Title :
Network distributed virtual design using coevolutionary agents
Author :
Subbu, Raj ; Sanderson, Arthur C.
Author_Institution :
Dept. of Electr., Comput., & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
In an increasingly networked global marketplace, products and services are seldom created in isolation and are instead being realized through strategic and dynamic partnerships between suppliers, contract manufacturers, and customers. Superior design-supplier-manufacturing decisions are critical to the survival of enterprises that seek to compete in this environment. A novel evolutionary decision support framework (coevolutionary virtual design environment) particularly suited to distributed network-enabled organizations is introduced. In this framework an electronic interchange of design, supplier, and manufacturing information facilitates concurrent, network distributed decision-making based on evolutionary computation. The approach utilizes distributed evolutionary agents and mobile agents as principal entities that support a network-efficient exploration of planning alternatives in which successive populations systematically select planning alternatives that reduce cost and increase throughput.
Keywords :
CAD; decision support systems; evolutionary computation; multi-agent systems; printed circuit manufacture; production control; coevolutionary agents; coevolutionary virtual design environment; concurrent network distributed decision-making; contract manufacturers; customers; distributed evolutionary agents; distributed network-enabled organizations; dynamic partnerships; evolutionary decision support framework; global marketplace; mobile agents; network distributed virtual design; strategic partnerships; suppliers; Collaborative software; Computer aided manufacturing; Computer networks; Consumer electronics; Contracts; Costs; Decision making; Distributed computing; Economic indicators; Mobile agents;
Conference_Titel :
Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on
Print_ISBN :
0-7803-6576-3
DOI :
10.1109/ROBOT.2001.932652