LAPSE:2023.1606v1
Published Article

LAPSE:2023.1606v1
Modeling and Optimization of Assembly Line Balancing Type 2 and E (SLBP-2E) for a Reconfigurable Manufacturing System
February 21, 2023
Abstract
This study undertakes the line balancing problem while allocating reconfigurable machines to different workstations. A multi-objective model is used to analyze the position of workstations, assignment of configurations to workstations, and operation scheduling in a reconfigurable manufacturing environment. A model is presented that comprises the objectives of the Total Time (TT), the Line Efficiency Index (LEI), and the Customer Satisfaction Index (CSI). The objective is to minimize the completion time and maximize the efficiency of a production line. The proposed model combines the Simple Line Balancing Problems Type 2 and Type E in the form of SLBP-2E. The presented problems are addressed by using a heuristic solution approach due to non-polynomial hard formulation. The heuristic approach is designed to assess different solutions based on no repositioning, separate repositioning of workstations and configuration, and simultaneous repositioning of workstations and configurations. A detailed assessment is presented regarding the efficiency as well as the effectiveness of proposed approaches. Finally, conclusions and future research avenues are outlined.
This study undertakes the line balancing problem while allocating reconfigurable machines to different workstations. A multi-objective model is used to analyze the position of workstations, assignment of configurations to workstations, and operation scheduling in a reconfigurable manufacturing environment. A model is presented that comprises the objectives of the Total Time (TT), the Line Efficiency Index (LEI), and the Customer Satisfaction Index (CSI). The objective is to minimize the completion time and maximize the efficiency of a production line. The proposed model combines the Simple Line Balancing Problems Type 2 and Type E in the form of SLBP-2E. The presented problems are addressed by using a heuristic solution approach due to non-polynomial hard formulation. The heuristic approach is designed to assess different solutions based on no repositioning, separate repositioning of workstations and configuration, and simultaneous repositioning of workstations and configurations. A detailed assessment is presented regarding the efficiency as well as the effectiveness of proposed approaches. Finally, conclusions and future research avenues are outlined.
Record ID
Keywords
heuristic, line balancing, multi-objective, Optimization, reconfigurable manufacturing system, Scheduling
Subject
Suggested Citation
Khan AS, Khan R, Saleem W, Salah B, Alkhatib S. Modeling and Optimization of Assembly Line Balancing Type 2 and E (SLBP-2E) for a Reconfigurable Manufacturing System. (2023). LAPSE:2023.1606v1
Author Affiliations
Khan AS: Department of Operations and Supply Chain, NUST Business School (NBS), National University of Sciences and Technology (NUST), H-12, Islamabad 44100, Pakistan
Khan R: Engineering Management Program, Institute of Manufacturing, University of Engineering and Applied Sciences, Swat 19060, Pakistan
Saleem W: Department of Mechanical and Manufacturing Engineering, Institute of Technology, F91 YW50 Sligo, Ireland [ORCID]
Salah B: Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia [ORCID]
Alkhatib S: Engineering Mathematics and Physics Department, Faculty of Engineering and Technology, Future University in Egypt, New Cairo 11835, Egypt [ORCID]
Khan R: Engineering Management Program, Institute of Manufacturing, University of Engineering and Applied Sciences, Swat 19060, Pakistan
Saleem W: Department of Mechanical and Manufacturing Engineering, Institute of Technology, F91 YW50 Sligo, Ireland [ORCID]
Salah B: Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia [ORCID]
Alkhatib S: Engineering Mathematics and Physics Department, Faculty of Engineering and Technology, Future University in Egypt, New Cairo 11835, Egypt [ORCID]
Journal Name
Processes
Volume
10
Issue
8
First Page
1582
Year
2022
Publication Date
2022-08-12
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr10081582, Publication Type: Journal Article
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LAPSE:2023.1606v1
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https://doi.org/10.3390/pr10081582
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Feb 21, 2023
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