D.Phil. / This is a workbook to record the processes, responsible departments; current practices; business rules; inputs and outputs; and disconnects with regards to a “staple yourself to an order” exercise. This is done to establish problem areas within the supply chain and to provide guidance on improving the supply chain. This workbook should be used in conjunction with GISDataSCOR v1.0. and the results of the disconnect analysis. The “staple yourself to an order” exercise should start with SOURCE, MAKE, DELIVER, then followed by PLAN and RETURN.

Zhu Jing. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves 54-58). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Literature Review --- p.6 / Chapter 2.1 --- Supply Chain Contracts --- p.6 / Chapter 2.2 --- Risk Aversion --- p.10 / Chapter 3 --- Rebate Scheme in a Risk-Neutral Supply Chain --- p.12 / Chapter 3.1 --- Market Demand is Perfectly Correlated with Temperature --- p.13 / Chapter 3.1.1 --- The Integrated Supply Chain: the Benchmark --- p.13 / Chapter 3.1.2 --- The Decentralized Supply Chain --- p.14 / Chapter 3.1.3 --- Supply Chain Coordination with a Rebate --- p.15 / Chapter 3.2 --- Market Demand is Partially Correlated with Temperature --- p.18 / Chapter 3.2.1 --- Additive Random Variable --- p.18 / Chapter 3.2.2 --- Multiplicative Random Variable --- p.21 / Chapter 3.3 --- Discussion and Conclusion --- p.22 / Chapter 4 --- Rebate Scheme in a Risk-Averse Supply Chain --- p.24 / Chapter 4.1 --- Case of Perfectly Correlated Demand --- p.26 / Chapter 4.1.1 --- Without a Shortage Cost --- p.26 / Chapter 4.1.2 --- Shortage Cost s > 0 --- p.32 / Chapter 4.2 --- Case of Demand with an Additive Random Variable --- p.33 / Chapter 4.3 --- Discussion and Conclusion --- p.37 / Chapter 5 --- Numerical Analysis --- p.38 / Chapter 5.1 --- Risk-Neutral Supply Chain --- p.39 / Chapter 5.1.1 --- Perfectly Correlated Demand Model --- p.39 / Chapter 5.1.2 --- Partially Correlated Demand Model --- p.39 / Chapter 5.2 --- Risk-Averse Supply Chain --- p.45 / Chapter 5.3 --- Brief Summary --- p.47 / Chapter 6 --- Conclusion --- p.49 / Chapter A --- Matlab Source Code --- p.51 / Bibliography --- p.54

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Key words: supply chain management, capacity planning, spot market, long-term contract, contract theory / The long-term supply commitment is made deal through strategic interactions between the players of the supply chain. Game theoretical analysis is conducted to study the bargaining behaviors of the players. Optimal contract design can be obtained in various bargaining power scenarios: Contract Manufacturer Stackelberg, OEM Stackelberg, and Vertical Nash game. We also extend the analysis for single Contract Manufacturer and single contractual customer to multiple customers. The multi-units auction mechanism is also discussed briefly. / This thesis studies the problem of strategic capacity planning for make-to-stock manufacturing systems in the presence of a spot market and a long-term contractual channel in a continuous-time infinite horizon setting. The spot market is run by a B2B online exchange where the sales and prices are random over time while the long-term contractual channel is established by a structured contract in which the price and volume to be delivered are pre-negotiated. / Typically, we consider a supply chain which consists of an upstream manufacturer (e.g. Contract Manufacturer) and a downstream manufacturer (e.g. OEM). The two parties of the supply chain are linked by a long-term contract and both of the parties can trade in the spot market. To study the strategic behaviors of the contract manufacturer and the OEM, we first characterize the optimal operating strategies of the players under a specific contract and then analyze the influence of the contract terms on the optimal policies and the expected profit functions. We find that the optimal contracting strategy of the contract manufacturer can be characterized by a supply curve, which is a price-volume pair and strictly upward slopping, and the optimal contracting strategy of the OEM can be characterized by a demand curve, which is strictly downward slopping. / Pang, Zhan. / "August 2007." / Adviser: Youyi Feng. / Source: Dissertation Abstracts International, Volume: 69-02, Section: B, page: 1305. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2007. / Includes bibliographical references (p. 117-122). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract in English and Chinese. / School code: 1307.

Thesis (Ph. D.)--University of Washington, 2000. / Vita. Includes bibliographical references (leaves 102-107).

Thesis (Ph.D.)--University of Texas at Arlington, 2009.

Thesis (Ph.D.)--University of Texas at Arlington, 2009.

Thesis (Ph. D.)--School of Electrical and Computer Engineering, Georgia Institute of Technology, 2004. Directed by Yorai Wardi. / Vita. Includes bibliographical references (leaves 161-164).

Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003. / Includes bibliographical references (leaves 59-61). Also available in electronic version. Access restricted to campus users.

Nowadays business world requires more collaboration along supply chains in order to sustain production, optimize cost structure and speed up delivery. The growing inter twist among supply chainpartners causesnumerous risks whose impacting magnitude and scope are larger than ever before. The risks are not just limited in operations any more but further extend to relationships related aspects. It demonstrates new features that we think should deserve careful investigation. Although supply chain risks and partnerships are great concerns in both academics and industry, the existing literature seldom links them together, and it echoesinadequately upon the new situations happened in the past decade. As such, this research project is made with ambition to improve the understanding of risks in the context of today’s collaborative supply chains where interorganizational linkages are strengthened through partnerships. The research project contains three studies. They constitute an integrated series subjected to the overall research objective. The first study starts with concept building and fundamental notion rethinking of risks in supply chains. We conceptualize supply chain risks into a general form in which risks are integrated into a system capable to reflect the correlation and chain effect among them. Through analytical inference and simulation it is found that the level of collaboration of partners contributes to the resilience of supply chains. It implies that partnerships can positively affect the integration of supply chain risk system, thus enhancing supply chain operations by improved ability in fault recovery.In the following two studies we are concerned with the impacts of different types of risks in supply chains upon companies’ operational performance given the effect of partnerships. The pre risk event effect and post risk event effect of partnerships are investigated in study two and study three respectively. The second study uses survey to research practitioners’ view on the role of supply chain risks and partnerships in supply chain performance. The validated sample of 162 responses reveals that the depth of partnerships imposes the most significant impact on supply chain risks and the collaboration risks are considered the top risk type that can influence supply chain performance to the most extent. The third study focuses on the negative consequence brought to the companies by supply chain risks when they have been realized. Event study is employed as the research methodology to identify and analyzethe effects of different risks under different partnerships. With respect to impact analysis, relationship risks are shown to cause the most significant loss to firm value. Moreover, deeper partnerships are found to have more negative impact on firm value resulted from relationship risks. This research project could contribute to the supply chain risk management literature by furthering the understanding of the important role of supply chain risks in enhancing the company’svalue and operational performance. The findings uncover the crucialrelationship between partnerships and supply chain risks, offering a novel view from a risk perspective to explain why an increasing number of supply chain companies are consciously engaged in partnerships nowadays. They may confer academicians and industrial practitioners with some new insights for risk management in supply chains and encouragefuture research in this area. / published_or_final_version / Business / Doctoral / Doctor of Philosophy