DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee K.J. | ko |
dc.contributor.author | Chang Y.S. | ko |
dc.contributor.author | Choi H.R. | ko |
dc.contributor.author | Kim H.S. | ko |
dc.contributor.author | Park Y.J. | ko |
dc.contributor.author | Park B.J. | ko |
dc.date.accessioned | 2013-03-03T10:50:00Z | - |
dc.date.available | 2013-03-03T10:50:00Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2004 | - |
dc.identifier.citation | JOURNAL OF ORGANIZATIONAL COMPUTING AND ELECTRONIC COMMERCE, v.14, no.1, pp.27 - 41 | - |
dc.identifier.issn | 1091-9392 | - |
dc.identifier.uri | http://hdl.handle.net/10203/78399 | - |
dc.description.abstract | Virtual manufacturing has 2 characteristics as an agent-based electronic commerce environment: dynamic nature of resource status and variety of agents' decision-making (i.e., scheduling) model. To reflect the characteristics, a relevant negotiation protocol should be designed and an appropriate decision-making model should be developed. In this article, from the perspective of a sales agent that is a middle man between customers and manufacturers in a virtual manufacturing environment, we provide a case study that suggests a time-bound framework for external negotiation between sales agents and customer agents, and internal cooperation between sales agents and manufacturing agents. We assume a job shop as the production model of a virtual manufacturing enterprise and formulate the optimal order selection problem with mixed integer programming, but its computation time is not acceptable for real-world problems. For this time-constrained decision making, we develop a genetic algorithm as an any-time problem-solving method for the scheduling of the production model, which shows a reasonable computation time for real-world cases and good incremental problem-solving capability. | - |
dc.language | English | - |
dc.publisher | LAWRENCE ERLBAUM ASSOC INC | - |
dc.subject | ALGORITHMS | - |
dc.title | A time-bound framework for negotiation and decision making of virtual manufacturing enterprise | - |
dc.type | Article | - |
dc.identifier.wosid | 000220184900002 | - |
dc.identifier.scopusid | 2-s2.0-1642618955 | - |
dc.type.rims | ART | - |
dc.citation.volume | 14 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 27 | - |
dc.citation.endingpage | 41 | - |
dc.citation.publicationname | JOURNAL OF ORGANIZATIONAL COMPUTING AND ELECTRONIC COMMERCE | - |
dc.identifier.doi | 10.1207/s15327744joce1401_2 | - |
dc.contributor.localauthor | Chang Y.S. | - |
dc.contributor.nonIdAuthor | Lee K.J. | - |
dc.contributor.nonIdAuthor | Choi H.R. | - |
dc.contributor.nonIdAuthor | Kim H.S. | - |
dc.contributor.nonIdAuthor | Park Y.J. | - |
dc.contributor.nonIdAuthor | Park B.J. | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | virtual manufacturing enterprise | - |
dc.subject.keywordAuthor | time-bound negotiation | - |
dc.subject.keywordAuthor | multiagent negotiation | - |
dc.subject.keywordAuthor | genetic algorithm | - |
dc.subject.keywordAuthor | incremental problem solving | - |
dc.subject.keywordPlus | ALGORITHMS | - |
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