Fuzzy FMEA Analysis for Identification and Control of Failure Preferences in ERP Implementation

Volume 1, Issue 4, pp 366--376 http://dx.doi.org/10.22436/jmcs.001.04.14

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Authors

Hadi Shirouyehzad - Faculty Member of IE Department, Islamic Azad University, Najafabad Branch Mostafa Badakhshian - R. & D. Department, Deputy of Transportation and Traffic, Municipality of Isfahan Reza Dabestani - Management Department, Isfahan University Hamidreza Panjehfouladgaran - M.S.c. of Industrial and systems engineering

Abstract

ERP began in the 1960s as material requirements planning, an outgrowth of early efforts in bill of material processing. However ERP Implementing as a new set of decision-making processes is a major undertaking involving member throughout the company, there are many barriers to implement ERP successfully. Organizations can reduce the effect of failure through identifying their strengths and weaknesses. One of the most significant methods for defect prevention is FMEA. Fuzzy logic as complementation of FMEA measures the degree of membership in a class instead of arguing over inclusion or exclusion. Fuzzy-FMEA is used as a preventive technique to decrease the failure rate in ERP implementation. The proposed Fuzzy-FMEA also identifies the major failure causes and effect of potential defects in ERP implementation by using fuzzy number. Then failure preferences can be characterized by the severity, occurrence and detection fuzzy values and overall fuzzy risk priority number.

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Keywords

• Failure Mode and Effect Analysis
• Fuzzy Logic
• Enterprise Resource Planning
• Critical Failure Factors.

MSC

•  03B52
•  93C42

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