Digital transformation of manufacturing through cloud services and resource virtualization

Abstract This editorial introduces the special issue in the Elsevier journal Computers in Industry that analyses how the digital transformation of manufacturing is speeded up by two important drivers: cloud services and resource virtualization, which are vital for implementing the main building blocks - Cyber Physical Production Systems and Industrial Internet of Things - in the “Industry of the future” framework. The context of this special issue is firstly presented, with a specific focus on the federative concept of Industry 4.0. A framework characterizing research activities led in the field of the digital transformation of manufacturing processes and systems is then introduced. This framework is used to present and position the 12 papers composing the special issue. Perspectives are finally introduced as a guideline for future work in the digital transformation of manufacturing through cloud services and resource virtualization.

[1]  Hendrik Van Brussel,et al.  Predicting the unexpected , 2011, Comput. Ind..

[2]  Jay Lee,et al.  Recent advances and trends in predictive manufacturing systems in big data environment , 2013 .

[3]  Luc Bongaerts,et al.  Reference architecture for holonic manufacturing systems: PROSA , 1998 .

[4]  André Thomas,et al.  Intelligent distributed production control , 2012, J. Intell. Manuf..

[5]  Charu C. Aggarwal,et al.  The Internet of Things: A Survey from the Data-Centric Perspective , 2013, Managing and Mining Sensor Data.

[6]  Octavian Morariu,et al.  Resource Monitoring in Cloud Platforms with Tivoli Service Automation Management , 2012 .

[7]  José Barbosa,et al.  Dynamic self-organization in holonic multi-agent manufacturing systems: The ADACOR evolution , 2015, Comput. Ind..

[8]  Theodor Borangiu,et al.  A cloud-based manufacturing control system with data integration from multiple autonomous agents , 2018, Comput. Ind..

[9]  Paul Valckenaers,et al.  An Approach for the Integration of a Scheduling System and a Multi-Agent Manufacturing Execution System. towards a Collaborative Framework , 2012 .

[10]  Eugénio C. Oliveira,et al.  Industrial Cyber Physical Systems Supported by Distributed Advanced Data Analytics , 2016, SOHOMA.

[11]  Radu Dobrescu,et al.  Process simulation platform for virtual manufacturing systems evaluation , 2019, Comput. Ind..

[12]  Jin Wang,et al.  Game Theory Based Real‐Time Shop Floor Scheduling Strategy and Method for Cloud Manufacturing , 2017, Int. J. Intell. Syst..

[13]  André Thomas,et al.  Product-Driven Control: a State of the Art and Future Trends , 2012 .

[14]  Damien Trentesaux,et al.  Emerging ICT concepts for smart, safe and sustainable industrial systems , 2016, Comput. Ind..

[15]  Luis M. Camarinha-Matos,et al.  Coalitions of manufacturing components for shop floor agility - the CoBASA architecture , 2003, Int. J. Netw. Virtual Organisations.

[16]  Pedro Ferreira,et al.  Decentralised vs partially centralised self-organisation model for mobile robots in large structure assembly , 2019, Comput. Ind..

[17]  Abdelouahed Gherbi,et al.  A Lightweight Semantic Web-based Approach for Data Annotation on IoT Gateways , 2017, EUSPN/ICTH.

[18]  Remzi Seker,et al.  Cyber resilience protection for industrial internet of things: A software-defined networking approach , 2019, Comput. Ind..

[19]  Duncan C. McFarlane,et al.  Customising with 3D printing: The role of intelligent control , 2018, Comput. Ind..

[20]  Petri T. Helo,et al.  Toward a cloud-based manufacturing execution system for distributed manufacturing , 2014, Comput. Ind..

[21]  Athanasios V. Vasilakos,et al.  Security of the Internet of Things: perspectives and challenges , 2014, Wireless Networks.

[22]  Octavian Morariu,et al.  Redundancy and scalability for virtualized MES systems with programmable infrastructure , 2016, Comput. Ind..

[23]  Julia C. Bendul,et al.  The design space of production planning and control for industry 4.0 , 2019, Comput. Ind..

[24]  László Monostori,et al.  ScienceDirect Variety Management in Manufacturing . Proceedings of the 47 th CIRP Conference on Manufacturing Systems Cyber-physical production systems : Roots , expectations and R & D challenges , 2014 .

[25]  Duncan C. McFarlane,et al.  Towards the deployment of customer orientation: A case study in third-party logistics , 2019, Comput. Ind..

[26]  Octavian Morariu,et al.  Policy-based security for distributed manufacturing execution systems , 2017, Int. J. Comput. Integr. Manuf..

[27]  Karel Kruger,et al.  Erlang-based holonic controller for a palletized conveyor material handling system , 2018, Comput. Ind..

