LAPSE:2023.27487
Published Article
LAPSE:2023.27487
Smart and Agile Manufacturing Framework, A Case Study for Automotive Industry
April 4, 2023
Smartness and agility are two quality measures that are pragmatic to achieve a flexible, maintainable, and adaptable system in any business. The automotive industry also requires an enhanced performance matrix and refinement in the development strategies for manufacturing. The current development models used in automotive manufacturing are not optimal enough; thus, the overall expenditure is not properly managed. Therefore, it is essential to come up with flexible, agile techniques incorporating traceability methods. It overcomes the traditional manufacturing approaches that are usually inflexible, costly, and lack timely customer feedback. The article focuses on significant Requirements Management (RM) activities, including traceability mechanism, smart manufacturing process, and performance evaluation of the proposed methods in the automotive domain. We propose a manufacturing framework that follows smart agile principles along with proper traceability management. Our proposed approach overcomes the complexities generated by traditional manufacturing processes in automotive industries. It gives an insight into the future manufacturing processes in the automotive industries.
Keywords
agile manufacturing, automotive industry, smart requirements management, traceability
Subject
Suggested Citation
Jadoon G, Ud Din I, Almogren A, Almajed H. Smart and Agile Manufacturing Framework, A Case Study for Automotive Industry. (2023). LAPSE:2023.27487
Author Affiliations
Jadoon G: Department of Information Technology, The University of Haripur, Haripur 22620, Pakistan [ORCID]
Ud Din I: Department of Information Technology, The University of Haripur, Haripur 22620, Pakistan [ORCID]
Almogren A: Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia [ORCID]
Almajed H: Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia [ORCID]
Journal Name
Energies
Volume
13
Issue
21
Article Number
E5766
Year
2020
Publication Date
2020-11-03
Published Version
ISSN
1996-1073
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Original Submission
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PII: en13215766, Publication Type: Journal Article
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LAPSE:2023.27487
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doi:10.3390/en13215766
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Apr 4, 2023
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CC BY 4.0
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