| Summary: | 碩士 === 中原大學 === 工業與系統工程研究所 === 103 === Recently, there is a big competition in the global supply chain among enterprises. Not only in the advances of production technology but also in the quality of products which are being improved year by year. Lean manufacturing method is one of the major reasons of these improvements, which lead to more efficient productions. The customer initiates the pull production system which requires lower safety stocks. Production is only done when there is a standing order which prevents unnecessary wastes and inventory costs. Thus, we model a lean production systems as a queueing network and then calculate the On-Time-Delivery-Rate.
As supply chains become increasingly dependent on the suppliers, supply chain disruption risk has become an important issue. Retailers reduce the risk of supply disruptions by selecting multiple suppliers. Researchers described the relationship of cooperation and competition between manufacturers and suppliers, and that increasing the backup vendors will also increase costs for manufacturers. The key point is finding the relation between manufacturers and suppliers that can reduce their production costs, avoid supply chain disruptions, and other problems. Thus, this research will propose a pull production of multi-station and multi-station machining supplier of production systems by phase-type distribution, under a stable state of basic inventory levels. Furthermore queuing method specifically MGM (Matrix-Geometric Method, MGM) is applied to obtain the probability limit and define the required supply chain inventory levels at a substantially stable condition. When customer arrives and places an order, the system starts production and satisfies the customer’s demand. The time it takes to satisfy the demand is called the response time. When the supply chain is experiencing an interruption, an alternate supplier is asked to satisfy the demand. The time that the supplier can supply the demand at the right time is called the On-Time-Delivery-Rate. The response time and On-Time-Delivery-Rate will be very useful for managers in their decision making and will be a good measures for their system assessment.
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