A supply network resiliency assessment framework

Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2015. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 90-91). === Supply chain resiliency is a relatively new field within supply chain management. Many quantit...

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Main Authors: Siu, Jaspar (Jaspar W.), Stephen, Santosh
Other Authors: James B. Rice, Jr.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2015
Subjects:
Online Access:http://hdl.handle.net/1721.1/100086
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-1000862019-05-02T15:40:49Z A supply network resiliency assessment framework Siu, Jaspar (Jaspar W.) Stephen, Santosh James B. Rice, Jr. Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology. Engineering Systems Division. Engineering Systems Division. Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2015. Cataloged from PDF version of thesis. Includes bibliographical references (pages 90-91). Supply chain resiliency is a relatively new field within supply chain management. Many quantitative and qualitative resiliency frameworks are available. However, there is a need for a hybrid framework that provides a more comprehensive resiliency assessment. In this thesis, we attempt to synthesize important features from different assessment frameworks and develop a hybrid resiliency assessment framework that more comprehensively addresses resiliency assessment. Our proposed framework combines quantitative assessment with a qualitative assessment to create a single Balanced Scorecard of Resiliency (BSR). We deployed the quantitative assessment of the BSR framework in a single commodity supply chain of ABC Company, and were able to compute the expected business impact risk of each node. We also aggregated across multiple nodes to assess the expected business impacts of each of the facilities, suppliers and locations of ABC Company's supply chain, and identify the critical entities in the supply chain for mitigation planning. For the critical facilities, suppliers, and locations, we developed response curves of the expected business impact for key parameters to identify the best mitigation options and the extent of investments. Lastly, we used a supply chain visualization tool called Sourcemap to visualize the expected business impact risk in both a map view and supply network view. Our quantitative assessment of resiliency allowed us to gain insights and generate recommendations for improving ABC Company's supply chain resiliency. by Jaspar Siu and Santosh Stephen. M. Eng. in Logistics 2015-12-03T20:52:32Z 2015-12-03T20:52:32Z 2015 2015 Thesis http://hdl.handle.net/1721.1/100086 928947699 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 91 pages application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Engineering Systems Division.
spellingShingle Engineering Systems Division.
Siu, Jaspar (Jaspar W.)
Stephen, Santosh
A supply network resiliency assessment framework
description Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2015. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 90-91). === Supply chain resiliency is a relatively new field within supply chain management. Many quantitative and qualitative resiliency frameworks are available. However, there is a need for a hybrid framework that provides a more comprehensive resiliency assessment. In this thesis, we attempt to synthesize important features from different assessment frameworks and develop a hybrid resiliency assessment framework that more comprehensively addresses resiliency assessment. Our proposed framework combines quantitative assessment with a qualitative assessment to create a single Balanced Scorecard of Resiliency (BSR). We deployed the quantitative assessment of the BSR framework in a single commodity supply chain of ABC Company, and were able to compute the expected business impact risk of each node. We also aggregated across multiple nodes to assess the expected business impacts of each of the facilities, suppliers and locations of ABC Company's supply chain, and identify the critical entities in the supply chain for mitigation planning. For the critical facilities, suppliers, and locations, we developed response curves of the expected business impact for key parameters to identify the best mitigation options and the extent of investments. Lastly, we used a supply chain visualization tool called Sourcemap to visualize the expected business impact risk in both a map view and supply network view. Our quantitative assessment of resiliency allowed us to gain insights and generate recommendations for improving ABC Company's supply chain resiliency. === by Jaspar Siu and Santosh Stephen. === M. Eng. in Logistics
author2 James B. Rice, Jr.
author_facet James B. Rice, Jr.
Siu, Jaspar (Jaspar W.)
Stephen, Santosh
author Siu, Jaspar (Jaspar W.)
Stephen, Santosh
author_sort Siu, Jaspar (Jaspar W.)
title A supply network resiliency assessment framework
title_short A supply network resiliency assessment framework
title_full A supply network resiliency assessment framework
title_fullStr A supply network resiliency assessment framework
title_full_unstemmed A supply network resiliency assessment framework
title_sort supply network resiliency assessment framework
publisher Massachusetts Institute of Technology
publishDate 2015
url http://hdl.handle.net/1721.1/100086
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