Forecasting the Success of Implementing Advanced Manufacturing Technology

Abstract

This paper is presented fuzzy preference relations approach to forecast the success of implementing 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 AMT, as well as identifying the actions necessary before implementing AMT. Then predicted success/failure values are obtained to enable organizations to decide whether to initiate AMT, inhibit adoption or take remedial actions to increase the possibility of successful AMT initiatives.