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Smart and Agile Manufacturing Framework, A Case Study for Automotive Industry

Author

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  • Gullelala Jadoon

    (Department of Information Technology, The University of Haripur, Haripur 22620, Pakistan)

  • Ikram Ud Din

    (Department of Information Technology, The University of Haripur, Haripur 22620, Pakistan)

  • Ahmad Almogren

    (Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia)

  • Hisham Almajed

    (Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia)

Abstract

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.

Suggested Citation

  • Gullelala Jadoon & Ikram Ud Din & Ahmad Almogren & Hisham Almajed, 2020. "Smart and Agile Manufacturing Framework, A Case Study for Automotive Industry," Energies, MDPI, vol. 13(21), pages 1-13, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5766-:d:439557
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    References listed on IDEAS

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    1. Angappa Gunasekaran & Yahaya Y. Yusuf & Ezekiel O. Adeleye & Thanos Papadopoulos & Dharma Kovvuri & Dan’Asabe G. Geyi, 2019. "Agile manufacturing: an evolutionary review of practices," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 5154-5174, August.
    2. Angappa Gunasekaran & Yahaya Y. Yusuf & Ezekiel O. Adeleye & Thanos Papadopoulos, 2018. "Agile manufacturing practices: the role of big data and business analytics with multiple case studies," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 385-397, January.
    3. Elkins, Debra A. & Huang, Ningjian & Alden, Jeffrey M., 2004. "Agile manufacturing systems in the automotive industry," International Journal of Production Economics, Elsevier, vol. 91(3), pages 201-214, October.
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    Cited by:

    1. Giacosa, Elisa & Culasso, Francesca & Crocco, Edoardo, 2022. "Customer agility in the modern automotive sector: how lead management shapes agile digital companies," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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