In the past, the proposed
concept-the application of informatics for robot operations-was difficult to
implement due to technological limitations. With the advancement of ICT
technologies, the production robots can be integrated within the information
network, and the critical data can be processed to reveal the very important
information. From the information, better managerial decisions are expected
that will ultimately contribute to the organizations’ efficiency and competitiveness.
In this context, this study explains the merits of quality informatics in the
domain of networked robots that are the essential tools for the global
production companies. Even though this study merely presents the outcome of
robot joint replacement period estimation, the foreseeable advantages of using
the proposed method can be numerous. The future environment of global business
will even push the boundaries of multinational, distributed production systems,
and accelerate the implementation at a faster rate. Accordingly, the brand
value of the product is expected to be greater than the country of the
manufacturing. The survival of the company will be dependent on the optimized
quality level that is encompassing the entire distributed production systems
located throughout the whole. Under such circumstances, it can be foreseeable
that the innovative ideas and the smart application of advanced technologies
should be the priority.
[1]
Committee on Visionary Manufacturing (1998) Visionary Manufacturing Challenges for 2020. National Academic Press, Washington DC.
[2]
Shi, J.J. and Zhou, S.Y. (2009) Quality Control and Improvement for Multistage Systems: A Survey. IIE Transactions, 41, 744-753.
http://dx.doi.org/10.1080/07408170902966344
[3]
Chan, H.K. (2011) Supply Chain Systems: Recent Trend in Research and Applications. IEEE Systems Journal, 5, 2-5.
http://dx.doi.org/10.1109/JSYST.2010.2100191
[4]
Stepanskiy, L. and Kwon, Y. (2010) Modeling of Robot Availability for the Network-Controllable Production System, Journal of Concurrent Engineering: Research & Applications, 18, 303-310.
http://dx.doi.org/10.1177/1063293X10389800
[5]
Sarkisov, L. and Kim, J. (2013) Computational Structure Characterization Tools for the Era of Material Informatics. Special Issue on Molecular Modelling in Chemical Engineering, 121, 322-330.
