Eliminating bullwhip effect in supply chain stock systems using smart controllers

Several alternative approaches have been proposed for supply chain modeling majority of which steady-state models. These models cannot adequately deal with dynamic characteristics system affected by lead time, demand fluctuation, sale prediction and so forth. Static in particular describe, analyze provide solutions a key issue chains called bullwhip effect. The effect is information deviation from one end the to other intensifies fluctuation change downstream upstream. This leads major deficiencies. One used cope issues control systems approach. In present study, predicting model controller was developed minimize chain. addition, methodology integrated into framework predict uncertainty distorting behavior. Integration improved controlling system's performance. main feature signal design its distortion. factors behind signals processing fact, used.