Forecasting and optimization of service level in vague and complex SCM by a flexible neural network–fuzzy mathematical programming approach

This study presents a flexible meta-modeling approach for modeling and optimization of service level (SL) in vague and complex supply chains. Service level is used as the dependent variable, and ten standard variables including lead time, forecast error, supplier service level, delay, stock coverage...

Ausführliche Beschreibung