Title: A fuzzy ANP-based approach for selection of knowledge management strategies to build resilient supply chain: an empirical case study

Authors: Sachin K. Patil; Ravi Kant

Addresses: Department of Mechanical Engineering, Rajarambapu Institute of Technology Rajaramnagar, Islampur, Dist. Sangli, Maharashtra 415414, India ' Department of Mechanical Engineering, S.V. National Institute of Technology, Surat 395007, India

Abstract: The globalisation of business and the pressure for cost reduction have in turn created a supply chain (SC) risks. SC risks are increasing in number and frequency. Therefore, SCs must be resilient to overcome their vulnerabilities, responding effectively to the negative effects of disturbances. Knowledge management (KM) strategies are high-level plans that focus on providing the organisation with the knowledge and capabilities required to build resilient SC. An objective of this paper is to select the best KM strategies to build resilient SC. This study proposes a fuzzy analytical network process (ANP) method for selection of best KM strategies to build resilient SC. An empirical case study analysis of an Indian hydraulic valve manufacturing organisation is conducted to illustrate the use of the proposed fuzzy ANP method. The findings suggest that dynamic KM strategies are best to build resilient SC.

Keywords: supply chain resilience; knowledge management; strategy selection; fuzzy ANP; FANP; analytical network process; supply chain management; SCM; resilient supply chains; India; hydraulic valve manufacturing.

DOI: 10.1504/IJISM.2016.077074

International Journal of Integrated Supply Management, 2016 Vol.10 No.2, pp.173 - 205

Received: 21 Jan 2016
Accepted: 25 Apr 2016
Published online: 20 Jun 2016 *

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