ZHANG Wei, BAO Min, FENG Shi kou

 

(Faculty of Mechanical Engineering & Automation, ZheJiang Sci Tech University, HangZhou 310018, China)

 

 

Abstract: Aiming at the problems of bottleneck identification using complicated models, single performance indicators and hard to operated in some studies, the different kinds of performance indicators, and how to simplified the model were researched. Then multiple performance indicators and fuzzy inference system were used to propose a comprehensive bottleneck identification method. The factors that caused the bottleneck occurred were fully considered, and multiple corresponding performance indicators were defined, AHP was used to give them proper weight, as the fuzzy inference system is not depend on object′s accurate model, so it was introduced to establish a comprehensive bottleneck identification model, calculated values of comprehensive bottleneck index. At last Witness simulation was carried out with an example. The results indicate that this method can identify the bottleneck of product system more accurate and more simple, can provide theoretical reference for production management and control of the enterprise under the fuzzy information.

 

Key words: analytic hierarchy process; fuzzy inference system; bottleneck identification