Abstract
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 ontology-based 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.
Highlights
With the wide application of business process management (BPM) technology in product design, the growth rate of the number of business processes and products in product data management (PDM) will far exceed the processing speed of designers
Enterprises will face difficulties in BPM and PDM [1].To improve the efficiency of design documents entering the workflow model and to make engineers concentrate on the standardization of product design and the normalization of design information, it is necessary to recommend an appropriate workflow model for design documents
In view of the research reviewed above based on the lack of a standardized description of product design information and the difficulty of workflow model recommendation (WfMR) in the actual situation of product design in enterprises, this paper innovatively proposes a WfMR approach based on ontology matching of design information model
Summary
With the wide application of business process management (BPM) technology in product design, the growth rate of the number of business processes and products in product data management (PDM) will far exceed the processing speed of designers. Feng and Zongliang [20] proposed using the ordered weight averaged (OWA) algorithm to determine the weight of the impact factor, and optimized the matching results using the shuffled frog leaping algorithm (SFLA) to obtain the effective value of ontology matching This approach is applicable to solving a single objective function and only considers the similarity calculation of text types. In view of the research reviewed above based on the lack of a standardized description of product design information and the difficulty of WfMR in the actual situation of product design in enterprises, this paper innovatively proposes a WfMR approach based on ontology matching of design information model. The mathematical model of the WfMR algorithm consists of a similarity calculation approach for entity nodes, an optimal weight vector search approach and a similarity integration approach based on ontology matching. Where FunctionalRelatedAttr stores the functional information of products or parts belonging to data objects, including sub-attributes such as the part number, part name and part function; StructuralRelatedAttr stores the location information of the nodes in the product structure tree of the parts to which the data object belongs; ContentRelatedAttr stores the information of files similar to the content of the data file and includes sub-attributes such as the similar file type, similar file ID and similarity value; and SourceRelatedtAttr stores the information of other structured data, unstructured data and semi-structured data files described as the same product object
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