Author : Hing-Kai Chan
Publisher : Open Dissertation Press
ISBN 13 : 9781361476697
Total Pages : pages
Book Rating : 4.4/5 (766 download)
Book Synopsis Impacts of Flexibility in Delivery Quantity and Due Date on Supply Chain Dynamics by : Hing-Kai Chan
Download or read book Impacts of Flexibility in Delivery Quantity and Due Date on Supply Chain Dynamics written by Hing-Kai Chan and published by Open Dissertation Press. This book was released on 2017-01-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "Impacts of Flexibility in Delivery Quantity and Due Date on Supply Chain Dynamics" by Hing-kai, Chan, 陳慶佳, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled "Impacts of Flexibility in Delivery Quantity and Due Date on Supply Chain Dynamics" Submitted by Hing Kai, CHAN for the degree of Doctor of Philosophy at the University of Hong Kong in December 2006 Supply chain management has been regarded as one of the most important strategies for achieving competitive advantage. More specifically, flexibility seems to be a pre- requisite for conducting and sustaining long-term business. In this connection, coordination with flexibility among supply chain members is of vital importance in a dynamic environment, and this area of study is referred to as supply chain dynamics in the literature. The main motivation of this thesis is to propose inter-organisation coordination mechanisms with flexibility, in terms of delivery quantity and delivery due date, and to study their impacts on the supply chain performance so that the effects of system dynamics could be reduced. Researchers have developed various mathematical programming methodologies for finding the optimal solutions of the problems in related domains. However, one major limitation of these mathematical programming models is the assumption of centralised control, which is virtually impossible. This is because participating members in a supply chain are often owned by different parties and are distributed in nature. It is also difficult, if not impossible, for traditional analytical approaches to take flexibility in terms of some iterative algorithms into consideration. On the other hand, simulation is an effective tool for evaluating the control mechanism for distributed supply chains. In particular, multi-agent based simulation can cater for systems with distributed entities while each of them makes decisions locally. By adopting such a modelling technique, supply chains can be built efficiently. In this respect, a multi-agent based approach is employed in this thesis for analysing the proposed coordination mechanisms. In this thesis, several coordination mechanisms have been developed and simulation experiments have been conducted and tested on various performance measures including total cost, retailer cost, and demand fill rate. In a single product environment, a coordination mechanism which is called early order completion contract with a number of static, but selectable, delivery quantity and due date is employed to reduce the additional cost due to uncertain demand. In addition, the said contract approach is extended so that ranges of pre-defined delivery quantity and due date are presented to the supply chain members. They then can obtain the final decision within the solution space that is subject to the real-time information, rather than the forecast. To improve the generality of the proposed coordination mechanism, it is modified and applied in a multi-product environment. It is also compared with a situation where information sharing is allowed, which is considered as a pseudo- optimal solution. It is found that the proposed mechanism can outperform the tradition stochastic order-up-to policy, and can perform reasonably well against the pseudo- optimal solution. Finally, an adaptive approach is considered in order to further improve the fill rate of the proposed mechanism. The results of this thesis demonstrate the efficacy of adding flexibility in supply chains to counteract system dynamics. The thesis concentrate
