The use of fuzzy modelling and reverse inference to analyze the effects of ERP system implementation

The paper presents a concept for the use of fuzzy modelling and reverse inference to analyze the effects of planned implementation of an ERP system in a medium-sized manufacturing company. The proposed approach allows the possibility of achievement of the effects corresponding to the assumed enterprise targets to be evaluated, and is based on the assignation of suffcient conditions providing these effects defined in the form of selected indicators. The paper also includes a presentation of the results of computer experiments in the field of the determination of the influence of selected fuzzy modelling parameters on the obtained solutions. The suggested concept is dedicated to consultants of ERP software to support decision-making processes.