Cognitively automated assembly processes: a simulation based evaluation of performance.
The numerical control of an experimental assembly cell with two robots - termed a cognitive control unit (CCU) - is able to simulate human information processing at a rule-based level of cognitive control. To enable the CCU to work on a large range of assembly tasks expected of a human operator, the...
| Published in: | Work Vol. 41; pp. 3449 - 3455 |
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| Main Authors: | , , , , , |
| Format: | tables/charts Journal Article |
| Published: |
Sage Publications Inc.
2012 Supplement
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104522801&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104522801 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10519815 3RC jtl: Work issn: 10519815 maglogo: N pubinfo: dt: 2012 Supplement vid: 41 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 104522801 71928436 10.3233/wor-2012-0623-3449 104522801 ppf: 3449 ppct: 6 formats: fmt: @attributes: type: P tig: atl: Cognitively automated assembly processes: a simulation based evaluation of performance. aug: au: Soares, Marcelo M. Jacobs, Karen Mayer, Marcel Ph. Odenthal, Barbara Faber, Marco Schlick, Christopher M. affil: Institute for Industrial Engineering and Ergonomics at RWTH Aachen University, Bergdriesch 27, 52064 Aachen, Germany sug: subj: Cognition Automation Simulations Job Performance Robotics Software Human Productivity ab: The numerical control of an experimental assembly cell with two robots - termed a cognitive control unit (CCU) - is able to simulate human information processing at a rule-based level of cognitive control. To enable the CCU to work on a large range of assembly tasks expected of a human operator, the cognitive architecture SOAR is used. The CCU can plan assembly processes autonomously and react to ad-hoc changes in assembly sequences effectively. Extensive simulation studies have shown that cognitive automation based on SOAR is especially suitable for random parts supply, which reduces planning effort in logistics. Conversely, a disproportional increase in processing time was observed for deterministic parts supply, especially for assemblies containing large numbers of identical parts. In this contribution, the effect of phase-shifts in deterministic part supply is investigated for assemblies containing maximal different parts. It can be shown that the concept of cognitive automation is as well suitable for these planning problems. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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