Multi CODP adjustment model and algorithm driven by customer requirements in dynamic environments
The position of customer order decoupling point (CODP) has been one of the hot topics in the field of mass customization. With the constant changing in customer requirements, an uncertain production environment arises from the interaction of many variable factors including variety, quantity, time, etc. This results in the need of a better CODP adjustment model and strategy in a customized manufacturing systems with multiple decoupling points. Driven by dynamic environments and customer requirements, the paper presents a multi CODP positioning adjustment system to adapt to dynamic environments and proposes activation models and an algorithm to implement it. After the adjustment of CODP, the system will diagnose whether or not there are inconsistencies in the old and new knowledge based on an expert system. If there are inconsistencies, it will regain consistency by adjusting the rules to ensure the scientificity of the dynamic multi CODP positioning adjustment model. Finally, combined with the examples of turbine production in the machinery factory, the multi CODP positioning adjustment model has been validated.
Cluster Computing