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Vol. 177, Issue 8, August 2014, pp. 184-190




Forecasting the Success of Implementing Sensors Advanced Manufacturing Technology

1 Cheng-Shih Su, 2 Shu-Chen Hsu

1 Department of Design Marketing, Tung Fang Design Institute, Kaohsiung 82941, Taiwan
2 Department of Marketing Distribution Management, Kao Yuan University, Kaohsiung 82941, Taiwan

E-mail: 1 scs@mail.tf.edu.tw, 2 demi8468@hotmail.com



Received: 4 April 2014 /Accepted: 31 July 2014 /Published: 31 August 2014

Digital Sensors and Sensor Sysstems


Abstract: This paper is presented fuzzy preference relations approach to forecast the success of implementing sensors advanced manufacturing technology (AMT). In the manufacturing environment, performance measurement is based on different quantitative and qualitative factors. This study proposes an analytic hierarchical prediction model based on fuzzy preference relations to help the organizations become aware of the essential factors affecting the AMT implementation, forecasting the chance of successful implementing sensors AMT, as well as identifying the actions necessary before implementing sensors AMT. Then predicted success/failure values are obtained to enable organizations to decide whether to initiate sensors AMT, inhibit adoption or take remedial actions to increase the possibility of successful sensors AMT initiatives. This proposed approach is demonstrated with a real case study involving six influential factors assessed by nine evaluators solicited from a semiconductor engineering incorporation located in Taiwan.


Keywords: Decision analysis, Fuzzy preference relations, Analytical hierarchy process, Advanced manufacturing technology.


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