It is believed that the critical next step from examinations of operations and the environment is the study of sustainability and supply chains (Linton, Klassen, and Jayaraman (2007)). Environmental quality and preservation as well as meeting the stress of emission reductions is rapidly becoming an important issue for public policy (Wilkinson, Hill, and Gollan (2001)). However, Lambertini and Mantovani (2007) note the disregard, unrelated to regulatory requirements, of research practitioners to the potential benefits of appropriate competition policy measures and consumer pressures (Srivastara (2007)). In addition, a firm’s success, notably, in terms of financial and/or environmental practices, has been tied, in part, to the strength of its ability to coordinate and integrate activities along the entire supply chain (Spekman, Kamauff Jr., and Myhr (1998)), and to effectively implement multicriteria decisionmaking tools to aid in their strategic decisions. I present five essays in this dissertation. For each model I utilize the theory of variational inequalities, derive the formulation, present qualitative properties, and provide numerical examples. The first essay develops the multitiered sustainable supply chain network model with multicriteria decision-making. In the second essay I construct a modeling and computational framework that allows for the determination of optimal carbon taxes applied to electric power plants in the context of electric power supply chain (generation/distribution/consumption) networks. The third essay considers electric power supply chain networks and develops a model of tradable pollution permits in the case of multiple pollutants and spatially distinct receptor points. In the fourth essay, I quantify and assess, from a system-optimized sustainable supply chain network perspective, the environmental effects resulting when a horizontal supply chain integration occurs. In the fifth and final essay, I extend the work of Nagurney (2009) to the multiproduct supply chain network domain to quantify the impacts. This dissertation is heavily based on the following papers: Nagurney, Liu, and Woolley (2006), Nagurney, Liu, and Woolley (2007), Woolley, Nagurney, and Stranlund (2009), Nagurney and Woolley (2009) and Nagurney, Woolley, and Qiang (2009).
| Identifer | oai:union.ndltd.org:UMASS/oai:scholarworks.umass.edu:dissertations-5830 |
| Date | 01 January 2009 |
| Creators | Woolley, Trisha D |
| Publisher | ScholarWorks@UMass Amherst |
| Source Sets | University of Massachusetts, Amherst |
| Language | English |
| Detected Language | English |
| Type | text |
| Source | Doctoral Dissertations Available from Proquest |
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