Supply Chain Revenue Management Considering Components' Quality and Reliability

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dc.contributor.authorZhu, Chengbinen
dc.contributor.committeechairChan, Lap Mui Annen
dc.contributor.committeememberTaaffe, Michael R.en
dc.contributor.committeememberSarin, Subhash C.en
dc.contributor.committeememberBish, Ebru K.en
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.date.accessioned2014-03-14T20:15:11Zen
dc.date.adate2008-09-08en
dc.date.available2014-03-14T20:15:11Zen
dc.date.issued2008-07-31en
dc.date.rdate2008-09-08en
dc.date.sdate2008-08-13en
dc.description.abstractThe reliability and quality of suppliers' components are inevitably two factors that impact the performance of the supply chain. Stochastic reliability affects the final production quantity and hence makes it more difficult to predict the manufacturer's best ordering quantity as opposed to the simpler traditional news vendor model. In addition, the quality of suppliers' products directly influence the potential demand in the market. Hence every firm in the supply chain system faces the needs to invest time, money and effort to improve the product quality even though it may bring a higher production and investment cost. Thus our dissertation is divided into two parts. In the first part, we build a model for a two echelon supply chain system in which a single manufacturer sells his product to a market with stochastic demand. A group of suppliers provide essential components for the manufacturer. They may be: 1) homogeneous component suppliers, 2) complementary component suppliers or 3) divided into subgroups, suppliers in the same subgroup provide the same component while the components from different subgroups are assembled in the final product. The fraction of effective component ordered from each supplier is a random variable. We first analyze the manufacturer's optimal ordering quantity decision. We identify several important properties of the optimal decision. Then based on those properties, we devise optimal solution procedures and heuristic methods for the above three systems. Finally, in the case of Bernoulli reliability, we investigate the suppliers' price competition by non-cooperative game theory. In the second part, we model a two echelon assembly system which faces deterministic demand affected by the market price and quality of the product. Therefore, the decisions of the firms are divided into two stages: in the first stage, they decide on how much effort to invest in the quality of the components or the final product to stimulate the market. They may make decisions simultaneously or sequentially. Then after the efforts are invested, in the second stage, the component suppliers first decide on their components' wholesale price and then the manufacture decides on the market price given the wholesale price. We identify the existence of Nash equilibrium in each stage through potential functions. Moreover, in the first stage decision, we find that the competition with a leader can always benefit the whole system compared with simultaneous competition.en
dc.description.degreePh. D.en
dc.identifier.otheretd-08132008-214111en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-08132008-214111/en
dc.identifier.urihttp://hdl.handle.net/10919/28644en
dc.publisherVirginia Techen
dc.relation.haspartdissertation.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectStochastic Orderingen
dc.subjectPotential Functionen
dc.subjectStackelburg Gameen
dc.subjectSupermodularen
dc.subjectSupply Chainen
dc.subjectGame Theoryen
dc.subjectReliabilityen
dc.subjectEffort Investmenten
dc.titleSupply Chain Revenue Management Considering Components' Quality and Reliabilityen
dc.typeDissertationen
thesis.degree.disciplineIndustrial and Systems Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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