id ndltd-OhioLink-oai-etd.ohiolink.edu-bgsu1587675401823912
record_format oai_dc
spelling ndltd-OhioLink-oai-etd.ohiolink.edu-bgsu15876754018239122021-08-03T07:14:40Z Supply Chain Operations Planning in a Carbon Cap and Trade Market Mysyk, Jessica Marie Operations Research Industrial Engineering Statistics Green Supply Chain Supply Chain Planning Operations Research Statistics Optimization Linear Optimization Multi-Objective Optimization Statistics Research Freight Transport Logistics Planning When studying relevant research in the emerging field of green supply chain optimization, it is currently difficult to find modeling that provides a realistic, multi-nodal distribution process concerned with large-scale freight manufacturing and transport. Seen even more rarely is a combined objective that is focused on minimizing both cost and environmental impact. This thesis aims to fill that gap, as it follows products sold by a major US retailer from its manufacturing in Southern China to arrival, processing, and distribution in the United States. A multi-objective, linear optimization model is used. Decision variables include manufacturer, transportation method, port selection, distribution center selection, and timing. The paper utilizes published methodology for carbon emissions calculation and carbon market prices, and provides sensitivity analyses to extrapolate findings into real-world solutions. Many global organizations and nations have taken steps aimed at becoming carbon neutral. As the transportation sector makes up nearly one-third of all greenhouse gas emissions, it is important to explore options related to freight that reduce these emissions prior to any government regulations being enforced. The formulated linear program provides a breadth of decisions that contribute to moving products and satisfying demand. These decisions not only include location sourcing and time period selection, but also carbon-focused aspects of freight movement, including vehicle choice. The model formulated in this thesis allows interested corporations to customize inputs and evaluate the model using organization-specific parameters, enabling a holistic view of current operations from both an economic and environmentally conscious angle. 2020-05-06 English text Bowling Green State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1587675401823912 http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1587675401823912 restricted--full text unavailable until 2025-05-15 This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Operations Research
Industrial Engineering
Statistics
Green Supply Chain
Supply Chain Planning
Operations Research
Statistics
Optimization
Linear Optimization
Multi-Objective Optimization
Statistics Research
Freight Transport
Logistics Planning
spellingShingle Operations Research
Industrial Engineering
Statistics
Green Supply Chain
Supply Chain Planning
Operations Research
Statistics
Optimization
Linear Optimization
Multi-Objective Optimization
Statistics Research
Freight Transport
Logistics Planning
Mysyk, Jessica Marie
Supply Chain Operations Planning in a Carbon Cap and Trade Market
author Mysyk, Jessica Marie
author_facet Mysyk, Jessica Marie
author_sort Mysyk, Jessica Marie
title Supply Chain Operations Planning in a Carbon Cap and Trade Market
title_short Supply Chain Operations Planning in a Carbon Cap and Trade Market
title_full Supply Chain Operations Planning in a Carbon Cap and Trade Market
title_fullStr Supply Chain Operations Planning in a Carbon Cap and Trade Market
title_full_unstemmed Supply Chain Operations Planning in a Carbon Cap and Trade Market
title_sort supply chain operations planning in a carbon cap and trade market
publisher Bowling Green State University / OhioLINK
publishDate 2020
url http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1587675401823912
work_keys_str_mv AT mysykjessicamarie supplychainoperationsplanninginacarboncapandtrademarket
_version_ 1719457092084957184