publication . Article . 2014

Forecasting the Success of Implementing Sensors Advanced Manufacturing Technology

Cheng-Shih Su; Shu-Chen Hsu;
Open Access English
  • Published: 01 Aug 2014 Journal: Sensors & Transducers (issn: 2306-8515, eissn: 1726-5479, Copyright policy)
  • Publisher: IFSA Publishing, S.L.
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 organ...
Subjects
free text keywords: Decision analysis, Fuzzy preference relations, Analytical hierarchy process, Advanced manufacturing technology., Technology (General), T1-995
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