Developing a selection model for logistics strategy selection

碩士 === 國立高雄第一科技大學 === 運輸倉儲營運所 === 93 === In recent years, as rapid change for industrial structure and higher consuming ability, the needs for logistics become more important than before. For all of the enterprise, logistics operations’ ability of a company becomes an important factor for the succes...

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Bibliographic Details
Main Authors: Ming-chuan Wu, 吳旻娟
Other Authors: Lie-chien Lin
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/29460189068441130214
Description
Summary:碩士 === 國立高雄第一科技大學 === 運輸倉儲營運所 === 93 === In recent years, as rapid change for industrial structure and higher consuming ability, the needs for logistics become more important than before. For all of the enterprise, logistics operations’ ability of a company becomes an important factor for the success of the company. My research defines that the logistics strategy is the development way for the enterprise executes the logistics activity chooses. My research use Fuzzy AHP approach to develop a strategic model for logistics strategy selection to obtains each logistics strategy consideration factor aspects and the indicators weight value, and combine Fuzzy Synthetic Evaluation Model to calculate overall evaluation of this alternative way for the logistics strategy, which help decision makers to have the results of each way by use of these systematic indicators. Not only can we obtain the evaluation of each strategy, but also the result of each indicator in every aspect. In the last, adjuvant with statistic tests to further get the idea of variables of the enterprise’s character, consideration factors of the logistics strategy, and the relationship between logistics strategy execution factors. The main contributions of this research are to classify and reorganize the related literature of logistics strategy and purpose the view of logistics strategy classification. My research hope to assist enterprises to make future considerations and references in logistics strategy related decisions.