Abstract
Proposed in this paper is a modelling formalism, called the FMS control model, which is able to provide a detailed guideline for the implementation of the FMS control program (PLC program). Although, there are numerous simulation models for FMSs describing the system dynamics at the level of discrete event simulation, they cannot be fully utilised for the generation of a real control program involving sensors and actuators. Due to this, PLC programs for FMSs are usually done by the repetitive method of code writing, testing, and debugging until the control objectives are achieved. This is an error-prone and time-consuming task. The proposed FMS control model is described at the level of sensors and actuators. It can support the PLC program generation from the model. Since the FMS control model has been developed by expanding the DEVS formalism, it has a well-defined formalism. The proposed methodology has been implemented and test runs were made.
| Original language | English |
|---|---|
| Pages (from-to) | 1668-1679 |
| Number of pages | 12 |
| Journal | International Journal of Production Research |
| Volume | 51 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2013 Mar 15 |
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Keywords
- control program
- electrical implementation
- FMS
- FMS control
- PLC
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Management Science and Operations Research
- Strategy and Management
Cite this
New modelling formalism for control programs of flexible manufacturing systems. / Ko, Minsuk; Park, Sang C.; Choi, Jung Ju; Chang, Minho.
In: International Journal of Production Research, Vol. 51, No. 6, 15.03.2013, p. 1668-1679.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - New modelling formalism for control programs of flexible manufacturing systems
AU - Ko, Minsuk
AU - Park, Sang C.
AU - Choi, Jung Ju
AU - Chang, Minho
PY - 2013/3/15
Y1 - 2013/3/15
N2 - Proposed in this paper is a modelling formalism, called the FMS control model, which is able to provide a detailed guideline for the implementation of the FMS control program (PLC program). Although, there are numerous simulation models for FMSs describing the system dynamics at the level of discrete event simulation, they cannot be fully utilised for the generation of a real control program involving sensors and actuators. Due to this, PLC programs for FMSs are usually done by the repetitive method of code writing, testing, and debugging until the control objectives are achieved. This is an error-prone and time-consuming task. The proposed FMS control model is described at the level of sensors and actuators. It can support the PLC program generation from the model. Since the FMS control model has been developed by expanding the DEVS formalism, it has a well-defined formalism. The proposed methodology has been implemented and test runs were made.
AB - Proposed in this paper is a modelling formalism, called the FMS control model, which is able to provide a detailed guideline for the implementation of the FMS control program (PLC program). Although, there are numerous simulation models for FMSs describing the system dynamics at the level of discrete event simulation, they cannot be fully utilised for the generation of a real control program involving sensors and actuators. Due to this, PLC programs for FMSs are usually done by the repetitive method of code writing, testing, and debugging until the control objectives are achieved. This is an error-prone and time-consuming task. The proposed FMS control model is described at the level of sensors and actuators. It can support the PLC program generation from the model. Since the FMS control model has been developed by expanding the DEVS formalism, it has a well-defined formalism. The proposed methodology has been implemented and test runs were made.
KW - control program
KW - electrical implementation
KW - FMS
KW - FMS control
KW - PLC
UR - http://www.scopus.com/inward/record.url?scp=84871304188&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84871304188&partnerID=8YFLogxK
U2 - 10.1080/00207543.2012.693964
DO - 10.1080/00207543.2012.693964
M3 - Article
AN - SCOPUS:84871304188
VL - 51
SP - 1668
EP - 1679
JO - International Journal of Production Research
JF - International Journal of Production Research
SN - 0020-7543
IS - 6
ER -