Praveen Shrivastava
Associate Professor, Modern Group of Institutions, Modern Campus, Alwasa -452 010, Indore.
Nagendra Sohani
Professor & H.O.D., I.E.T., Devi Ahilya Vishwa Vidyalaya, Khandwa Road, Indore-452 017.
Abstract
The supply chain comprises a series of interconnected processes and the number of echelons and facilities within each echelon contribute to the supply chain's complexity. Even though businesses have changedtheir supply chains to integrated supply-chains, they still require a tool that will display the supply chain's overall performance, and this crucial tool is a supply chain performance measurement system (SCPMS). Measurement of Performance refers to a collection ofmeasures used to manage scheduled tasks and resource allocation to achieve predefinedobjectives. This paper models complicated manufacturing supply chain processes usingfuzzy logic, analyzing the outcomes through a case study. Based on the SCOR framework, a lean Supply Chain model is created, including both lean and non-lean metrics as necessary. The performance ofboth non-Lean and Lean supply chain scenarios has been assessed, After the apposite metrics values are converted into triangularfuzzy numbers (TFNs), overallperformance is measured using the Fuzzy Topsis. Results indicate that the application oflean technologies has a major impact on overall performance enhancements of supplychain
Keywords- Performance metrics, SCOR, TFN, Fuzzy Topsis,performance evaluation.