Semantics for hierarchical task-network planning
Semantics for hierarchical task-network planning
The RAPPID Project: Symbiosis between Industrial Requirements and MAS Research
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Managing Concurrent Engineering Design Processes and Associated Knowledge
Proceedings of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering
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CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
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ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
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HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
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
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ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
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One way to make engineering design effective and efficient is to make its processes flexible i.e. self-adjusting, self-configuring, and self-optimizing at run time. This paper presents the descriptive part of the Dynamic Engineering Design Process (DEDP) modelling framework developed in the PSI project. The project aims to build a software tool to assist managers to analyse and enhance the productivity of the DEDPs through process simulations. The framework incorporates the models of teams and actors, tasks and activities as well as design artefacts as the major interrelated parts. DEDPs are modelled as weakly defined flows of tasks and atomic activities that may only “become apparent” at run time because of several presented dynamic factors. The processes are self-formed through the mechanisms of collaboration in the dynamic team of actors. These mechanisms are based on contracting negotiations. DEDP productivity is assessed by the Units of Welfare collected by the multi-agent system that models the design team. The models of the framework are formalized in the family of PSI ontologies.