Name
Abstract | ||
|---|---|---|
An innovative Big Data enabled Intelligent Immune System (1
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S) has been developed to address manufacturing dynamics over life cycles to achieve sustainable manufacturing. The 1
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S is a novel inter-disciplinary integrated system of the artificial immune mechanism, the Wireless Sensor Network (WSN)-based Cyber Physical System (CPS), Artificial Neural Networks (ANNs) and sustainable manufacturing scheduling optimization algorithm. Abnormal energy consumption patterns of manufactured components from monitored Big Data are identified using ANNs. An intelligent immune mechanism is devised to adapt to the pattern/condition changes of machine tool systems and process dynamics. A rescheduling algorithm is triggered if abnormal manufacturing conditions are detected thereby achieving adaptive multiobjective optimization of energy consumption and manufacturing performance. Computer Numerical Controlled (CNC) machining processes have been used for system validation via industrial deployment into multiple machine lines in manufacturing factories. Around 30% in energy saving and over 50% in productivity improvement have been achieved by adopting 1
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S. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/CSCWD.2018.8465214 | 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD)) |
Keywords | Field | DocType |
Big Data,Intelligent immune system,Manufacturing sustainability | Scheduling (computing),Computer science,Machining,Multi-objective optimization,Control engineering,Cyber-physical system,Artificial neural network,Wireless sensor network,Energy consumption,Distributed computing,Machine tool | Conference |
ISBN | Citations | PageRank |
978-1-5386-1483-9 | 0 | 0.34 |
References | Authors | |
2 | 2 | |