Toward Smart Manufacturing Using Decision Analytics
Published in 2014 IEEE International Conference on Big Data (Big Data), 2014
Recommended citation: A. Brodsky, M. Krishnamoorthy, D. Menasce, G. Shao, and S.Rachuri, Toward Smart Manufacturing Using Decision Analytics. In Proceedings of the 2014 IEEE International Conference on Big Data, Washington DC. October 2014." https://doi.org/10.1109/BigData.2014.7004330
This paper is focused on decision analytics for smart manufacturing. We consider temporal manufacturing processes with stochastic throughput and inventories. We demonstrate the use of the recently proposed concept of the decision guidance analytics language to perform monitoring, analysis, planning, and execution tasks. To support these tasks we define the structure of and develop modular reusable process component models, which represent data, decision/control variables, computation of functions, constraints, and uncertainty. The tasks are then implemented by posing declarative queries of the decision guidance analytics language for data manipulation, what-if prediction analysis, decision optimization, and machine learning.
Recommended citation: A. Brodsky, M. Krishnamoorthy, D. Menasce, G. Shao, and S.Rachuri, Toward Smart Manufacturing Using Decision Analytics. In Proceedings of the 2014 IEEE International Conference on Big Data, Washington DC. October 2014.”