A monitoring and control framework for lost foam casting manufacturing processes using genetic programming
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- @Article{journals/ijbic/ShetaRA12,
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author = "Alaa F. Sheta and Peter Rausch and Alaa S. Al-Afeef",
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title = "A monitoring and control framework for lost foam
casting manufacturing processes using genetic
programming",
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journal = "International Journal of Bio-Inspired Computation",
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year = "2012",
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number = "2",
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volume = "4",
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pages = "111--118",
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keywords = "genetic algorithms, genetic programming, electrical
capacitance tomography, ECT, process tomography, image
reconstruction, quality management, lost foam casting,
process monitoring, process control, manufacturing
industry, production activity control, PAC, enterprise
resource planning, ERP, business intelligence",
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DOI = "doi:10.1504/IJBIC.2012.047182",
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ISSN = "1758-0374",
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URL = "https://sites.google.com/site/alaaalfeef/home/IJBIC040206_RAUSCH.pdf?attredirects=0&d=1",
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size = "8 pages",
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abstract = "Monitoring and control of manufacturing processes is
an essential part of any industry. Being able to
collect sensor measurements, analyse the measurements
in an intelligent way, select appropriate actions and
validate the desired results of these actions is a
tremendous goal to be achieved. In this paper, we
propose a monitoring and control framework of a
multi-tier closed-loop controlling lost foam casting
(LFC) system. The proposed system consists of several
subsystems like production activity control (PAC),
enterprise resource planning (ERP), and business
intelligence (BI). Another essential part of the system
is the electrical capacitance tomography (ECT)
subsystem. This subsystem is in charge of collecting
measurements from the LFC process, develops an
evolutionary model-based genetic programming (GP) of
the process and reconstructs an image of the casting
process. The proposed framework can be used to improve
the quality of manufacturing processes and to enhance
process reliability which, as a result, will increase
companies' profit. The proposed framework can be
extended to a variety of applications.",
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notes = "Computer Science Department, Faculty of Information
Technology, The World Islamic Science and Education
(WISE) University, P.O. Box 1101, Amman 11947,
Jordan.",
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bibdate = "2012-06-11",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/ijbic/ijbic4.html#ShetaRA12",
- }
Genetic Programming entries for
Alaa Sheta
Peter Rausch
Alaa Al-Afeef
Citations