Science of Computer Programming - Special issue on quality system and software architectures
Multi-agent Software Tool for Management of Design Process in Microelectronics
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Holonic Simulation of a Design System for Performance Analysis
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
Managing Concurrent Engineering Design Processes and Associated Knowledge
Proceedings of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering
An agent-oriented model of a dynamic engineering design process
AOIS'05 Proceedings of the 7th international conference on Agent-Oriented Information Systems III
Design entropy concept: a measurement for complexity
CODES+ISSS '11 Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
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Business performance management today does not possess a rigorous and grounded engineering methodology capable of delivering reliably measured values to backing up decision making. Much more it is the art of executive gurus who listen to their backbone experience and take their decisions using intuitive and heuristic approaches. This vagueness appears to be one of the main reasons for current dissatisfaction in industry. In this paper we express our vision of how a rigorous engineering methodology for business performance management in engineering design may look like. Our research work in PSI and PRODUKTIV+ projects strongly suggests that the underlying modeling framework has to be holonic. We consider that the solution has to: (i) be based on a sound Domain ontology of performance; (ii) use dynamic distributed planning technique and simulations to predict the performance of a design system; (iii) use the methodology which is sensitive to the specificities of a particular design system.