The Study of Optimal Inventory Level for SSP PET Resin- A Case Study of A-Company

碩士 === 國立中央大學 === 工業管理研究所碩士在職專班 === 96 === The enterprise making a profit two big factors are cost down and increasing new revenues. In this research, the major developed models is a demand deterministic “production - inventory - customer demand” model. The objection function is to maximize the prof...

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Bibliographic Details
Main Authors: Chian-lung Wang, 王乾隆
Other Authors: Yingchieh Yeh
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/11618962631609286218
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Summary:碩士 === 國立中央大學 === 工業管理研究所碩士在職專班 === 96 === The enterprise making a profit two big factors are cost down and increasing new revenues. In this research, the major developed models is a demand deterministic “production - inventory - customer demand” model. The objection function is to maximize the profit, which is the difference between revenues and costs. Production, selling, and inventory amount are the control variables. In this model setup and inventory costs are considered. The inventory level can be set at different number. The production plan is arranged to make the setup and inventory cost down. In this research, we select a bottle resin maker in Taoyuan, Taiwan as the case study company. Firstly, we study and calculate the inventory cost, then we use the simulation software with arena to build up a continuous and discrete simulation model of the inventory system. Finally, use the built-in function of the simulation software to get the optimal solution. The condition of production capacity is higher than the customer’s demand in case model. By simulating all the variables and observing their dynamic behavior, the result ( ) shows the best solution increasing 10.5 % profit and the inventory is down 75.9% with the real production data. During the problem-solving procedure, we find the simulation software really is easier to get the optimal solution. Furthermore, we also find that we can easily observe the change of output by just adjust the corresponding parameter, it helps us in decision-making process and also has good practical applications in the real inventory management works.