Intelligent knowledge recommending approach for new product development based on workflow context matching

To overcome the difficulty of workflow model selection in product design and the lack of a uniform description of product design quality information, this paper proposes a workflow model recommendation (WfMR) approach based on a design information model for product design process recommendation. By studying the design information of design documents in a workflow, an ontologybased hierarchical workflow design information ontology model (WfDOM) is established and visualized. Aiming to determine the common characteristics of WfDOM ontology instance nodes at the element level and structure level, this research studies similarity algorithms at the ontology element level and structure similarity algorithms. Based on the above research, a linear combination design information similarity integration strategy is proposed. At the same time, to find the optimal weight vector, a weight vector search approach based on workflow model selection history is studied, and the effectiveness of the proposed design information similarity algorithm is verified by an example.

“…(1) IKR: The intelligent knowledge recommending(IKR) approach [33] is an approach for ontology matching to carry out knowledge recommendation in the design process.…”

Section: Results Of the Experiments 1) The Influence Of Similaritymentioning

confidence: 99%

Workflow Model Recommendation Approach Based on a Design Information Model

Sheng

Luo

et al. 2019

“…Mishra et al [54] have developed a system that considers the sequential information present in Web navigation patterns, along with content information. Liu et al [55] present an intelligent knowledge recommending approach for new product development based on workflow context matching. Song et al [56] use Gantt charts to describe the time-sequence relationship in the knowledge recommendation process.…”

Section: ) Knowledge Recommendation Modelmentioning

confidence: 99%

Product Development-Oriented Knowledge Service: Status Review, Framework, and Solutions

Ming

Lin

et al. 2020

The product development knowledge stored in manufacturing firms can be obtained and re-used to assist the development engineers in new product development and facilitate the use of knowledge resources, which in turn enhances the quality and reduces the time-cost of product innovation. This study presents a knowledge service integrated framework for product development, which is refined from the literature and supported by practice needs. The proposed integrated framework is supported by four pillars of work, namely, how to represent knowledge exactly, the model of knowledge integration, the method of knowledge recommendation, and the mechanism and performance evaluation of knowledge service. A demonstration of a gantry crane design is provided to show the effectiveness and benefit of the proposed integrated framework and technology solutions. Finally, we offer some pointers for future research.

“…Mishra et al [38] propose a knowledge recommender system considering sequential information present. Liu et al [39] propose a workflow-based context matching method to evaluate relationship between workflow contexts and exploit it for knowledge recommendation. Song and Zhan [40] develop the knowledge recommendation process by using a Gantt chart to show the time-sequence relationship.…”

Section: Related Workmentioning

confidence: 99%

Process Knowledge Recommendation System for Mechanical Product Design

Liu³

2020

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 VSMbased(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.