DATA ANALYTICS USING SIMULATION FOR SMART MANUFACTURING
Guodong Shao, Sanjay Jain, Seungjun Shin
Manufacturing organizations are able to accumulate large amounts of plant floor production and environmental data due to advances in data collection, communications technology, and use of standards. The challenge has shifted from collecting a sufficient amount of data to analyzing and making decisions based on the huge amount of data available. Data analytics can help understand and gain insights from the big data and in turn help advance towards the vision of smart manufacturing. Modeling and simulation have been used by manufacturers to analyze their operations and support decision making. This paper proposes multiple ways in which simulation can support data analytics in manufacturing environment. An example case is discussed that demonstrates one of the uses of simulation to support data analytics. In the presented case, a virtual representation of machining operations is used to generate the data required to evaluate manufacturing data analytics applications.
Proceedings of the 2014 Winter Simulation Conference
, Jain, S.
and Shin, S.
DATA ANALYTICS USING SIMULATION FOR SMART MANUFACTURING, Proceedings of the 2014 Winter Simulation Conference, Savannah, GA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=915917
(Accessed February 26, 2024)