Enhancing supply chain performance by integrating knowledge management and lean, agile, resilient, and green paradigms

Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Ali Mostafaeipour, Dragan Pamučar and Ttu Le

Journal of Management Analytics, 2024, vol. 11, issue 4, 738-769

Abstract: Due to global market competition, there is an increasing emphasis on utilizing lean, agile, resilient, and green (LARG) paradigms to improve Supply Chain (SC) performance. Furthermore, as technology advances, Knowledge Management (KM) is essential in improving SC performance through information sharing, improving processes, and increasing coordination and collaboration. Thus, this research proposes a novel approach to integrating KM with LARG paradigms to enhance SC performance. Also, the decision framework is presented using Multi-Criteria Decision-Making (MCDM) approaches, including the Grey Step-wise Weight Assessment Ratio Analysis (SWARA-G) and Grey Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS-G) method. The presented approach is implemented in an automobile enterprise to improve SC performance. The findings indicated that building coordination and collaboration to improve efficiency, facilitate operations, and reduce communication and exchange costs was introduced as the most critical strategy in the automotive industry.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/23270012.2024.2408527 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjmaxx:v:11:y:2024:i:4:p:738-769

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjma20

DOI: 10.1080/23270012.2024.2408527

Access Statistics for this article

Journal of Management Analytics is currently edited by Li Xu

More articles in Journal of Management Analytics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().