EVALUATING SUPPLY CHAIN RESILIENCY STRATEGIES IN THE INDIAN PHARMACEUTICAL SECTOR: A FUZZY ANALYTIC HIERARCHY PROCESS (F-AHP) APPROACH
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Published
Jul 31, 2019
Anirban Ganguly
Chitresh Kumar
Abstract
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.
How to Cite
Ganguly, A., & Kumar, C. (2019). EVALUATING SUPPLY CHAIN RESILIENCY STRATEGIES IN THE INDIAN PHARMACEUTICAL SECTOR: A FUZZY ANALYTIC HIERARCHY PROCESS (F-AHP) APPROACH. International Journal of the Analytic Hierarchy Process, 11(2), 153–180. https://doi.org/10.13033/ijahp.v11i2.620
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Keywords
Multi-criteria decision-making (MCDM), Supply chain resilience, Resiliency strategies, Fuzzy Analytic Hierarchy Process (AHP), Analytic Hierarchy Process (AHP), Indian pharmaceutical sector, multi-criteria decision-making (MCDM), supply chain resilience, resiliency strategies, Fuzzy Analytic Hierarchy Process (F-AHP), Analytic Hierarchy Process (AHP), Indian pharmaceutical sector
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Chowdhury, M. M. H., & Quaddus, M. A. (2015). A multiple objective optimization based QFD approach for efficient resilient strategies to mitigate supply chain vulnerabilities: The case of garment industry of Bangladesh, Omega, 57, 5–21.
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Clapham Jr., W. B. (1971), Natural Ecosystems, Macmillan, New York, NY.
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Ganguly, A., & Merino, D. N. (2015). An Integrated AHP-QFD Approach for Evaluating Competing Technological Processes. International Journal of the Analytic Hierarchy Process, 7(3), 539-559.
Ganguly, A., Chatterjee, D., & Rao, H. V. (2017). Evaluating the risks associated with supply chain agility of an enterprise. International Journal of Business Analytics (IJBAN), 4(3), 15-34.
Ganguly, A., Chatterjee, D., & Talukdar, A. (2018). Knowledge Sharing Barriers Affecting Pharmaceutical Supply Chain Performance. In Global Supply Chains in the Pharmaceutical Industry, Edited by Agnieszka Szmelter, IGI Global (Accepted, in press)
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Ghasemzadeh, F., Pishdar, M., & Antuchevi?ien?, J. (2017). Prioritization of petroleum supply chains’ disruption management strategies using combined framework of BSC approach, fuzzy AHP and fuzzy Choquet integral operator. Journal of Business Economics and Management, 18(5), 897–919.
Glickman, T. S., & White, S. C. (2006). Security, visibility and resilience: the keys to mitigating supply chain vulnerabilities. International Journal of Logistics Systems and Management, 2(2), 107-119.
Grace, C. (2004). The effect of changing intellectual property on pharmaceutical industry prospects in India and China. DFID Health Systems Resource Centre, 1-68.
Gray, B. (1991). Collaborating: Finding Common Ground for Multiparty Problems, 1st Edition, Jossey-Bass, San Francisco, USA
Gunasekaran, A. (1999). Agile manufacturing: A framework for research and development International Journal of Production Economics, 62(1-2), 87-105.
Haimes, Y. Y. (2006). On the definition of vulnerabilities in measuring risks to infrastructures. Risk Analysis: An International Journal, 26(2), 293-296.
Hamel, G., & Välikangas, L. (2003). The Quest for Resilience. Harvard Business Review, 81(9), 52-65.
Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015). Supply chain risk management: a literature review. International Journal of Production Research, 53(16), 5031–5069.
Holling, C. S. (1973). Resilience and stability of ecological systems. Annual Review of Ecology and Systematics, 4, 1-23.
Hosseini, S. & Khaled, A. A. (2016). A hybrid ensemble and AHP approach for resilient supplier selection. Journal of Intelligent Manufacturing, 1-22, https://doi.org/10.1007/s10845-016-1241-y
Hughes, W. R. (2009). A statistical framework for strategic decision making with AHP: Probability assessment and Bayesian revision. Omega, 37(2), 463-470.
Jüttner, U., & Maklan, S. (2011). Supply chain resilience in the global financial crisis: an empirical study. Supply Chain Management: An International Journal, 16(4), 246-259.
Junior, F. R. L., Osiro, L., & Carpinetti, L. C. R. (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21, 194–209.
Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics Information Management, 16(6), 382–394.
Kahraman, C. (2018). A Brief Literature Review for Fuzzy AHP. International Journal of the Analytic Hierarchy Process, 10(2), 293-297.
Kale, D., & Little, S. (2007). From imitation to innovation: The evolution of R&D capabilities and learning processes in the Indian pharmaceutical industry. Technology Analysis & Strategic Management, 19(5), 89-609.
Kar, A. K., & K. Pani, A. (2014). Exploring the importance of different supplier selection criteria. Management Research Review, 37(1), 89-105.
Kilincci, O., & Onal, S. A. (2011). Fuzzy AHP approach for supplier selection in a washing machine company. Expert Systems with Applications, 38(8), 9656-9664.
Kochan, C. G., & Nowicki, D. R. (2018). Supply chain resilience: a systematic literature review and typological framework. International Journal of Physical Distribution & Logistics Management, 48(8), 842-865
Kong, X Y., & Li, Y X. (2008). Creating the resilient supply chain: The role of knowledge management resources. Paper presented at the 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM'08), 12 - 17 October, Dalian, China.
Kraft, T., Valdés, L., & Zheng, Y. (2018). Supply chain visibility and social responsibility: Investigating consumers’ behaviors and motives. Manufacturing & Service Operations Management, 20(4), 617-636
Leung, L. C., & Cao, D. (2000). On consistency and ranking of alternatives in fuzzy AHP. European Journal of Operational Research, 124(1), 102–113.
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