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Green automotive supply chain for an emerging market

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dc.contributor.advisor Charles H. Fine. en_US
dc.contributor.author Fisch, Gene (Gene Joseph) en_US
dc.contributor.author Neo, Tien Song Paul en_US
dc.contributor.other Massachusetts Institute of Technology. Engineering Systems Division. en_US
dc.date.accessioned 2009-04-29T17:11:23Z
dc.date.available 2009-04-29T17:11:23Z
dc.date.copyright 2008 en_US
dc.date.issued 2008 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/45226
dc.description Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2008. en_US
dc.description Includes bibliographical references (leaves 94-97). en_US
dc.description.abstract Green Supply Chain Management (GSCM) within the automotive industry is largely based on combining lean manufacturing with mandated supplier adoption of ISO 14001-compliant Environmental Management Systems (EMS). This approach evolved from automotive manufacturers seeking to expediently expand green practices within existing lean supply chains. However, a new automotive enterprise, without the legacy issues of an existing supply chain, has the opportunity to customize its supply chain from scratch, to comprehensively achieve both financial and green objectives. This thesis investigated a more holistic approach to creating a financially-viable green automotive supply chain for the MIT Vehicle Design Summit (VDS) - a start-up enterprise planning to enter the Indian emerging market with a new type of eco-friendly automobile. First, a hypothetical VDS supply chain was postulated by analyzing the contextual challenges of the Indian emerging economy, so as to optimize the location, supplier selection and manufacturing models within its business context. To ensure that the capital investments needed to fulfill the supply chain's green objectives do not compromise its primary purpose of value creation, a Triple Bottom Line technique called Environmental Cost Accounting was used as a managerial decision tool, which demonstrated the financial viability of GSCM for VDS. Next, green solutions for each supply chain function were identified for integration into the hypothetical supply chain. It was found that many important green solutions for an automotive supply chain like supplier selection, concurrent engineering, cascading of lean production best practices to the extended supply chain, fuel-efficient transport practices and green infrastructure design, have already been developed by various governmental and non-governmental agencies. en_US
dc.description.abstract (cont.) Also, product recovery through End-of-Life Vehicle (ELV) processing was identified as a vital green supply chain function required for closing the loop between sales and sourcing. The key issue was integrating these disparate solutions into a holistic environmental management framework for VDS to implement and sustain. This was accomplished using an IS014001-based EMS as the master plan. The developed EMS Manual is a pioneering document that leverages chain-wide participation in existing green initiatives like the Green Suppliers Network, SmartWay Transport Partnership and LEED Green Building Rating, to realize a green supply chain by ensuring continuous monitoring and improvement of the implemented initiatives. en_US
dc.description.statementofresponsibility by Gene Fisch, Jr. [and] Tien Song Paul Neo. en_US
dc.format.extent 118 leaves en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights 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. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582 en_US
dc.subject Engineering Systems Division. en_US
dc.title Green automotive supply chain for an emerging market en_US
dc.type Thesis en_US
dc.description.degree M.Eng.in Logistics en_US
dc.contributor.department Massachusetts Institute of Technology. Engineering Systems Division. en_US
dc.identifier.oclc 304398079 en_US


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