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Production as a Service: Optimizing Utilization in Manufacturing Systems

[+] Author Affiliations
Matthew Porter, Vikram Raghavan, Yikai Lin, Z. Morley Mao, Kira Barton, Dawn Tilbury

University of Michigan, Ann Arbor, MI

Paper No. DSCC2016-9908, pp. V002T21A012; 8 pages
doi:10.1115/DSCC2016-9908
From:
  • ASME 2016 Dynamic Systems and Control Conference
  • Volume 2: Mechatronics; Mechatronics and Controls in Advanced Manufacturing; Modeling and Control of Automotive Systems and Combustion Engines; Modeling and Validation; Motion and Vibration Control Applications; Multi-Agent and Networked Systems; Path Planning and Motion Control; Robot Manipulators; Sensors and Actuators; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamic Controls; Vehicle Dynamics and Traffic Control
  • Minneapolis, Minnesota, USA, October 12–14, 2016
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5070-1
  • Copyright © 2016 by ASME

abstract

While advances in technology have greatly improved the process of mass production, producing small batches or one-offs in an efficient manner has remained challenging for the manufacturing industry. Additionally, in both large and small companies, there are often available manufacturing resources that sit idle between projects. In this paper we present a Production as a Service framework for providing manufacturing options to designers of new products based on available manufacturing resources. The designed framework aims to bridge the gap between the theoretical work that has been done on Service Oriented Architectures in manufacturing, and what is required for implementation. An industrial use case is provided as an example of the framework.

Copyright © 2016 by ASME

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