Enabling Smart Manufacturing Technologies for Decision-Making Support
Moneer M. Helu, Don E. Libes, Joshua Lubell, Kevin W. Lyons, Katherine C. Morris
Smart manufacturing combines advanced manufacturing capabilities and digital technologies throughout the product lifecycle. These technologies can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, and simulation that generate more and better intelligence about manufacturing systems. However, challenges and barriers have impeded the adoption of smart manufacturing technologies. To begin to address this need, this paper defines requirements for data-driven decision making in manufacturing based on a generalized decision- making process. Using these requirements, we then focus on identifying key barriers that prevent the development and use of data-driven decision making in industry as well as examples of technologies and standards that have the potential to overcome these barriers. The goal of this research is to promote a common understanding among the manufacturing community that can enable standardization efforts and innovation needed to continue adoption and use of smart manufacturing technologies.
Proceedings of the 36th ASME Computers and Information in Engineering Conference
August 21-24, 2016
ASME 2016 International Design Engineering Technical Conferences & Computers and Information in