Optimization and Reconfiguration of Advanced Manufacturing Mode Based on Object-Based Knowledge Mesh and Improved Immune Genetic Algorithm

Abstract

This paper deals with an approach to the optimization and reconfiguration of advanced manufacturing mode based on the object-based knowledge mesh (OKM) and improved immune genetic algorithm (IGA). To explore the optimization and reconfiguration of the new OKM by the user’s function requirements, an optimization procedure of an OKM aiming at the user’s maximum function-satisfaction is proposed. Firstly, based on the definitions of the fuzzy function-satisfaction degree relationships of the users’ requirements for the OKM functions and the multiple fuzzy function-satisfaction degrees of the relationships, the optimization model of the OKM multiple set operation expression is constructed. And the OKM multiple set operation expression is optimized by the immune genetic algorithm, with the steps of the OKM optimization presented in detail as well. Based upon the above, the optimization and reconfiguration of an advanced manufacturing mode are illustrated by an actual OKM example. The proposed approach proves to be very effective.