運用層級分析與德菲法於 太陽能晶圓廠址選擇之研究

Using Analytical Hierarchy Process and Delphi Method to Select Solar Wafer Factory Location

王世宙(Shl-Chou Wang)

指導教授 ： 黃惠民

中原大學/電機資訊學院/工業與系統工程研究所/碩士(2015年)

https://doi.org/10.6840/cycu201500378

摘要

近年來從2008年金融海嘯與2011年歐美公債的影響，因而太陽能產業歷經了二次產業的低迷期。除此之外，加上中國大陸業者的快速崛起的競爭與中國政府的補助，以致於第二次的低迷期至今仍未見起色，因此本研究希望藉由選擇最適當之廠址，進而使該產業營運用更有效率，以降低整體營運成本，以盡速脫離負毛利時期。
本研究藉由個案X公司為例，進行臺灣地區各地區之三方案廠址選擇分析。首先一開始藉由蒐集各項準則之文獻且分類整理其相關屬性，再採用李克特量表法 ( Likert scale ) 實施項目量表問卷安排順序，挑選出主要因素與次要因素，以建構成層級分析架構，之後利用層級分析問卷整合專家意見、再使用SPSS計算Cronbach’s Alpha 以檢驗問卷之信度，通過之後另外以Expert Choice計算出方案廠址第二及三層之相對權數與平均總評分，故由其中可得知三方案廠址之總平均總評分以高雄園區為最高，故本研究結果以高雄為其中最佳方案廠址。

關鍵字

廠址選擇 ； 李克特量表法 ； 德菲法 ； 層級分析法 ； 太陽能晶圓

並列摘要

In recent years, due to the influences of the financial tsunami in 2008 and the European and American government problem bonds in 2011, the solar energy industry has gone through two depressions. In addition, with the competitions from the fast-rising factories in China and the subsidies provided by the Chinese government, the second depression has not improved. In this study, we try to improve the efficiency of the solar energy industry by choosing the most appropriate location of a factory in order to reduce the overall operating costs and the effect of the depression.

This study used the case company XYZ, as an example; we analyze and choose among the three factory locations in Taiwan. Firstly, this study reviewed and classified related literature based on their characteristics. Then the Likert scale was applied to the questionnaire survey. We developed the main factors and the secondary ones to construct the AHP structure. Then the AHP questionnaire was issued to collect and summarize the experts’ opinions. Next, the Cronbach’s Alpha was calculated using the SPSS software package to verify the reliability of the questionnaire. After passing the test, Expert Choice was used to calculate the relative weights for locations and the average total scores for the second and third Hierarchy. Among the 3 locations, the park in Kaohsiung has the highest overall average and total score. Thus, according to the result of this study, the best choice of factory location was Kaohsiung.

並列關鍵字

Likert scale ； Solar Wafer ； Facility Location ； Delphi Method ； AHP

參考文獻

1.綠能科技股份有限公司。取自：http://www.getinc.com.tw。

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