Intelligent Manufacturing System for Next Generation Factories

DOI

10.2991/mse-15.2016.3How to use a DOI?

Keywords

intelligent systems; intelligent design, scheduling, maintenance, and control, energy conservation;

Abstract

Manufacturing factories are always in pursuit of achieving higher productivity in order to satisfy the growing demands of the consumers but are often meet with challenges in achieving these goals due to various complexities. These complexities arise from the limitations of human operator's i.e. their inability to handle uncertainties, complexity, and understand/memorize large data. Intelligent manufacturing systems are positioned to yield superior results than traditional manufacturing as they are capable of analyzing, self-learning, apprehending complexity, and self-driven for quality and cost. Unlike traditional manufacturing, intelligent manufacturing systems are also able to store and analyze large amounts of production data in order to achieve higher production rate and shorten the time-to-market. This keynote is to provide a longitudinal perspective on various aspects of recent achievements in intelligent design, scheduling, maintenance, and control. For each aspect, concept, requirement, and application implemented, methodologies deployed are also presented along with their limitations and future research directions. This keynote also presents fundamental concepts and futuristic views that the authors are currently implementing in an intelligent manufacturing system for factories next-generations.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - M. Rajora
AU  - P. Zou
AU  - S. Y. Liang
PY  - 2016/03
DA  - 2016/03
TI  - Intelligent Manufacturing System for Next Generation Factories
BT  - Proceedings of the 2015 International Conference on Mechanical Science and Engineering
PB  - Atlantis Press
SP  - 12
EP  - 19
SN  - 2352-5401
UR  - https://doi.org/10.2991/mse-15.2016.3
DO  - 10.2991/mse-15.2016.3
ID  - Rajora2016/03
ER  -