An Intelligent Manufacturing Models Recommendation Model Based on Knowledge Graph and Recommendation Algorithms

Abstract

With the concept of intelligent manufacturing, a variety of intelligent manufacturing models emerge. But companies don’t have enough knowledge to choose the suitable intelligent manufacturing model. To solve this problem, based on lean design principles, combined with expert knowledge and expertise, we propose an Intelligent Manufacturing Models Recommendation Model (referred to as IMMR Model). First, we categorize customer requirements into real need, customer preference and customer expectation to accurately identify customer requirements. Then, we use knowledge graph to build a professional knowledge base for intelligent manufacturing, and form customized intelligent manufacturing models based on lean design. Finally, a recommendation system is constructed by combining an ontology rule-based recommendation algorithm and a similarity-based recommendation algorithm to recommend suitable intelligent manufacturing models for different customer requirements.