[28]  Danny Weyns,et al.  Patterns of Delegate MAS , 2009, 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems.

[29]  Carlos Pascal,et al.  A constraint satisfaction approach for planning of multi-robot systems , 2014, 2014 18th International Conference on System Theory, Control and Computing (ICSTCC).

[30]  R. H. Sturges,et al.  Framework for the control of automated material-handling systems using the holonic manufacturing approach , 2004 .

[31]  Hendrik Van Brussel,et al.  Emergent short-term forecasting through ant colony engineering in coordination and control systems , 2006, Adv. Eng. Informatics.

[32]  Sanjay E. Sarma,et al.  THE INTELLIGENT PRODUCT IN MANUFACTURING CONTROL AND MANAGEMENT , 2002 .

[33]  Hailong Sun,et al.  Achieving convergent causal consistency and high availability for cloud storage , 2017, Future Gener. Comput. Syst..

[34]  Anne L'Anton,et al.  A modeling framework for manufacturing services in Service-oriented Holonic Manufacturing Systems , 2016, Eng. Appl. Artif. Intell..

[35]  Bernard Grabot,et al.  Intelligent Products: A Spinal Column to Handle Information Exchanges in Supply Chains , 2013, APMS.

[36]  Giovani J.C. da Silveira,et al.  The mass customization decade: An updated review of the literature , 2012 .

[37]  André Thomas,et al.  Coupling predictive scheduling and reactive control in manufacturing hybrid control architectures: state of the art and future challenges , 2017, J. Intell. Manuf..

[38]  Olivier Cardin,et al.  Classification of cyber-physical production systems applications: Proposition of an analysis framework , 2018, Comput. Ind..

[39]  Paulo Leitão,et al.  ADACOR: A holonic architecture for agile and adaptive manufacturing control , 2006, Comput. Ind..

[40]  Prasan Kumar Sahoo,et al.  Design and implementation of a novel service management framework for IoT devices in cloud , 2016, J. Syst. Softw..

[41]  Theodor Borangiu IBM service oriented technologies and management for smarter enterprise , 2011, 15th International Conference on System Theory, Control and Computing.

[42]  V. Agarwal,et al.  The intelligent product driven supply chain , 2002, IEEE International Conference on Systems, Man and Cybernetics.

[43]  Nuno Souto,et al.  Design and implementation of an IoT gateway to create smart environments , 2017, ANT/SEIT.

[44]  Karlos Artto,et al.  Intelligent products - a step towards a more effective project delivery chain , 2003, Comput. Ind..

[45]  Xun Xu,et al.  From cloud computing to cloud manufacturing , 2012 .

[46]  Damien Trentesaux,et al.  Artificial Intelligence, Autonomous Systems and Robotics: Legal Innovations , 2017, SOHOMA.

[47]  Soundar R. T. Kumara,et al.  Cyber-physical systems in manufacturing , 2016 .

[48]  Charlie C. L. Wang,et al.  The status, challenges, and future of additive manufacturing in engineering , 2015, Comput. Aided Des..

[49]  Carlos Pascal,et al.  On Rescheduling in Holonic Manufacturing Systems , 2019, SOHOMA.

[50]  Nelson Rodrigues,et al.  Decentralized and on-the-fly agent-based service reconfiguration in manufacturing systems , 2018, Comput. Ind..

[51]  Octavian Morariu,et al.  Manufacturing Systems at Scale with Big Data Streaming and Online Machine Learning , 2017, SOHOMA.

[52]  Jin Wang,et al.  Fault Detection Using the k-Nearest Neighbor Rule for Semiconductor Manufacturing Processes , 2007, IEEE Transactions on Semiconductor Manufacturing.

[53]  Octavian Morariu,et al.  vMES: Virtualization aware manufacturing execution system , 2015, Comput. Ind..

[54]  Thierry Turletti,et al.  A Survey of Software-Defined Networking: Past, Present, and Future of Programmable Networks , 2014, IEEE Communications Surveys & Tutorials.

[55]  Damien Trentesaux,et al.  Distributed control of production systems , 2009, Eng. Appl. Artif. Intell..

[56]  Dazhong Wu,et al.  Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation , 2015, Comput. Aided Des..

[57]  Xiaoping Li,et al.  A Resource Virtualization Mechanism for Cloud Manufacturing Systems , 2012, IWEI.

[58]  Remzi Seker,et al.  Big Data and virtualization for manufacturing cyber-physical systems: A survey of the current status and future outlook , 2016, Comput. Ind..

[59]  Damien Trentesaux,et al.  Designing Ethical Cyber-Physical Industrial Systems , 2017 .

[60]  Paulo Leitão,et al.  IDARTS - Towards intelligent data analysis and real-time supervision for industry 4.0 , 2018, Comput. Ind..