The Study of The Inventory-Queueing System of The Fork-Join Production Subsystem

碩士 === 中原大學 === 工業工程研究所 === 93 === Usually, considering a fork-join queueing network can represent a general supply chain. The fork-join queue has become more importance in near years as it has developed more completely to describe practical and present system such as parallelism in computer and sto...

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Bibliographic Details
Main Authors: Wan-Lin Huang, 黃菀玲
Other Authors: Kuo-Hwa Chang
Format: Others
Language:en_US
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/yd6575
Description
Summary:碩士 === 中原大學 === 工業工程研究所 === 93 === Usually, considering a fork-join queueing network can represent a general supply chain. The fork-join queue has become more importance in near years as it has developed more completely to describe practical and present system such as parallelism in computer and storage. In the general supply chain system, the system will start to produce a new item while there is a demand from outside require. Therefore, the total items in the system will assume as a fixed amount. This means that there are always the same total number of the items in process and end-products in the system. For this kind of system, it calls inventory-queueing system. The inventory-queue has a production or process system and system’s output will store in an inventory buffer to satisfy the random arriving demands. Therefore, it could be defined inventory-queue system which has fork-join queueing process as a close environment and amount of items in the cycle will always be fixed and equal to base-stock level. In this thesis, there are two forms of the fork-join queueing system will be discussed such as optimal base-stock levels in term of the minimum total costs to keep the fresh degree of the end-production in the closed network and the relationship between the base-stock and the response time (delay time) of the outside demands in the open network. keywords: Queueing system, Fork-join queueing network (FJQN), inventory-queueing system, base stock, response time of demands.