A Semi-Structured Tailoring-Driven Approach for ERP Selection

TL;DR

This paper introduces a semi-structured, holistic approach for ERP system selection that considers both functional and non-functional requirements, using iterative evaluation and multi-criteria decision techniques to improve selection accuracy.

Contribution

It presents a novel ERP selection method combining 0-1 linear programming and MACBETH for comprehensive, resource-aware evaluation of candidate systems.

Findings

Enhanced accuracy in ERP selection process

Holistic consideration of functional and non-functional requirements

Effective use of multi-criteria decision techniques

Abstract

It has been widely reported that selecting an inappropriate system is a major reason for ERP implementation failures. The selection of an ERP system is therefore critical. While the number of papers related to ERP implementation is substantial, ERP evaluation and selection approaches have received few attention. Motivated by the adaptation concept of the ERP systems, we propose in this paper a semi-structured approach for ERP system selection that differs from existing models in that it has a more holistic focus by simultaneously 1) considering the anticipated fitness of ERP solutions after the optimal resolution, within limited resources, of a set of the identified mismatches and 2) evaluating candidate products according to both functional and non-functional requirements. The approach consists of an iterative selection process model and an evaluation methodology based on 0-1 linear programming and MACBETH technique to elaborate multi-criteria performance expressions.