International Journal of Engineering and Management Research (IJEMR)
  • Year: 2017
  • Volume: 7
  • Issue: 3

Intelligent DSS towards Identifying the Ill and Strong Drivers of Individual Firm by using Fuzzy-in Centre Method

  • Author:
  • Bhuneshwar Kumar Dixena1, Raghavendra Singh Kashyap2
  • Total Page Count: 7
  • Page Number: 765 to 771

1M-Tech Scholar, Department of Mechanical Engineering, Dr. C.V. Raman University, Kota, Bilaspur, (C.G.), India

2Assistant Professor, Department of Mechanical Engineering, Dr. C.V. Raman University, Kota, Bilaspur, (C.G.), India

Online published on 31 October, 2017.

Abstract

In the presented research work, a 2nd second level hierarchical Lean-Resilient supply chain module structure has been constructed, where Fuzzy Performance Index model has been applied to assess the overall performance of crank and shaft vendor firm.

Apart from this, a ‘In centre of Centroid ’method merged with generalized trapezoidal fuzzy set has been applied on module structure for identifying an ill and strong chief drivers under Lean-Resilient (L-R) SC strategies, so that managers could hike the firm's performance up to standard level in case of non wanted performance. An empirical case research of assumed of crank and shaft vendor firm is presented. Proposed an intelligent DSS is active for tracing the L-R supply chain's ill and strong chief drivers.

Keywords

Multi-Criteria Decision Making (MCDM), L-R (Leanness-Resilient) Supply Chain, Performance Measurement (PM)