Smart Manufacturing Technologies: Data-driven Algorithms in Production Planning, Sustainable Value Creation, and Operational Performance Improvement

2019 ◽  
Vol 14 (2) ◽  
pp. 52 ◽  
Keyword(s):  
Production Planning ◽  
Performance Improvement ◽  
Value Creation ◽  
Data Driven ◽  
Operational Performance ◽  
Smart Manufacturing ◽  
Sustainable Value ◽  
Manufacturing Technologies

scholarly journals Enhancing operational performance and productivity benefits in breweries through smart manufacturing technologies

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Sachin Nimbalkar ◽  
Sarang D. Supekar ◽  
Will Meadows ◽  
Thomas Wenning ◽  
Wei Guo ◽  
...  
Keyword(s):  
Operational Performance ◽  
Smart Manufacturing ◽  
Manufacturing Technologies

scholarly journals Enabling Smart Manufacturing Technologies for Decision-Making Support

2016 ◽  
Author(s):  
Moneer Helu ◽  
Don Libes ◽  
Joshua Lubell ◽  
Kevin Lyons ◽  
K. C. Morris
Keyword(s):  
Decision Making ◽  
Manufacturing Systems ◽  
Data Driven ◽  
Smart Manufacturing ◽  
Advanced Manufacturing ◽  
Data Driven Decision Making ◽  
Use Of Data ◽  
Manufacturing Technologies ◽  
Common Understanding ◽  
Decision Making Support

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.

Sign in / Sign up

Export Citation Format

Share Document