Open AccessEVALUATING SUPPLY CHAIN RESILIENCY STRATEGIES IN THE INDIAN PHARMACEUTICAL SECTOR: A FUZZY ANALYTIC HIERARCHY PROCESS (F-AHP) APPROACH
Author(s) -
Anirban Ganguly,
Chitresh Kumar
Publication year - 2019
Publication title -
international journal of the analytic hierarchy process
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.213
H-Index - 3
ISSN - 1936-6744
DOI - 10.13033/ijahp.v11i2.620
Subject(s) - supply chain , analytic hierarchy process , globalization , vulnerability (computing) , supply chain management , business , process management , hierarchy , process (computing) , supply chain risk management , risk analysis (engineering) , computer science , set (abstract data type) , industrial organization , knowledge management , service management , operations research , economics , marketing , engineering , computer security , market economy , programming language , operating system
Over the years, aggressive competition and globalization have resulted in tremendous progress in the development and management of supply chains. There are many high-performing supply chains that have benefitted from globalization. However, globalization of supply chains has also resulted in exposure to increased risks and frequent disturbances at various stages. One way to address these disturbances is to make supply chains resilient in nature. This paper identifies and prioritizes a set of important resiliency strategies for supply chains using the Fuzzy Analytic Hierarchy Process (F-AHP). Responses from 23 experts from the Indian pharmaceutical sector have been analyzed. We found that supply chain agility, visibility, and collaboration were the three most important resiliency strategies that a pharmaceutical organization should follow to address the vulnerability within their supply chain. The findings will serve the supply chain managers and the policymakers in designing resilient supply chains through the better understanding of strategies and formulation of action plans, while also introducing MCDM techniques into resiliency studies.