A Fuzzy Logic-Based Methodology for Bullwhip Effect Quantifying

The Bullwhip Effect (BE) has been considered as one of the most important issues in supply chain management. Although it is well established that demand signal processing, order batching, gaming and pricing are the main sources that lead to the BE, but sometimes we are facing problems in qualifying it. One reason for that could be the incomplete, inconsistent, uncertain or unclear data. In that situation, the BE quantification is the most significant activities which can be performed by us. Therefore, the aim of this paper is to create a methodology which use a fuzzy inference system (FIS) based on the experience of experts to quantify the BE to reducing its negative impacts.