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dc.contributor.supervisor Appadoo, Srimantoorao. S. (Supply Chain Management) en_US
dc.contributor.author Kim, Heather Hyein
dc.date.accessioned 2015-09-17T14:43:38Z
dc.date.available 2015-09-17T14:43:38Z
dc.date.issued 2015
dc.identifier.uri http://hdl.handle.net/1993/30820
dc.description.abstract Economic, social, and environmental uncertainty plays a crucial role in the implementation of supply chain management. Herein, the present study establishes sustainable supply chain management indices (SSCMI) including Logistical Performance Index (LPI) and Worldwide Governance Index (WGI) along with the sustainability indices adopted from Bilbao-Terol (2014): Adjusted Net Savings (ANS), Ecological Footprints (EF), Environmental Performance Index (EPI), and Human Development Index (HDI). All data used in the present work are publically available from reliable sources such as the World Bank, the Global Footprint Network, and the Yale University. Three sets of data are compared; Triple-Bottom Line (TBL), TBL+LPI, and SSCMI. TBL includes four indices adopted from Bilbao-Terol (2014), TBL+LPI adds LPI to TBL, and SSCMI adds WGI to TBL+LPI. Equal weights, Analytic Hierarchy Process (AHP), and the Technique for Order Preferences by Similarity to Ideal Solution (TOPSIS) are applied to three different datasets and compare sustainability rankings. The results are mapped into a world map for geographical visualization. Sustainability reports of Heineken Company from 22 countries are collected and empirical data are extracted and examined. The comparison of country and company sustainable supply chain management is not analyzed due to a lack of company information. However, in the presence of complete data from company sustainability reports, the analysis used in this thesis is practical and useful to observe relationship between country and company sustainable supply chain management. en_US
dc.rights info:eu-repo/semantics/openAccess
dc.subject Sustainability en_US
dc.subject Sustainable supply chain management indices (SSCMI) en_US
dc.subject Supply chain management en_US
dc.subject Multiple-criteria decision making (MCDM) en_US
dc.subject Analytic Hierarchy Process(AHP) en_US
dc.subject Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) en_US
dc.title Country and company sustainable supply chain management by using multiple-criteria decision making approaches en_US
dc.type info:eu-repo/semantics/masterThesis
dc.degree.discipline Management en_US
dc.contributor.examiningcommittee Bhatt, Suresh (Supply Chain Management) Gajpal, Yuvraj (Supply Chain Management) Mandal, Saumen (Statistics) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note October 2015 en_US


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