Integrated supply chain models and analysis

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dc.contributorSox, Charles R.
dc.contributorMittenthal, John
dc.contributorMelnykov, Volodymyr
dc.contributorRichey, Robert Glenn
dc.contributor.advisorKeskin, Burcu Baris
dc.contributor.authorZhi, Jianing
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2017-04-26T14:27:05Z
dc.date.available2017-04-26T14:27:05Z
dc.date.issued2016
dc.descriptionElectronic Thesis or Dissertationen_US
dc.description.abstractThis dissertation reports on three integrated supply chain problems that incorporate several key components of modern supply chains, including location, transportation, inventory, and customer selection. The first part of the dissertation investigates a multi-product, three-stage distribution system with transshipment and direct shipping from supply centers to customers. The objective is to determine the locations of a fixed number of capacitated warehouses to minimize the total transportation and fixed facility costs in the supply chain network. The second part of the dissertation focuses on the integrated location-inventory problem in a multi-retailer newsvendor setting with both decentralized and centralized decision making. The third part of the dissertation explores the coordination between operations management and marketing through an integration of marketing strategies and the inventory decisions to maximize the total expected profit of the company. The contribution of this dissertation is four-fold: First, we define two new problems with respect to integrated decision making in supply chain management: one combines inventory and location decisions based on two designs of supply chain network, and the other one studies the interface of operations management and marketing on top of a selective newsvendor problem with quantity dependent lead time. For both problems, we offer mathematical models and effective solution approaches. Second, we develop two meta-heuristic solution approaches for a multi-product production/distribution system design (PDSD) problem, which has been studied in literature and solved with Scatter search and Tabu search. We propose to solve the problem with two meta-heuristic procedures, simulated annealing (SA) and greedy randomized adaptive search procedure (GRASP), which demonstrate better solution quality and time performance compared to Scatter Search. Third, we establish a practical connection between operations and marketing in the selective newsvendor problem. This effort demonstrates that a joint decision-making process is more profitable, and opens up more cooperation opportunities between the two disciplines. Lastly, the proposed mathematical models, solution approaches, as well as managerial insights for either new problems or existing problems will potentially shed light on the research of problem variants and the development of new techniques beyond those considered in this dissertation.en_US
dc.format.extent125 p.
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.otheru0015_0000001_0002447
dc.identifier.otherZhi_alatus_0004D_12819
dc.identifier.urihttp://ir.ua.edu/handle/123456789/3122
dc.languageEnglish
dc.language.isoen_US
dc.publisherUniversity of Alabama Libraries
dc.relation.hasversionborn digital
dc.relation.ispartofThe University of Alabama Electronic Theses and Dissertations
dc.relation.ispartofThe University of Alabama Libraries Digital Collections
dc.rightsAll rights reserved by the author unless otherwise indicated.en_US
dc.subjectOperations research
dc.titleIntegrated supply chain models and analysisen_US
dc.typethesis
dc.typetext
etdms.degree.departmentUniversity of Alabama. Department of Information Systems, Statistics, and Management Science
etdms.degree.disciplineOperations Management
etdms.degree.grantorThe University of Alabama
etdms.degree.leveldoctoral
etdms.degree.namePh.D.
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