Improving Computation Methods of Factor X Indicator for Product Assessment

• Main Authors: Chieh-hao Huang, 黃玠豪
• Other Authors: Ja-hau Chen
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/57359333621339903553

碩士 === 國立成功大學 === 機械工程學系碩博士班 === 96 === Factor X Indicator Method is an approach to numeric data of product value and the environmental load; hence it also can compare the improvement rate of old and new products by using multiple approaches. Because different companies use different Factor X Indicator Methods to calculate their own products, they can’t compare themselves to other companies. This research collects, compares and explains some companies’ Factor X Indicator Methods. Most companies use Life Cycle Assessment (LCA) to calculate the environmental loads, hence the items which they use to evaluate don’t have much differences. Therefore, bigger diversification of the same items in different companies pertain product values, the year and calculation of old and new products are collected amd analysed .Also, some methods are proposed to solve the diversifications. First, using Quality Function Deployment (QFD) to turn consumer’s opinions into product value and find the higher index of product value. There are three options of product year choosing: first is choosing the oldest one, second is choosing the worst function one, and the third one is choosing the specific year product. Finally, there are two options of Factor X Indicator calculation. One is multiple product value year to its own index and add all of them, the other is multiple productvalue but not including age to its own index and add all together then multiple age. Consequently, put all the product information to above proposed methods and we can calculate the Factor X indicator methods of different products. Every company can use the reform method to get the product improvement multiplier, and compare them to different companies. Hence, it is more objective and easier for consumers to compare with all products made by different companies by using QFD for turning consumer’s opinions to product engineering function in index instead of companies using their own approaches.