International Joint Polish-Swedish Publication Service

A Network Analysis Process Structure for Selecting an Enterprise Resource Planning (ERP) System in a Fuzzy Environment

Rosaleen Brooke, Bunny Holland

Abstract

ERP systems are able to make an organization more effective and efficient by integrating business processes into an information system infrastructure. To select an appropriate ERP system, which provides all business strategies and goals of the company, is a critical issue. Companies need to choose a flexible ERP system that can respond to the needs of their customers. An inappropriate system selection is the main cause of ERP implementation failure. The inappropriate ERP selection process cannot significantly impact on firm implementation but also it has a significant impact on firm performance. Therefore, there is a great emphasis on selecting the inappropriate ERP system. This paper proposes a multi-criteria decision-making model (MCDM) to select the ERP system based on the ANP process and examines the application of the Fuzzy Network Analytical Process (FANP) process for evaluating various ERP choices. Criteria assessment, weighting and clear prioritization among selection options are the advantages of using the FANP method. Selection of an appropriate FANP system can substantially save both the cost and time. The fuzzy network analysis process determines the priority of the choices according to the assessment criteria. According to the results, ignoring interactions between criteria may lead to wrong or poor decisions. To this end, the criteria for selecting a FANP were firstly determined according to the implementing requirements and demands of the company. After determining the criteria and evaluating the choices for FANP systems and their suggestions, the FANP process, which considers the ambiguity of the decision process, is the best choice for the system resource planning system.

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