Evaluating and ranking the indicators affecting Business Process Re-engineering (BPR) in order to improve the efficiency of manufacturing industries by using FANP method
Subject Areas : business management
1 - Department of Industrial Engineering, Technical and Engineering Faculty, Payam Noor University, Tehran, Iran
Keywords: fuzzy logic, Productivity, ANP, Business process re-engineering,
Abstract :
The meaning of BPR is that we overview and breakdown current business process. This method, by using more efficient processes, enables your company to decrease costs and increase profitability.This research has been attempted to evaluate and ranking the indicators which are effective on BPR, in order to improve efficiency of industries by using fuzzy ANP combined methodology. The study population of this research can be classified into two general groups: first group is the masters of university who are expert in BPR, second group is experts working in manufacturing industries. Actually the sampling method in this research is a combination of targeted non-probability sampling method and snowball sampling. Due to the nature of the sampling method, finally the sample volume of this study is equal to 30 person of Experts available and willing to cooperate. Due to the finall analysis and prioritizing criteria, it is visible that “technological and educational factors” with final weight of 0.252; “Empowerment” with weight of 0.177; “organizational culture” with weight of 0.122; has been defined as the most important ANP integrated model criteria for BPR in order to improve the efficiency of manufacturing industries.
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