Hierarchical Concurrent Engineering in a Multiagent Framework
dc.contributor.author | D'Ambrosio, Joseph | en_US |
dc.contributor.author | Darr, Timothy P. | en_US |
dc.contributor.author | Birmingham, William | en_US |
dc.date.accessioned | 2010-04-13T20:16:11Z | |
dc.date.available | 2010-04-13T20:16:11Z | |
dc.date.issued | 1996 | en_US |
dc.identifier.citation | D'Ambrosio, Joseph; Darr, Timothy; Birmingham, William (1996). "Hierarchical Concurrent Engineering in a Multiagent Framework." Concurrent Engineering 4(1): 47-57. <http://hdl.handle.net/2027.42/68258> | en_US |
dc.identifier.issn | 1063-293X | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/68258 | |
dc.description.abstract | Our experience indicates coordination in concurrent engineering (CE) requires support for two types of relationships among decision makers supervisor/subordinate and peer-to-peer Supervisor/subordinate relationships are created by the standard hierarchical decomposition process that is required to solve any large design problem Peer-to-peer relationships arise when teams of decision makers must interact, without direct guidance, to achieve individual and common goals In this paper, we describe a general decision-making methodology, which we call hierarchical CE The emphasis of hierarchical CE is to provide support for both supervisor/subordinate and peer-to-peer relationships In addition to the concept of hierarchical CE, we present a supporting agent-based framework in which the preferences and constraints of a design supervi sor are distributed to design subordinates, who are expected to exploit their local expertise within the context provided by this global information A distinct separation between feasibility and value facilitates optimal decision-making by design agents, since the bounds on feasibility do not include arbitrary statements about value This distinction may prove useful for other problem domains as well | en_US |
dc.format.extent | 3108 bytes | |
dc.format.extent | 1087710 bytes | |
dc.format.mimetype | text/plain | |
dc.format.mimetype | application/pdf | |
dc.publisher | Sage Publications | en_US |
dc.subject.other | Concurrent Engineering | en_US |
dc.subject.other | Value Function | en_US |
dc.subject.other | Distributed Constrant Satisfaction | en_US |
dc.subject.other | Multilevel Optimization | en_US |
dc.subject.other | Agents | en_US |
dc.subject.other | Hierarchical Decomposition | en_US |
dc.title | Hierarchical Concurrent Engineering in a Multiagent Framework | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Engineering (General) | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Artificial Intelligence Lab, EECS Department, The University of Michigan, Ann Arbor, MI 48109 | en_US |
dc.contributor.affiliationum | Artificial Intelligence Lab, EECS Department, The University of Michigan, Ann Arbor, MI 48109 | en_US |
dc.contributor.affiliationum | Artificial Intelligence Lab, EECS Department, The University of Michigan, Ann Arbor, MI 48109 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/68258/2/10.1177_1063293X9600400105.pdf | |
dc.identifier.doi | 10.1177/1063293X9600400105 | en_US |
dc.identifier.source | Concurrent Engineering | en_US |
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dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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