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Characterization of Continuous Precise Workload Control and Analysis of Idleness Penalty
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.ORCID iD: 0000-0002-0006-283X
2014 (English)In: CIE 44 and IMSS14 proceedings, 2014, 1998-2011 p.Conference paper, Published paper (Refereed)
Abstract [en]

The variability in the market conditions is growing in terms of its frequency of change and range of diversity. In response to this new industrial panorama, research on production systems is aiming to achieve truly reconfigurable shop floors. Frequent changes in such systems require also frequent re-planning with updated information. In this regard the Continuous Precise Workload Control method, is a recent approach aiming at precise control of workload in the shop floor with the use of direct load graphs. Supported by a multi-agent platform, it generates dynamic non-periodic release decisions exploiting real time shop floor information. The study in this paper is two folded; (1) in order to highlight its distinctive characteristics, the presented workload approach is defined in terms of eight dimensions of the workload control concept and (2) the penalty of idleness which affects the decision of release is analyzed by an experiment design in order to investigate its correlation with two critical parameters, norm value and assessment range. The results show that the idleness penalty factor decreases the idleness of the resources up to a point where the adverse effect is initiated. Besides there are strong indications towards the correlation of idleness penalty factor with the norm value.

Place, publisher, year, edition, pages
2014. 1998-2011 p.
Keyword [en]
Workload control, idleness penalty, multi-agent systems
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Engineering and Management
Identifiers
URN: urn:nbn:se:kth:diva-156048DOI: 10.13140/2.1.4103.1369Scopus ID: 2-s2.0-84923878714OAI: oai:DiVA.org:kth-156048DiVA: diva2:764229
Conference
Joint Symposium on Intelligent Manufacturing and Service Systems '14 & Computers and Industrial Engineering '44
Funder
XPRES - Initiative for excellence in production research
Note

QC 20150203

Available from: 2014-11-18 Created: 2014-11-18 Last updated: 2015-12-01Bibliographically approved

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Onori, Mauro

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