Abstract
Today the role of industry 4.0 plays a very important role in enhancing any supply chain network, as the Industry 4.0 supply chain uses advanced analytics and Big Data for information and visibility of product. Latest data information is available to support real-time decision-making and bring visibility to the entire supply chain, both within and outside the organizations. The main focus of the paper is to identify various Lean supply chain management enablers (LSCMEs) in automobile industry sector with the help of literature review and experts opinion. Thereafter with the help of (AHP) Analytical Hierarchy Process to find the rankings of the enablers by calculating their weightage. This paper has identified 28 key LSCMEs and developed an integrated model, which is very helpful to identify and classify the important enablers as per their ranking obtained and will help understanding and exploring the direct and indirect effects of each enabler on the LSCM implementation.
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Sharma, H., Sohani, N. (2021). Structural Modeling of the Lean Supply Chain Enablers. In: Musleh Al-Sartawi, A.M., Razzaque, A., Kamal, M.M. (eds) Artificial Intelligence Systems and the Internet of Things in the Digital Era. EAMMIS 2021. Lecture Notes in Networks and Systems, vol 239. Springer, Cham. https://doi.org/10.1007/978-3-030-77246-8_17
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