Virtual Engineering Factory: Creating Experience Base for Industry 4.0

ABSTRACT In recent times, traditional manufacturing is upgrading and adopting Industry 4.0, which supports computerization of manufacturing by round-the-clock connection and communication of engineering objects. Consequently, Decisional DNA-based knowledge representation of manufacturing objects, processes, and system is achieved by virtual engineering objects (VEO), virtual engineering processes (VEP), and virtual engineering factories (VEF), respectively. In this study, assimilation of VEO-VEP-VEF concept in the Cyber-physical system-based Industry 4.0 is proposed. The planned concept is implemented on a case study. Also, Decisional DNA features such as similarity identification and phenotyping are explored for validation. It is concluded that this approach can support Industry 4.0 and can facilitate in real time critical, creative, and effective decision making.

[1]  Edward Szczerbicki,et al.  Application of a Multi-domain Knowledge Structure: The Decisional DNA , 2009, Intelligent Systems for Knowledge Management.

[2]  Syed Imran Shafiq,et al.  Decisional DNA Based Conceptual Framework for Smart Manufacturing , 2015, ISAT.

[3]  Syed Imran Shafiq,et al.  Virtual Engineering Objects: Effective Way of Knowledge Representation and Decision Making , 2015, New Trends in Intelligent Information and Database Systems.

[4]  Eider Sanchez,et al.  Decisional DNA: A multi-technology shareable knowledge structure for decisional experience , 2012, Neurocomputing.

[5]  Panganamala Ramana Kumar,et al.  Cyber–Physical Systems: A Perspective at the Centennial , 2012, Proceedings of the IEEE.

[6]  Lee,et al.  [IEEE 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing - Orlando, FL, USA (2008.05.5-2008.05.7)] 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC) - Cyber Physical Systems: Design Cha , 2008 .

[7]  Syed Imran Shafiq,et al.  Virtual Engineering Object (VEO): Toward Experience-Based Design and Manufacturing for Industry 4.0 , 2015, Cybern. Syst..

[8]  Edward A. Lee Cyber Physical Systems: Design Challenges , 2008, 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC).

[9]  Edward A. Lee,et al.  Introduction to Embedded Systems - A Cyber-Physical Systems Approach , 2013 .

[10]  Syed Imran Shafiq,et al.  Set of experience and decisional DNA: Toward brains for cyber-physical systems and industry of the future , 2015, 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF).

[11]  Edward Szczerbicki,et al.  DECISIONAL DNA: THE CONCEPT AND ITS IMPLEMENTATION PLATFORMS , 2012, Cybern. Syst..

[12]  Peter C. Evans,et al.  Industrial Internet: Pushing the Boundaries of Minds and Machines , 2012 .

[13]  Syed Imran Shafiq,et al.  Decisional DNA Based Framework for Representing Virtual Engineering Objects , 2014, ACIIDS.

[14]  Boris Otto,et al.  Design Principles for Industrie 4.0 Scenarios: A Literature Review , 2015 .

[15]  Syed Imran Shafiq,et al.  Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA): Past, Present and Future , 2014, Cybern. Syst..

[16]  Cesar Sanin,et al.  Virtual Engineering Object / Virtual Engineering Process: A specialized form of Cyber Physical System for Industrie 4.0 , 2015, KES.

[17]  Boris Otto,et al.  Design Principles for Industrie 4.0 Scenarios , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[18]  Lui Sha,et al.  Cyber-Physical Systems: A New Frontier , 2008, 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008).

[19]  Didier Stricker,et al.  Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet , 2015, IEEE Computer Graphics and Applications.

[20]  Yuchun Xu,et al.  Integrating through-life engineering service knowledge with product design and manufacture , 2015, Int. J. Comput. Integr. Manuf..

[21]  Cesar Sanin,et al.  Implementing Virtual Engineering Objects (VEO) with the Set of Experience Knowledge Structure (SOEKS) , 2014, KES.