Integrated DEMATEL-ML approach for implementing lean supply chain in manufacturing sector

Swayam Sampurna Panigrahi, Rajesh Katiyar and Debasish Mishra

Journal of Advances in Management Research, 2024, vol. 21, issue 3, 449-477

Abstract: Purpose - The manufacturing sector is witnessing the need to continuously improve overall performance by eliminating inefficiencies in the supply chain. The adoption of lean concepts to address wasteful or non-value-adding activities in the supply chain is crucial. This article determines key factors of lean supply chain management (LSCM) for continuous improvement in the manufacturing sector. Design/methodology/approach - The methodology comprises three steps. The first step identifies critical factors of LSCM in manufacturing from prior research and a series of expert consultations. Critical factors are identified and validated that industries can leverage to attain their lean goals. The second step uses the decision-making and trial evaluation laboratory (DEMATEL) method to determine the causal relationship among the factors. DEMATEL analysis categorizes factors into cause and effect, which will assist industry personnel in decision-making. The third step involves further data analysis to visualize the importance of the most critical factors. It develops a machine learning (ML) model in the form of a decision tree that helps in assessing the factors into cause or effect groups via a threshold value of expert ratings. Findings - IT tools, JIT manufacturing and material handling and logistics form the most critical factors for LSCM implementation. Originality/value - The analysis from DEMATEL and ML together will be beneficial for manufacturing practitioners to improve the supply chain performance based on the identified factors and their criticality towards LSCM implementation.

Keywords: Lean supply chain management; Manufacturing; DEMATEL; Machine learning; Decision tree (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
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:eme:jamrpp:jamr-08-2023-0231

DOI: 10.1108/JAMR-08-2023-0231

Access Statistics for this article

Journal of Advances in Management Research is currently edited by Prof Ravi Shankar and Prof Surendra Yadav

More articles in Journal of Advances in Management Research from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().