{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/146661"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/146661","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Developing a Decision-Making Framework for Carbon: Incorporating Carbon into Optimized Business Objectives","abstract":"Carbon emission reductions have been at the center of decision-making for companies across industries, particularly in automotive. As electric vehicles are introduced to the market, there is a large potential for reducing emissions associated with transportation. However, the process to build and use these vehicles is itself carbon intensive. This thesis explores mechanisms to enable effective decision-making to meet carbon reduction goals. Carbon accounting is a new concept for most original equipment manufacturers, and they lack a framework for weighing the importance of carbon alongside competing business objectives. Additionally, most mechanisms used in other industries require a high level of data availability and knowledge management that may not exist in a dynamic, fast-growing company launching its first products. In this thesis, we test carbon decision-making mechanisms in a high-growth business environment. A framework is developed for carbon decision-making, and the use of a carbon price is tested for specific business use cases by adding this cost to the objective function of a cost-optimized battery storage system. Using the results from these use cases, recommendations are made for applying carbon pricing to future decisions as knowledge management infrastructure evolves. This work provides a model for decision-making in a high-growth environment and creates clear conditions under which carbon pricing can effectively impact decisions.","abstract_html":"Carbon emission reductions have been at the center of decision-making for companies across industries, particularly in automotive. As electric vehicles are introduced to the market, there is a large potential for reducing emissions associated with transportation. However, the process to build and use these vehicles is itself carbon intensive. This thesis explores mechanisms to enable effective decision-making to meet carbon reduction goals. Carbon accounting is a new concept for most original equipment manufacturers, and they lack a framework for weighing the importance of carbon alongside competing business objectives. Additionally, most mechanisms used in other industries require a high level of data availability and knowledge management that may not exist in a dynamic, fast-growing company launching its first products. In this thesis, we test carbon decision-making mechanisms in a high-growth business environment. A framework is developed for carbon decision-making, and the use of a carbon price is tested for specific business use cases by adding this cost to the objective function of a cost-optimized battery storage system. Using the results from these use cases, recommendations are made for applying carbon pricing to future decisions as knowledge management infrastructure evolves. This work provides a model for decision-making in a high-growth environment and creates clear conditions under which carbon pricing can effectively impact decisions.","abstract_has_math":false,"creators":["Wyler, Paige"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Operations Research Center","school":null,"contributors":[],"advisors":["Graves, Stephen C.","Zheng, Y. 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A framework is developed for carbon decision-making, and the use of a carbon price is tested for specific business use cases by adding this cost to the objective function of a cost-optimized battery storage system. Using the results from these use cases, recommendations are made for applying carbon pricing to future decisions as knowledge management infrastructure evolves. This work provides a model for decision-making in a high-growth environment and creates clear conditions under which carbon pricing can effectively impact decisions."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M.","M.B.A."]},{"key":"dc:title","label":"Title","values":["Developing a Decision-Making Framework for Carbon: Incorporating Carbon into Optimized Business Objectives"]}]}],"canonical_facts":{"dc:contributor.advisor":["Graves, Stephen C.","Zheng, Y. Karen"],"dc:contributor.department":["Massachusetts Institute of Technology. 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Additionally, most mechanisms used in other industries require a high level of data availability and knowledge management that may not exist in a dynamic, fast-growing company launching its first products. In this thesis, we test carbon decision-making mechanisms in a high-growth business environment. A framework is developed for carbon decision-making, and the use of a carbon price is tested for specific business use cases by adding this cost to the objective function of a cost-optimized battery storage system. Using the results from these use cases, recommendations are made for applying carbon pricing to future decisions as knowledge management infrastructure evolves. 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