An Innovative Fuzzy Logic Based Approach for Supply Chain Performance Management

In the last decade, the topic of supply chain performance measurement has attracted the attention of many researchers and practitioners worldwide. A series of significant changes and advancements in the theory and applications has been noticed. Nevertheless, gaps still exist. Current supply chain performance measurement systems still suffer from being too inward looking, ignoring external environmental factors that might affect the overall supply chain performance in the future when setting new targets. In this paper, we introduce an innovative approach to supply chain performance management. The proposed idea integrates fuzzy logic with trend impact analysis and provides a scenarios-based method that simulates and quantifies the possible effect of external factors on the supply chain performance, and thus enables setting realistic achievable targets. The idea is novel and beyond the state of the art of supply chain performance measurement.