An organization needs to be ready before implementing a complex enterprise resource planning (ERP) system. To achieve this aim, organization has to address two questions: (1) is the organization sufficiently ready to accept an ERP system and (2) what is the most cost effective plan for improving the readiness, if the organization is not sufficiently ready? . To estimate the current readiness an organization must consider the interrelationships between influential readiness factors and find the best improvement plan as a multi-objective trade-off between the two objectives of maximum readiness and lowest cost. In this paper we demonstrate how to calculate the readiness, and then solve the multi-objective optimization problem. We estimate readiness by using fuzzy cognitive maps to include all the complex causal relationships between factors. We solve the multi-objective optimization problem by using the NSGA-II evolutionary algorithm. The final result is a set of optimal improvement plans where an organization can choose which plan suits it the best.
Ahmadi, S., Yeh, C-H., Martin, R. L., & Papageorgiou, E. I. (2015). Optimizing ERP readiness improvements under budgetary constraints. International Journal of Production Economics, 161, 105 - 115. https://doi.org/10.1016/j.ijpe.2014.11.020