Jin Chua , Tian Xiang Cai Planning & Operations Management Group, Singapore Institute of Manufacturing Technology, 2 Fusionopolis Way, #08-04, Innovis, Singapore 138634, Singapore Department of Business Administration, Hanbat National University, 125 Dongseo-daero, Yuseong-gu, Daejeon 305719, Republic of Korea ARTICLE I NFO ABSTRACT Keywords: This study deals with a multi-level job scheduling problem in a single machine under processing time un- Scheduling certainty. For the objectives of minimizing the total weighted tardiness of orders and the schedule deviation of Robustness the realized schedule from the baseline schedule, two surrogate measures for each of the two objectives are Single machine proposed to cope with the processing time uncertainty in the baseline scheduling phase. For the suggested Multi-level product structure surrogate measures, several optimal solution properties are developed to reduce the size of the solution space. Particle swarm optimization Then, by using the solution properties a heuristic algorithm with two different order prioritization rules and a metaheuristic algorithm based on the discrete particle swarm optimization are developed for the order

Journal

Computers & Industrial EngineeringElsevier

Published: Jun 1, 2018

References

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