| Literature DB >> 28649678 |
Moneer Helu1, Don Libes1, Joshua Lubell1, Kevin Lyons1, K C Morris1.
Abstract
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 description of decision making. 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.Entities:
Keywords: Data-driven decision making; Smart manufacturing; Standardization; Systems integration
Year: 2016 PMID: 28649678 PMCID: PMC5482369 DOI: 10.1115/DETC2016-59721
Source DB: PubMed Journal: Proc ASME Des Eng Tech Conf