Optimal Stock Management of Customized Products in Chemical Industry

碩士 === 國立中山大學 === 企業管理學系研究所 === 98 === Ethylene-vinyl acetate emulsion is the copolymer of vinyl acetate and ethylene, which has been developed as a powerful adhesive base. It effectively bonds substrates such as wood, cotton cloth, hardboard and paperboard. After modifying by adhesives producers, E...

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Main Authors: Chan-Ao Hu, 胡占鰲
Other Authors: Hsien-tang Tsai
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/44974691104005295152
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spelling ndltd-TW-098NSYS51210142015-10-13T18:35:38Z http://ndltd.ncl.edu.tw/handle/44974691104005295152 Optimal Stock Management of Customized Products in Chemical Industry 化工業客製化產品最適原料存貨決策模式之研究-以EVA乳膠產品為例 Chan-Ao Hu 胡占鰲 碩士 國立中山大學 企業管理學系研究所 98 Ethylene-vinyl acetate emulsion is the copolymer of vinyl acetate and ethylene, which has been developed as a powerful adhesive base. It effectively bonds substrates such as wood, cotton cloth, hardboard and paperboard. After modifying by adhesives producers, EVA emulsion can bond a great variety of surfaces, particularly effective in bonding polyvinyl chloride films and narrow-pore materials. Adhesives producers provides customized products according to different end users’ needs and consequently have to keep raw materials in stock until orders are placed. The ordering of EVA emulsion is an important issue for adhesives producers because of the seasonal demand pattern and price fluctuation of raw materials. Furthermore, under certain transporting and order restrictions, the ordering quantity is fixed and delivery time has to be made in advance. The multi-period inventory models, including EOQ and ROP, are not suitable for analyzing the ordering of EVA emulsion due to the presupposition of unlimited period. This research is based on the case study for NP chemical, using modified ROP model to explore how the selection of service level and delivery time can effect safety stock, probability of shortage, and inventory cost under the conditions of limited period, seasonal demand, given order quantity, and pre-selecting delivery points. The study also constructs a liquid raw material inventory model with fluctuating price and given order quantity in order to determine the optimal combination of delivery points. The conclusion of this study are presented as follows: 1.Service level doesn’t directly effects the probability of shortage and inventory cost in limited period. 2.The combination of delivery points is the key decision factor because of its causal relationship with the probability of shortage and inventory cost. 3.The optimal combination which leads to the lowest inventory cost can be determined by using the inventory model introduced in this study. Hsien-tang Tsai 蔡憲唐 2010 學位論文 ; thesis 83 zh-TW
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description 碩士 === 國立中山大學 === 企業管理學系研究所 === 98 === Ethylene-vinyl acetate emulsion is the copolymer of vinyl acetate and ethylene, which has been developed as a powerful adhesive base. It effectively bonds substrates such as wood, cotton cloth, hardboard and paperboard. After modifying by adhesives producers, EVA emulsion can bond a great variety of surfaces, particularly effective in bonding polyvinyl chloride films and narrow-pore materials. Adhesives producers provides customized products according to different end users’ needs and consequently have to keep raw materials in stock until orders are placed. The ordering of EVA emulsion is an important issue for adhesives producers because of the seasonal demand pattern and price fluctuation of raw materials. Furthermore, under certain transporting and order restrictions, the ordering quantity is fixed and delivery time has to be made in advance. The multi-period inventory models, including EOQ and ROP, are not suitable for analyzing the ordering of EVA emulsion due to the presupposition of unlimited period. This research is based on the case study for NP chemical, using modified ROP model to explore how the selection of service level and delivery time can effect safety stock, probability of shortage, and inventory cost under the conditions of limited period, seasonal demand, given order quantity, and pre-selecting delivery points. The study also constructs a liquid raw material inventory model with fluctuating price and given order quantity in order to determine the optimal combination of delivery points. The conclusion of this study are presented as follows: 1.Service level doesn’t directly effects the probability of shortage and inventory cost in limited period. 2.The combination of delivery points is the key decision factor because of its causal relationship with the probability of shortage and inventory cost. 3.The optimal combination which leads to the lowest inventory cost can be determined by using the inventory model introduced in this study.
author2 Hsien-tang Tsai
author_facet Hsien-tang Tsai
Chan-Ao Hu
胡占鰲
author Chan-Ao Hu
胡占鰲
spellingShingle Chan-Ao Hu
胡占鰲
Optimal Stock Management of Customized Products in Chemical Industry
author_sort Chan-Ao Hu
title Optimal Stock Management of Customized Products in Chemical Industry
title_short Optimal Stock Management of Customized Products in Chemical Industry
title_full Optimal Stock Management of Customized Products in Chemical Industry
title_fullStr Optimal Stock Management of Customized Products in Chemical Industry
title_full_unstemmed Optimal Stock Management of Customized Products in Chemical Industry
title_sort optimal stock management of customized products in chemical industry
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/44974691104005295152
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