Sensors are ubiquitous in modern manufacturing operations, and they generate significant quantities of data. With theadvent of low cost, readily available broad band communication and virtually infinite cloud storage, many of the oldstigmatisms related to taking data from a plant are no longer of concern. However, the question still remains as to what todo with the data. This lecture will discuss the use of large scale data sets from production operations and how they can beleveraged to better understand not only traditional operations, but untapped opportunities from data that are readilyavailable today. Such opportunities provide an improved platform for classical analytic techniques as well as more modern,data intensive approaches to process and operations modeling. The talk will then focus on a specific next generation digitalrepresentations and their application to low cost, highly flexible implementations. Examples will be given for bothmanufacturing operations (additive and subtractive) and validation/verification, as well as how this capability is extensibleto cloud computing operations, and next generation technology and business models such as Desktop as a Service (DAAS).A Wireless Accelerometer Sensor Platform (WASP) is presented as an extremely low-cost, wireless, and robust methodto monitor manufacturing equipment of any age. The talk will conclude with a discussion of the technology, workforceand infrastructural directions and needs to fully enable the next generation digital twin, and where such a capability willdrive the future of manufacturing.
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