Key Factors Analysis on Food Suppliers Operation Location Choice

碩士 === 開南大學 === 觀光運輸學院碩士在職專班 === 102 === This is the study based on Food Company in Taiwan whose distribution location is being the key factor. Since the expanding of electronic business and competition, supplying chain is getting shorter from producer to end user. Company who serves more selection...

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Bibliographic Details
Main Authors: Chang Yi Hung, 張義宏
Other Authors: 林成蔚
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/37634927972759742532
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Summary:碩士 === 開南大學 === 觀光運輸學院碩士在職專班 === 102 === This is the study based on Food Company in Taiwan whose distribution location is being the key factor. Since the expanding of electronic business and competition, supplying chain is getting shorter from producer to end user. Company who serves more selection but small quantity and speed delivery, has to shorten their supplying chain. Hence, it is a key factor for company who should improve supplying chain progress and decrease handling cost. In order to reduce the cost in transportation, handling and storage but increase market competition, companies started to set capital warehouse. However, under the pressure of territory and energy shortage, the key factor goes for location of capital warehouse. When selecting the location of capital warehouse, there are many criteria, some criteria could be quantification, such as the cost of warehouse hardware. Some criteria could be qualification, such as urban planning. Different conclusion will be made when facing different decision maker. It is not easy to judge when selection. Even more, most of the decisions were made by some people’s experience. However, the district criteria will be ignoring. Therefore, this is the study focusing on factors considering when selecting the location of warehouse. The Consistent fuzzy preference relations (CFPR) were applied when judging the importance of warehouse selecting. Also, Entropy was applied to clarify the suspension degree. At last, in order to specify KPI of different option when selecting warehouse location, Simple Additive Weighting (SAW) was applied to prove the analysis.