TY - JOUR
T1 - Complexity metrics for manufacturing control architectures based on software and information flow
AU - Phukan, Areejit
AU - Kalava, Manoj
AU - Prabhu, Vittal
N1 - Funding Information:
This work was partially supported by National Science Foundation Grants DMI-9908267 and DMI-0075572, and Ben Franklin Technology Partnership through Penn State's Center for Manufacturing Enterprise Integration.
PY - 2005/8
Y1 - 2005/8
N2 - A number of architectures can be used to integrate different components of a manufacturing enterprise such as machine tools, robots, and guided vehicles. The choice of architecture has a significant impact on system complexity, which in turn determines properties such as scalability, flexibility, fault-tolerance and modifiability. There is a need to develop metrics that quantify the complexity of a system that can serve as a means for comparing alternative architecture at the design stage. In this paper, we propose metrics used in software engineering to characterize the complexity of manufacturing systems. These metrics have been applied for measuring the complexity of two software systems: material delivery system and distributed scheduling.
AB - A number of architectures can be used to integrate different components of a manufacturing enterprise such as machine tools, robots, and guided vehicles. The choice of architecture has a significant impact on system complexity, which in turn determines properties such as scalability, flexibility, fault-tolerance and modifiability. There is a need to develop metrics that quantify the complexity of a system that can serve as a means for comparing alternative architecture at the design stage. In this paper, we propose metrics used in software engineering to characterize the complexity of manufacturing systems. These metrics have been applied for measuring the complexity of two software systems: material delivery system and distributed scheduling.
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U2 - 10.1016/j.cie.2005.01.005
DO - 10.1016/j.cie.2005.01.005
M3 - Article
AN - SCOPUS:23144433430
SN - 0360-8352
VL - 49
SP - 1
EP - 20
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
IS - 1
ER -