Process Knowledge Recommendation System for Mechanical Product Design
Zhenyong Wu, Lu Li, Haotian Liu
Abstract
To solve the problems of high time cost caused by the low efficiency of knowledge acquisition, this paper proposes a knowledge service framework based on case set. Three knowledge retrieval methods are designed based on parts keywords, customer orders and manufacturing processes. Additionally, a VSM-based (vetor space model) knowledge recommender method is proposed by using similarity matching algorithm to improve the efficiency of knowledge acquisition and transfer. Finally, application scenarios and evaluation of the proposed approach in a mechanical product design project are given to illustrate the application effect of knowledge service system.
Topics & Concepts
Computer scienceMatching (statistics)Process (computing)Knowledge acquisitionProduct (mathematics)Set (abstract data type)Recommender systemSimilarity (geometry)Knowledge transferService (business)Artificial intelligenceKnowledge managementInformation retrievalImage (mathematics)MathematicsOperating systemProgramming languageStatisticsEconomicsGeometryEconomyManufacturing Process and OptimizationProduct Development and CustomizationIndustrial Technology and Control Systems