Evaluating the Failure Risk Level of an Enterprise Resource Planning Project Using Analytic Network Process in Fuzzy Environment


KOP NASKALİ Y., ULUKAN H. Z., GÜRBÜZ T.

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, vol.17, no.4, pp.407-423, 2011 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 17 Issue: 4
  • Publication Date: 2011
  • Journal Name: JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.407-423
  • Keywords: ERP implementation, analytic network process, dependency, fuzzy, risk evaluation, CRITICAL SUCCESS FACTORS, SUPPLIER SELECTION, ERP, IMPLEMENTATION, MANAGEMENT, MODEL, FRAMEWORK
  • Galatasaray University Affiliated: Yes

Abstract

In today's world of competition, effective and on time information and efficient decisions are indispensable aspects of the management. Enterprise Resource Planning systems are information systems that ensure an effective and efficient management by providing cooperative data flow, handling and planning all process. ERP projects represent a major investment but their failure rates are very high. They are risky projects. Six main risk factors considered in this study are: Executive risks, Organizational risks, Project management risks, Technical risks, Decision making risks, Functional risks. Having "evaluation of the failure risk of a SAP/R3 implementation project" as the main objective, possible inter and inner relationships/dependencies between the main factors are considered and an Analytic Network Process approach is proposed to the model. Decision makers usually are unable to be explicit about their preferences due to the fuzzy nature of the comparison process. So, expert judgments are matched with fuzzy numbers, in this study.