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Information revision and decision making in a two-stage supply chain. / CUHK electronic theses & dissertations collection / Digital dissertation consortium / ProQuest dissertations and theses

As information revision is becoming a more and more common practice in industry, we put our emphasis on the context of information revision and decision making in a supply chain. This dissertation is concerned with the analysis of information updating, competitive study of a two-level supply chain, and volume flexible contract together with spot market purchase. / For the competitive study, we focus on the dynamics of competitive behaviors between the supplier and the buyer. For the demand and demand forecast with single-peak probability distribution functions, we prove the existence of a unique Stackelberg equilibrium from the Stackelberg game at each stage. / For the contract study, we develop a model which takes both volume flexible contract and spot market purchase into consideration. The optimal order quantity at each stage is determined. Furthermore, by making use of the stochastic comparison theory, we investigate the impact on profit and the optimal order quantity induced by the accuracy of the demand forecast. (Abstract shortened by UMI.) / With the framework of information revision, the decision dynamics is the focus of supply chain management. We primarily concentrate on the competitive and cooperative study of a simple two-level supply chain. / With the phenomenon observed from local industry, our research, on the analysis of information updating within a node in a supply chain, involves three tasks: (a) analyzing the data collected from local industry; (b) modeling demand forecasting process based on the observation; and (c) determining the operational factors which drive the fluctuation of demand forecast variances. With regard to (a), we observe that, as the forecasting horizon decreases, the variances of forecasts increase and variances of forecasting errors decrease. With regard to (b), we make use of Bayesian analysis approach to model the demand forecasting process, and prove that, under multi-stage demand forecasting structure, both the variance and the precision of demand forecast increase. Concerning (c), four operational factors, i.e. price promotion, lotsizing, new product introduction, and pre-confirmed order, are considered to be the causes. / Hua Xiang. / "November 2001." / Adviser: Houmin Yan. / Source: Dissertation Abstracts International, Volume: 63-01, Section: B, page: 0506. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (p. 104-111). / 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 dissertations and theses, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_343106
Date January 2001
ContributorsXiang, Hua., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, theses
Formatelectronic resource, microform, microfiche, 1 online resource (ix, 111 p. : ill.)
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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