The Inventory-Queue System Consisting of the Upstream MTS Production and the Downstream MTO Production

碩士 === 中原大學 === 工業工程研究所 === 95 === Abstract The queueing networks are the important models for the multiprogrammed and time-shared computer systems. Because of queueing system can describe the production, manufacture, communication, and computer network and service system. Also we utilize the mathe...

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Bibliographic Details
Main Authors: Yi-Der Chiou, 邱議德
Other Authors: Kuo-Hwa Chang
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/35957499826421037302
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Summary:碩士 === 中原大學 === 工業工程研究所 === 95 === Abstract The queueing networks are the important models for the multiprogrammed and time-shared computer systems. Because of queueing system can describe the production, manufacture, communication, and computer network and service system. Also we utilize the mathematical quantification to model, analyze and optimize the important appraisal targets. Right now, the queueing system is kept applying and analyzing to improve new system, such as the inventory queueing system utilized in the global supply chain of consumer products and the queueing system applied in the assembly manufacturing (such as laptop computers). Assembler, in addition to fulfill the ordinary orders for the regular product by adopting Make-to-Stock (MTS) production, they are often asked to take care the special demands for the customized products by adopting Make-to-Order (MTO) production. In this model, we consider a two-station system in which the first station is a MTS system supporting the semi-products to be used at the second station which performs the follow-up process to the special demands. In this system, the MTS systems are controlled under the base-stock policy. The system is analyzed the response time of the demand in a two-station inventory-queue system, which is used to describe a serial supply chain system with MTO stochastic demands. We consider the base stock policy for accelerating the response to the demand. The limiting probabilities are obtained by using matrix-geometric approach and their corresponding performances under base-stick control policy can also be obtained. Furthermore, we can determine the optimal base-stock level numerically.