Combination of Theory of Constraints and Lateral Transshipment to Inventory Management on Three-echelon Supply Chain System

碩士 === 國立雲林科技大學 === 工業工程與管理系 === 106 === In recent years, the customer’s demand has already become varied that cause the market demand uncertainty. The alternatives cause the Product Life Cycle (PLC) was becoming shorter than before and the market competes sharply. The upstream Suppliers guess the d...

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Bibliographic Details
Main Authors: GUO,JHE-JIA, 郭哲嘉
Other Authors: Su, Chwen-Tzeng
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/9wbw79
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Summary:碩士 === 國立雲林科技大學 === 工業工程與管理系 === 106 === In recent years, the customer’s demand has already become varied that cause the market demand uncertainty. The alternatives cause the Product Life Cycle (PLC) was becoming shorter than before and the market competes sharply. The upstream Suppliers guess the demand of downstream, and follow the forecast to produce the product to satisfied downstream demand. It will make the demand higher, because the high echelon supplier chain, cause the bullwhip effect. In the past years, there are a lot of researches has proved the Theory of Constraints and Lateral Transshipment are helpful for supplier chain, but if we only use the Lateral Transshipment, we can’t let the upstream according the demand of downstream to produce the product. The other way round, if we only use the pull policy of supplier chain, we may have the risk of out of stock. Therefore, our research was tried to combination of Theory of Constraints and Lateral Transshipment to Inventory management. We expect our policy can reduce the supplier chain total cost and improve the flexibility. We provide a policy that is combination of Theory of Constraints and Lateral Transshipment, and we use the numerical example to prove our policy. It is 100 periods, and keeps it 30 times. We assume one period is one-month, and there are only one product, and the whole system includes one supplier, one logistics center and five retailers. We have provided our policy is good to others. After this, we use the Sensitivity Analysis Method to find the key factor that will affect the total cost.