A Knowledge Based Approach to Facilitate Enginering Design

This paper presents a knowledge-based approach to facilitate the engineering design process relating to spacecrafts. Because the design evolves over a long time and typically involves individuals working at different locations and frequently for different organizations, the degree of collaboration across temporal and spatial boundaries plays a major role in determining the aggregate time and cost involved in each instance of spacecraft design. A major aspect of such collaboration is the issue of communications €O the ability to clearly and efficiently explicate and record the detailed needs of every stakeholder in the process, as well as the major design decisions and the rationale behind these decisions. The approach described in this paper provides a framework for facilitating the decision-making process in engineering design, by eliciting and capturing the goals and requirements of every stakeholder in the design process through utility and expense functions. An interactive system has been designed that incorporates a four faceted knowledge-based framework of knowledge acquisition, knowledge discovery, knowledge management and knowledge dissemination to provide designers and stakeholders with the capability to develop an evolving knowledge repository about all aspects of the design process. This interactive system includes the ability to capture succeeding versions of the detailed design, with zero or minimal human involvement; the capability is provided by a set of algorithms collectively named as SSPARCy. A complimentary tool, called MIST, facilitates the Multi-Attribute Tradespace Exploration process by enabling stakeholders to express their goals and preferences in a formalized manner. The combination of MIST and SSPARCy paradigms enables one to transform crucial applications that are today contingent on geographical proximity to occur with equal or superior effectiveness in a virtual world. While this paper analyzes a situation involving engineering design of spacecrafts, the proposed knowledge-based approach can be readily adopted to facilitate other applications that involve sustained collaboration across geographic and corporate boundarie

[1]  April Gillam,et al.  A Paradigm Shift in Conceptual Design , 2000 .

[2]  William A. Wulf,et al.  Capturing design rationale in concurrent engineering teams , 1993 .

[3]  April Gillam Vehicles knowledge-based design environment , 1993 .

[4]  Daniel E. Hastings,et al.  Multi-Attribute Tradespace Exploration as Front End for Effective Space System Design , 2004 .

[5]  Philippe Delquié,et al.  Stated vs Implicit Willingness to Pay Under Risk , 1995 .

[6]  Ram D. Sriram,et al.  Conflict mitigation system for collaborative engineering , 1995, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[7]  Frederik W. Jansen,et al.  THE APPLICATION OF AI AND GEOMETRIC MODELLING TECHNIQUES IN CONCEPTUAL AIRCRAFT DESIGN , 1998 .

[8]  Chie-Bein Chen,et al.  An automated system for product specification and design , 2000 .

[9]  Nathan P. Diller,et al.  Utilizing Multiple Attribute Tradespace Exploration with Concurrent Design for creating aerospace systems requirements , 2002 .

[10]  Richard de Neufville,et al.  APPLIED SYSTEMS ANALYSIS: ENGINEERING PLANNING AND TECHNOLOGY MANAGEMENT , 1990 .

[11]  Hugh McManus,et al.  CREATING ADVANCED ARCHITECTURES FOR SPACE SYSTEMS: PRODUCT AND PROCESS , 2001 .

[12]  Wang Xin,et al.  Supporting design reuse based on integrated design rationale , 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

[13]  Jonathan Aseltine WAVE: An Incremental Algorithm for Information Extraction , 1999 .

[14]  Daniel E. Hastings,et al.  New Methods for Rapid Architecture Selection and Conceptual Design , 2004 .

[15]  Ram D. Sriram,et al.  Design Repositories: Engineering Design's New Knowledge Base , 2000, IEEE Intell. Syst..

[16]  Kathryn M. Chalfan,et al.  A Knowledge System that Integrates Heterogeneous Software for a Design Application , 1986, AI Mag..

[17]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[18]  Rudolf K. Keller,et al.  Pattern-based reverse-engineering of design components , 1999, Proceedings of the 1999 International Conference on Software Engineering (IEEE Cat. No.99CB37002).

[19]  Amar Gupta A four-faceted knowledge-based approach to surmounting borders , 2001, J. Knowl. Manag..

[20]  Johnny Medina,et al.  NASA Goddard Space Flight Center Virtual System Design Environment , 2001, 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542).

[21]  Quincy R. Scott SSPARCy : a software integration support and design rationale capture system , 2001 .