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| Engineering Design & Optimization Group |
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332 Leonhard Building Penn State University University Park, PA 16802 (814) 863-7523 |
A collaborative effort by faculty in: Mechanical & Nuclear Engineering and Industrial & Manufacturing Engineering |
  
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| About | Jyotirmaya Nanda | ||||||
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Title: Graduate Student (PhD)
Department: Industrial and Manufacturing Engineering (since Fall 2000) Office: 332 Leonhard Building Phone: (814) 863-7523 Fax: (814) 863-4745 E-mail: jxn903@psu.edu Project Title: A Framework for Product Platform Knowledge Management using the Semantic Web Paradigm Project Supervisor: Dr. Tim Simpson Project Description: The new form of competitive advantage for many companies in today's highly competitive global market is platform-based product development and customization. For many engineered products, one of the most critical business processes is managing product data over the entire product lifecycle. The design information captured by heterogeneous software systems in proprietary data structures makes it difficult to index, search, refine, reuse, distribute and browse design artifacts across different organizational information systems. This research proposes to develop a product platform knowledge management system using the semantic web paradigm to augment the features and address limitations associated with current product design repositories. A formal product representation using the semantic web paradigm can store the structure of the product platform, help in capturing the evolution of different components of the product family, and provide machine processable design information to facilitate predictable platform-based product development and customization. The proposed research focuses on (1) representation of product design information, (2) analysis of the design information from a product platform perspective, and (3) presentation of the design information along with the analysis using custom applications. Product families will be represented using the web ontology language (OWL), a frame-based description logic system with well defined first-order semantics, to develop the knowledge base. To demonstrate the product platform analysis capability and to identify platform leveraging strategies, various commonality indices from the literature will be applied to the knowledge base to compare product families derived from different product platforms. A web-based computational framework will also be developed to share both explicit (codified) and tacit (unarticulated) product platform knowledge for product platform designers across an enterprise. The design of one-time-use cameras and sets of power tool will serve as prototypes for verifying and validating the proposed product platform knowledge management framework. Project Sponsor: NSF
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