Process Knowledge Recommendation System for Mechanical Product Design

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.

[1]  Jia Hao,et al.  A Context Modeling Method of Knowledge Recommendation for Designers , 2016, 2016 International Conference on Information System and Artificial Intelligence (ISAI).

[2]  Qi Zhang,et al.  Enterprise Knowledge Recommendation Approach Based on Context-aware of Time-sequence Relationship , 2017 .

[3]  Rafael Valencia-García,et al.  Towards a knowledge-based probabilistic and context-aware social recommender system , 2018, J. Inf. Sci..

[4]  Donghee Yoo,et al.  A hybrid online-product recommendation system: Combining implicit rating-based collaborative filtering and sequential pattern analysis , 2012, Electron. Commer. Res. Appl..

[5]  Anne-Françoise Cutting-Decelle,et al.  A model-driven ontology approach for manufacturing system interoperability and knowledge sharing , 2013, Comput. Ind..

[6]  Alain Bernard,et al.  The evolution, challenges, and future of knowledge representation in product design systems , 2013, Comput. Aided Des..

[7]  Xinguo Ming,et al.  Knowledge integration and sharing for complex product development , 2014 .

[8]  Paul G. Maropoulos,et al.  A knowledge capturing and sharing framework for improving the testing processes in global product development using storytelling and video sharing , 2018 .

[9]  Xinxin Li,et al.  Product lifecycle–oriented knowledge services: Status review, framework, and technology trends , 2017, Concurr. Eng. Res. Appl..

[10]  Pradeep Kumar,et al.  A web recommendation system considering sequential information , 2015, Decis. Support Syst..

[11]  James Gao,et al.  An overview of manufacturing knowledge sharing in the product development process , 2018 .

[12]  Zhiwu Li,et al.  Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm , 2018, Journal of Intelligent Manufacturing.

[13]  Suihuai Yu,et al.  State-of-the-art of design, evaluation, and operation methodologies in product service systems , 2016, Comput. Ind..

[14]  Richard David Evans,et al.  A new paradigm for virtual knowledge sharing in product development based on emergent social software platforms , 2018 .

[15]  Joseph P. Zammit,et al.  A knowledge sharing framework for improving the testing processes in global product development , 2016 .

[16]  Tao Jin,et al.  Expert knowledge recommendation systems based on conceptual similarity and space mapping , 2019, Expert Syst. Appl..

[17]  Shu-San Gan Knowledge Sharing in Closed-Loop Supply Chain Management , 2017 .

[18]  Praveen Pathak,et al.  Knowledge sharing and cooperation in outsourcing projects - A game theoretic analysis , 2007, Decis. Support Syst..

[19]  Paul Witherell,et al.  A WEB-BASED ENVIRONMENT FOR DOCUMENTATION AND SHARING OF ENGINEERING DESIGN KNOWLEDGE , 2008 .

[20]  A Framework Research of Power Grid Knowledge Recommendation and Situation Reasoning Based on Cloud Computing and CEP , 2016, 2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud).

[21]  Dazhong Wu,et al.  Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation , 2015, Comput. Aided Des..

[22]  Ratna Babu Chinnam,et al.  Product design and manufacturing process based ontology for manufacturing knowledge reuse , 2019, J. Intell. Manuf..

[23]  Huachao Mao,et al.  BOM-based design knowledge representation and reasoning for collaborative product development , 2016, Journal of Systems Science and Systems Engineering.

[24]  Zuhua Jiang,et al.  Distributed knowledge sharing for collaborative product development , 2011 .

[25]  Yuh-Jen Chen Knowledge integration and sharing for collaborative molding product design and process development , 2010, Comput. Ind..

[26]  Zuhua Jiang,et al.  Distributed recommender for peer-to-peer knowledge sharing , 2010, Inf. Sci..

[27]  Sujit Dey,et al.  Improving Scalability of Personalized Recommendation Systems for Enterprise Knowledge Workers , 2016, IEEE Access.

[28]  Robert I. M. Young,et al.  The application of common logic based formal ontologies to assembly knowledge sharing , 2015, J. Intell. Manuf..

[29]  James Gao,et al.  A methodology to facilitate knowledge sharing in the new product development process , 2007 .

[30]  Lu Zhen,et al.  Recommender systems for personal knowledge management in collaborative environments , 2012, Expert Syst. Appl..

[31]  Caroline Herssens,et al.  Knowledge-Based Recommendation Systems: A Survey , 2014, Int. J. Intell. Inf. Technol..

[32]  Åsa Ericson,et al.  Knowledge-Sharing Network for Product-Service System Development: Is it atypical? , 2013 .

[33]  James Gao,et al.  An overview of knowledge sharing in new product development , 2018 .

[34]  R. Handfield,et al.  Knowledge Sharing in Interorganizational Product Development Teams: The Effect of Formal and Informal Socialization Mechanisms* , 2009 .

[35]  Biju Yin,et al.  A Process-Oriented Design Knowledge Management Method , 2017 .

[36]  Huifen Wang,et al.  Intelligent knowledge recommending approach for new product development based on workflow context matching , 2016, Concurr. Eng. Res. Appl..

[37]  Zhendong Niu,et al.  Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning , 2017, Artificial Intelligence Review.