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Foundations of information governance for smart manufacturing



KC Morris, Yan Lu, Simon P. Frechette


The manufacturing systems of the future will be even more heavily dependent on the data than they are today. More and more data and information are being collected and communicated throughout product development lifecycles and across manufacturing value chains. To enable smarter manufacturing operations, new equipment often includes built-in data collection capabilities. Older equipment can be retrofitted inexpensively with sensors to collect a wide variety of data. Many manufacturers are in a quandary as to what to do with all this data. Much hype currently surrounds the use of AI with this data, but manufacturers struggle to understand how it can be applied to improve manufacturing system performance. The gap here lies in the lack of good data and information governance practices for manufacturing. This paper defines information governance in the manufacturing context as the set of principles that allow for consistent, repeatable, and trustworthy processing and use of data. The paper describes the main features of good information governance that are needed in the manufacturing environment. An example from an additive manufacturing case study is used to show how those features create the needed governance to build trust in the systems.
The ASTM Journal of Smart and Sustainable Manufacturing


Context awareness, Computer integrated manufacturing, system verification


Morris, K. , Lu, Y. and Frechette, S. (2019), Foundations of information governance for smart manufacturing, The ASTM Journal of Smart and Sustainable Manufacturing, [online], (Accessed June 19, 2024)


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Created June 10, 2019, Updated October 12, 2021