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Characterization of continuous precise workload control and analysis of idleness penalty
•An agent based workload control method is developed.•Distinguishing characteristics are highlighted.•Release decisions are taken on a continuous time basis with precise load graphs.•Successful regulation of workload is achieved. The variability in the market conditions is growing in terms of its fr...
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Published in: | Computers & industrial engineering 2016-12, Vol.102, p.351-358 |
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container_title | Computers & industrial engineering |
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creator | Akillioglu, Hakan Dias-Ferreira, Joao Onori, Mauro |
description | •An agent based workload control method is developed.•Distinguishing characteristics are highlighted.•Release decisions are taken on a continuous time basis with precise load graphs.•Successful regulation of workload is achieved.
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 highly 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 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) the presented workload approach is defined in terms of eight dimensions of the workload control concept in order to highlight its distinctive characteristics and (2) the impact of idleness penalty factor is analyzed by an experiment design in order to investigate its effect on the job release decision. The results show that the idleness penalty factor decreases the idleness of the resources up to a point where the adverse effect is initiated. |
doi_str_mv | 10.1016/j.cie.2016.06.026 |
format | article |
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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 highly 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 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) the presented workload approach is defined in terms of eight dimensions of the workload control concept in order to highlight its distinctive characteristics and (2) the impact of idleness penalty factor is analyzed by an experiment design in order to investigate its effect on the job release decision. 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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 highly 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 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) the presented workload approach is defined in terms of eight dimensions of the workload control concept in order to highlight its distinctive characteristics and (2) the impact of idleness penalty factor is analyzed by an experiment design in order to investigate its effect on the job release decision. The results show that the idleness penalty factor decreases the idleness of the resources up to a point where the adverse effect is initiated.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.cie.2016.06.026</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-6607-9634</orcidid></addata></record> |
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subjects | Decisions Dynamical systems Experiment design Idleness penalty Impact analysis Industrial engineering Job release Platforms Real time Workload Workload control |
title | Characterization of continuous precise workload control and analysis of idleness penalty |
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