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Stochastic and Discrete Green Supply Chain Delivery Models

Brown, Jay R

Abstract Details

2013, PHD, Kent State University, College of Business and Entrepreneurship, Ambassador Crawford / Department of Management and Information Systems.

Green supply chain models and carbon emissions tracking have become increasingly prevalent in the supply chain management literature and in corporate strategies. In this dissertation, carbon emissions are integrated into cost-based freight transportation models that can be used to assist operations and supply chain managers in solving the “last mile problem”. The models presented herein serve to provide the decision maker with choices on which strategy to implement depending on the strength of the management’s desire to reduce carbon emissions. By comparing the optimal solutions that result from using different delivery strategies, this research provides a basis for evaluating an appropriate trade-off between transportation cost and carbon emissions.

This dissertation contributes to academia and the literature in several ways. The discrete supply chain models provide a method for decision makers to analyze and compare the lowest cost delivery option with the lowest carbon footprint option. The stochastic last mile framework that is introduced provides a method for researchers and practitioners to measure the expected carbon footprint and compare probabilistic costs, carbon emissions, delivery mileage, and delivery times in order to make decisions regarding the most appropriate delivery strategy. This framework is then applied to two different problem settings. The first involves optimizing a delivery fleet to produce the lowest total cost with carbon emissions integrated into the total cost equation. The second compares the carbon footprint resulting from last mile delivery (ecommerce retailing involving a central store delivering to end customers) to customer pick up (conventional shopping at a brick-and-mortar retail location); the break-even number of customers for carbon emissions equivalence provides a basis for companies to determine the environmental impact of last mile delivery and to determine the feasibility of last mile delivery based on objectives related to minimizing carbon emissions.

Alfred Guiffrida (Committee Chair)
Butje Patuwo (Committee Member)
Sergey Anokhin (Committee Member)
153 p.

Recommended Citations

Citations

  • Brown, J. R. (2013). Stochastic and Discrete Green Supply Chain Delivery Models [Doctoral dissertation, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1366635130

    APA Style (7th edition)

  • Brown, Jay. Stochastic and Discrete Green Supply Chain Delivery Models. 2013. Kent State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1366635130.

    MLA Style (8th edition)

  • Brown, Jay. "Stochastic and Discrete Green Supply Chain Delivery Models." Doctoral dissertation, Kent State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=kent1366635130

    Chicago Manual of Style (17th edition)