Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/434442
Title: Supply Chain Resilience A Study on Disruption and Recovery Strategies
Researcher: Narassima M S
Guide(s): Anbuudayasankar S P
Keywords: Engineering
Engineering and Technology
Engineering Mechanical; Supply Chain Management; ; Supply Chain Resilience
University: Amrita Vishwa Vidyapeetham University
Completed Date: 2022
Abstract: Globalization and increasing competition among the organizations have steered them towards being efficient. In the process of optimizing their networks, organizations have minimized redundancies and backups in their Supply Chain (SC) whilst increasing the bottlenecks and weaker links. This makes the SC networks vulnerable to disruptions thereby reducing their performance during disruptions. This mandates the SC networks to be resilient enough to absorb the shocks of disruptions, adapt to the changes, and continue to operate at desired levels. The occurrence of High-Impact Low Frequency (HILF) events from time to time have hatched the concept of Supply Chain Resilience (SCR). As this would be useful for the organizations across various industries, the present study addresses multiple dimensions of resilience such as modelling and validation of the drivers of SCR, assessing the impact of disruptions in terms of losses incurred, analysing the effects of incorporating resilience strategies in organizations, and quantifying multiple aspects of resilience using multiple indices. The research would provide multi-dimensional insights into various aspects and attributes of resilience that could be useful to mitigate risks in the future. Also, the potential bottlenecks and weak attributes of SCR could be strengthened to avoid ripple effects that disrupt the flow of operations. The present research involves successive multiple studies that address resilience from a different perspective. The essence of each of them is outlined successively. newlineThe initial phase of work adopts a mixed-methods approach to build a conceptual model for drivers of SCR and validate it. Initially, 25 drivers were chosen, mapped across the traditional drivers of SC, and associations between them were defined based on the understanding from literature. Two other drivers namely Managerial and External were added considering the uncertainties that are beyond the control of an organization. Further, the associations were revised through a brainstorming..
Pagination: xxx, 341
URI: http://hdl.handle.net/10603/434442
Appears in Departments:Department of Mechanical Engineering (Amrita School of Engineering)

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01_title.pdfAttached File99.17 kBAdobe PDFView/Open
02_preliminary page.pdf531.38 kBAdobe PDFView/Open
03_content.pdf193.87 kBAdobe PDFView/Open
04_abstract.pdf123.76 kBAdobe PDFView/Open
05_chapter 1.pdf540.99 kBAdobe PDFView/Open
06_chapter 2.pdf416.68 kBAdobe PDFView/Open
07_chapter 3.pdf738.64 kBAdobe PDFView/Open
08_chapter 4.pdf4.9 MBAdobe PDFView/Open
09_chapter 5.pdf1.45 MBAdobe PDFView/Open
10_chapter 6.pdf3.55 MBAdobe PDFView/Open
11_chapter 7.pdf2 MBAdobe PDFView/Open
12_chapter 8.pdf158.93 kBAdobe PDFView/Open
13_annexure.pdf3.6 MBAdobe PDFView/Open
80_recommendation.pdf257.66 kBAdobe PDFView/Open
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