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Hybrid Cloud Environment for Manufacturing Control System

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2016 ASEE Annual Conference & Exposition


New Orleans, Louisiana

Publication Date

June 26, 2016

Start Date

June 26, 2016

End Date

August 28, 2016





Conference Session

Supply Chain and Logistics in Manufacturing Education

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Paper Authors


Victor Taratukhin Stanford University Orcid 16x16

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Victor Taratukhin received his Ph.D. in Engineering Design in 1998 and Ph.D. in Computing Sciences and Engineering in 2002. Victor was a Lecturer in Decision Engineering and Module Leader (IT for Product Realization) at Cranfield University, UK (2001-2004), SAP University Alliances Program Director (2004-2012). He is Managing Director, Competence Center ERP at European Research Center for Information Systems (ERCIS), University of Muenster, Germany (2012-present) and Visiting Professor at Stanford Center for Design Research (CDR).

Currently teaching at Stanford

ME 310I: The Essential Elements of New Product Development: Business and Industry Perspectives

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Yulia Yadgarova P.E. Bauman Moscow State Technical University


Anastasia Stelvaga Skolkovo Institute of Science and Technology

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Anastasia Stelvaga received Ms. Degree in Physics from Novosibirsk State University in 2014. Currently Anastasia is involved in the Master program at Skolkovo Institute of Science and Technology held in conjunction with Massachusetts Institute of Technology , program title Advanced Manufacturing and Product Design. She specializes in automation and robotics.

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Today the concepts of Smart factory, Internet of Things and Industrial Internet play a significant role in innovation process and new engineering design architectures. Using design thinking approach, university team of MSc and PhD students under the guidance of global IT company developed the cloud manufacturing control system based on the instructional flexible manufacturing line (FMS) equipment and production Internet-of-Things platform.

As a result, FMS consisting of several machine tools, manipulators, conveyor and storage is monitored and controlled under engineering cloud. The cloud-based in-memory database software being integrated part of the solution was provided by global IT company through industry – academia research initiative.

Physical devices have cloud representations connected with each other through the dependency model and communication channels. Presented framework allows to provide self-organization between cloud representations, scheduling of orders in the cloud and support of discrete event simulation process based on the real-time data from the devices (DEVS models simulation representation).

This cloud-manufacturing environment is fully functional and will allow to use this example for research and education of postgraduate students and industry clients and for understanding the important trends in future manufacturing.

Taratukhin, V., & Yadgarova, Y., & Stelvaga, A. (2016, June), Hybrid Cloud Environment for Manufacturing Control System Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25503

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