| Summary: | 碩士 === 國立交通大學 === 運輸與物流管理學系 === 102 === Due to the globalization of the supply chain of fruits and vegetables, many fruits and vegetables in Taiwan have been exported to foreign countries. The first condition is that the quality of fruits and vegetables which transport a long time can still be accepted by retailers and consumers. And the atmosphere storage technology is used to extend the shelf life of fresh fruits and vegetables products. The atmosphere storage technology is the method that reduces the oxygen and increase carbon dioxide in the air to reduce fruit and vegetables product’s respiration rate of metabolism in order to prolong the storage duration. In Taiwan, on the supply side, there are many small-scale farmers.Their amount of goods are usually too small, less than filled the entire cabinet, so that can not be exported; On the demand side, the consumers also changed their shopping style from bulk purchase into various and small amount of purchase.
Under the circumstances, this research purposed the principles for storing different products into same storage boxes. The principles are based on inducting key factors which would change the quality of fresh fruits and vegetables; sorting products based on different conditions of loading and storage environment. Focus on two parts: place of origin-logistics centers and logistics centers-retailers of fruit and vegetable supply chain, considering separately applicated to controlled atmosphere storage(CA) and modified atmosphere package(MAP) to extend the shelf life. For dealing with fruits and vegetables turned into various and small amount situation,using integer non-linear programming (INLP) methods to construct a "Consolidation Optimaztion for Fresh Fruits and Vegetables with Atmosphere Storage Technology". Through the simulated sample data, solve the consolidation optimaztion for fresh fruits and vegetables with atmosphere storage technology under consideration classification system. Finally, do some sensitivity analysis to several important parameters of modes: temperature, atmosphere setting costs, packaging costs, container using costs and shelf life prediction, expecting to identify important factors that affect the objectivity fo the model.
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