Paper:
Language: English:
Supporting Lifecycle Management of Product Data by Organized Descriptions and Behavior Definitions of Engineering Objects
László Horváth
Institute of Intelligent Engineering Systems, John von Neumann Faculty of Informatics, Budapest Tech Polytechnical Institution, Bécsi u. 96/b, Budapest, H-1034, Hungary
Received: March 19, 2007
Accepted: June 14, 2007
Keywords: product lifecycle management, product modeling, virtual intelligent space, behavior based methods, change management
Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11, No.9 pp. 1107-1113, 2007
Abstract
Engineering for design, analysis, and manufacturing planning of products has been integrated with other product related engineering activities such as control of manufacturing equipment, marketing, sales and customer services in product lifecycle management systems (PLM). This challenging complex of activities would be impossible without the support of recent information technology (IT). Descriptions of various engineering objects have been integrated into very complex product models. Main area of development in the next future is enhanced assistance of decisions in product modeling. Approach to high level of modeling and application of the highly integrated product model for simulation will be the virtual intelligent space where all outside and inside effects are reacted. In order to join this tendency, this paper introduces a methodology for integrated application of analysis of behaviors of modeled objects, adaptive actions for controlled modifications of engineering objects, and definition of optimal sets of parameters. In order to establish a virtual intelligent space, sensor signals in physical intelligent space are replaced by received change information and actuators are replaced by adaptive actions. In this paper, new concept of intelligent virtual product space (IVPS) as integrated description of physical product and other objects and processes is introduced. Following this, a method is proposed to include computational intelligence in product models in the form of control of behaviors of modeled product objects. Change management methods are explained in close connection with behavior analysis. Finally, some methods for control of the work of a virtual intelligent product space are detailed.
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