Abstract
Complex systems are not of static nature. Most are governed by a particular set of laws and behave accordingly to a certain range of expected inputs and variables, but they can also evolve in response to unforeseen stimulus. The same principle can be applied to industrial information systems. Larger systems such as an entire company or a network of companies may be divided into further subsystems, including information systems, each behaving autonomously but is still under influence of the others, interacting with them in a holistic manner. This paper explores this relationship and proposes a conceptual solution to the strain of sustaining interoperability in complex service-based networks from the domain of manufacturing. To such effect, and in order to tackle the complex relationships and dependencies implicit in web-service environments, information modeling is used, allowing for the optimization of several service engineering activities and enterprise business processes while maximizing the efficiency of system's interactions. Hence, service modeling and orchestration is here suggested as a baseline to network monitoring, and as a possible approach to automatically handle and recover from erratic behavior, providing systems with adaptive web services and self-organizing capabilities.
Original language | English |
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Title of host publication | Advanced Manufacturing |
Publisher | ASME - The American Society of Mechanical Engineers |
Number of pages | 9 |
Volume | 2 |
ISBN (Electronic) | 978-079185052-7 |
DOIs | |
Publication status | Published - 1 Jan 2016 |
Event | ASME 2016 International Mechanical Engineering Congress and Exposition, IMECE 2016 - Phoenix, United States Duration: 11 Nov 2016 → 17 Nov 2016 |
Conference
Conference | ASME 2016 International Mechanical Engineering Congress and Exposition, IMECE 2016 |
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Country/Territory | United States |
City | Phoenix |
Period | 11/11/16 → 17/11/16 |
Keywords
- Manufacturing
- Modeling
- Optimization
- Self-organization
- Complex systems
- Web services