LAPSE:2023.0822v1
Published Article
LAPSE:2023.0822v1
An Improved Arc Flow Model with Enhanced Bounds for Minimizing the Makespan in Identical Parallel Machine Scheduling
February 21, 2023
Abstract
In this paper, an identical parallel machine problem was considered with the objective of minimizing the makespan. This problem is NP-hard in the strong sense. A mathematical formulation based on an improved arc flow model with enhanced bounds was proposed. A variable neighborhood search algorithm was proposed to obtain an upper bound. Three lower bounds from the literature were utilized in the improved arc flow model to improve the efficiency of the mathematical formulation. In addition, a graph compression technique was proposed to reduce the size of the graph. As a consequence, the improved arc flow model was compared with an arc flow model from the literature. The computational results on benchmark instances showed that the improved arc flow model outperformed the literature arc flow model at finding optimal solutions for 99.97% of the benchmark instances, with the overall percentage of the reduction in time reaching 87%.
Keywords
identical parallel machines, improved arc flow, integer programming, Scheduling, variable neighborhood search
Suggested Citation
Gharbi A, Bamatraf K. An Improved Arc Flow Model with Enhanced Bounds for Minimizing the Makespan in Identical Parallel Machine Scheduling. (2023). LAPSE:2023.0822v1
Author Affiliations
Gharbi A: Industrial Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia [ORCID]
Bamatraf K: Industrial Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia [ORCID]
Journal Name
Processes
Volume
10
Issue
11
First Page
2293
Year
2022
Publication Date
2022-11-04
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr10112293, Publication Type: Journal Article
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LAPSE:2023.0822v1
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https://doi.org/10.3390/pr10112293
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Feb 21, 2023
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Feb 21, 2023
 
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