IoT Models Applied in Flexible Manufacturing Systems

Session organizers: Calin Ciufudean

Submission deadline: January 10, 2016

Ph.D. Eng. Calin Ciufudean Assoc. Professor, Department of Computers, Automatics and Electronics, Stefan cel Mare University, Suceava, 720225, Romania. E-mail = ciufudean.calin@gmail.com

A major consideration in designing a modern production system is its availability. When component of the system fails, the system reconfiguration is often less than perfect. To analyze the system with failure/repair processes, discrete event and meta-heuristic models are used. As a manufacturing system includes a large number of components with failure/repair processes, the system-level conventional model becomes computationally intractable. We aim to discuss new formalism for the diagnosis of such systems using a new production framework, e.g. Internet of Things (IoT).

Topics of interest include, but are not limited to:
• IoT Models for Artificial Social Systems (ASoS)
• Modelling Control and Hazards in Industrial Applications
• Iot Pathways to Change Production Models
• Iot vs Interaction Man-Machine in Flexible Manufacturing Systems
• Iot the covering factor of an Industrial Artificial Social System (IASoS)
• Petri net models for IoT Applications.
• Markov models for IoT Applications.
• Tabu search diagnosis of for IoT Applications.
• Simulated annealing models for IoT Applications.
• Genetic and memetic algorithms for modelling IoT Applications.