Abstract
In concert with advances in information and communication technology and their application to manufacturing environments, physical entities in factories are acquiring more intelligence via integration with cyber systems. This integration brings about Cyber-Physical Production Systems and leads to smart manufacturing, the next generation manufacturing paradigm. In the new paradigm, high levels of agility, flexibility, and real-time control make it possible to keep the system running efficiently and self-organized. At the same time, however, it becomes difficult in a self-organized and decentralized system to capture the system's status, evaluate the system's performance, and predict the system's future events. In this article, we suggest improvements to smart manufacturing systems where the intelligence from smart entities could be fully utilized without losing system control. To achieve this goal, a solution for integrating schedule-driven production (push systems) and event-driven production (pull systems) is proposed to optimize both material flow and information flow for manufacturing operations. For each entity in a smart manufacturing system, details of decision making are encapsulated and its status is exposed. The status-based decisions filter out unimportant information and make smart manufacturing systems loosely-coupled and predictable. A simulation case study based on Devices Profile for Web Services [1] is used to illustrate the effectiveness of such an approach. The case study suggests that status-based decisions could be applied to smart manufacturing and that they can be part of an approach that balances the self-organized control with overall performance. Therefore, we can make full use of intelligent entities in lower levels of a factory while keeping the entire system under control.
Original language | English (US) |
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Title of host publication | 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017 |
Publisher | IEEE Computer Society |
Pages | 1000-1005 |
Number of pages | 6 |
Volume | 2017-August |
ISBN (Electronic) | 9781509067800 |
DOIs | |
State | Published - Jan 12 2018 |
Event | 13th IEEE Conference on Automation Science and Engineering, CASE 2017 - Xi'an, China Duration: Aug 20 2017 → Aug 23 2017 |
Other
Other | 13th IEEE Conference on Automation Science and Engineering, CASE 2017 |
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Country/Territory | China |
City | Xi'an |
Period | 8/20/17 → 8/23/17 |
Keywords
- Cyber-Physical Production Systems
- Devices Profile of Web Services
- Smart Manufacturing Systems
- Status-based Decision
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering