Product family design knowledge representation, aggregation, reuse, and analysis

Jyotirmaya Nanda · Henri J. Thevenot · Timothy W. Simpson · Robert B. Stone · Matt R. Bohm · Steven B. Shooter

51 citations0/0 files storedArtificial intelligence for engineering design analysis and manufacturing

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Product Development and Customization Semantic Web and Ontologies Advanced Software Engineering Methodologies

Abstract

A flexible information model for systematic development and deployment of product families during all phases of the product realization process is crucial for product-oriented organizations. In current practice, information captured while designing products in a family is often incomplete, unstructured, and is mostly proprietary in nature, making it difficult to index, search, refine, reuse, distribute, browse, aggregate, and analyze knowledge across heterogeneous organizational information systems. To this end, we propose a flexible knowledge management framework to capture, reorganize, and convert both linguistic and parametric product family design information into a unified network, which is called a networked bill of material (NBOM) using formal concept analysis (FCA); encode the NBOM as a cyclic, labeled graph using the Web Ontology Language (OWL) that designers can use to explore, search, and aggregate design information across different phases of product design as well as across multiple products in a product family; and analyze the set of products in a product family based on both linguistic and parametric information. As part of the knowledge management framework, a PostgreSQL database schema has been formulated to serve as a central design repository of product design knowledge, capable of housing the instances of the NBOM. Ontologies encoding the NBOM are utilized as a metalayer in the database schema to connect the design artifacts as part of a graph structure. Representing product families by preconceived common ontologies shows promise in promoting component sharing, and assisting designers search, explore, and analyze linguistic and parametric product family design information. An example involving a family of seven one-time-use cameras with different functions that satisfy a variety of customer needs is presented to demonstrate the implementation of the proposed framework.

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References

2018PRODUCT DESIGN AND DEVELOPMENT 2000Product Design: Techniques in Reverse Engineering and New Product Development 2004Product Lifecycle Management 2004Product platform design and customization: Status and promise 2003Knowledge management technologies and applications—literature review from 1995 to 2002 1981THE MEASUREMENT AND OPERATING BENEFITS OF COMPONENT PART COMMONALITY 1997Design for Variety: Development of Complexity Indices and Design Charts 1998A Metric for Evaluating Design Commonality in Product Families

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2009Service representation for capturing and reusing design knowledge in product and service families using object-oriented concepts and an ontology 2008A methodology for knowledge discovery to support product family design 2012New dependency model and biological analogy for integrating product design for variety with market requirements 2019Progressive modelling of feature-centred product family development 2013Product Family Design Through Ontology-Based Faceted Component Analysis, Selection, and Optimization

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