TY  - CONF
AU  - Majstorović, Vidosav D.
AU  - Stojadinović, Slavenko
AU  - Jakovljević, Živana
AU  - Živković, Srđan D.
AU  - Djurdjanović, Dragan
AU  - Kostić, Julija
AU  - Gligorijević, Nemanja
PY  - 2018
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2914
AB  - Internet of Things (IoT) is changing the world, and therefore the application of ICT (Information and Communication Technology) in manufacturing. As a paradigm based on the Internet, IoT utilizes the benefits of interrelated technologies/smart devices such as RFID (Radio Frequency Identification) and WSAN (Wireless Sensor and Actuator Networks) for the retrieval and exchange of information thus opening up new possibilities for integration of manufacturing system and its cyber representation through Cyber-Physical Manufacturing (CPM) model. On the other hand, CPM and digital manufacturing represent the key elements for implementation of Industry 4.0 and backbone for "smart factory" generation. Interconnected smart devices generate huge databases (big data), so that Cloud computing becomes indispensable tool to support the CPM. In addition, CPM has an extremely expressed requirement for better control, monitoring and data management. Limitations still exist in storages, networks and computers, as well as in the tools for complex data analysis, detection of its structure and retrieval of useful information. Products, resources, and processes within smart factory are realized and controlled through CPM model. In this context, our recent research efforts in the field of quality control and manufacturing metrology are directed to the development of framework for Cyber-Physical Manufacturing Metrology Model (CPM3). CPM3 framework will be based on: 1) integration of digital product metrology information obtained from big data using BDA (big data analytics) through metrology features recognition, and 2) generation of global/local inspection plan for CMM (Coordinate Measuring Machine) from extracted information. This paper will present recent results of our research on CPM3 - big data analytics issue.
PB  - Elsevier Science Bv, Amsterdam
C3  - 51st Cirp Conference on Manufacturing Systems
T1  - Cyber-Physical Manufacturing Metrology Model (CPM3) - Big Data Analytics Issue
EP  - 508
SP  - 503
VL  - 72
DO  - 10.1016/j.procir.2018.03.091
ER  - 

@conference{
author = "Majstorović, Vidosav D. and Stojadinović, Slavenko and Jakovljević, Živana and Živković, Srđan D. and Djurdjanović, Dragan and Kostić, Julija and Gligorijević, Nemanja",
year = "2018",
abstract = "Internet of Things (IoT) is changing the world, and therefore the application of ICT (Information and Communication Technology) in manufacturing. As a paradigm based on the Internet, IoT utilizes the benefits of interrelated technologies/smart devices such as RFID (Radio Frequency Identification) and WSAN (Wireless Sensor and Actuator Networks) for the retrieval and exchange of information thus opening up new possibilities for integration of manufacturing system and its cyber representation through Cyber-Physical Manufacturing (CPM) model. On the other hand, CPM and digital manufacturing represent the key elements for implementation of Industry 4.0 and backbone for "smart factory" generation. Interconnected smart devices generate huge databases (big data), so that Cloud computing becomes indispensable tool to support the CPM. In addition, CPM has an extremely expressed requirement for better control, monitoring and data management. Limitations still exist in storages, networks and computers, as well as in the tools for complex data analysis, detection of its structure and retrieval of useful information. Products, resources, and processes within smart factory are realized and controlled through CPM model. In this context, our recent research efforts in the field of quality control and manufacturing metrology are directed to the development of framework for Cyber-Physical Manufacturing Metrology Model (CPM3). CPM3 framework will be based on: 1) integration of digital product metrology information obtained from big data using BDA (big data analytics) through metrology features recognition, and 2) generation of global/local inspection plan for CMM (Coordinate Measuring Machine) from extracted information. This paper will present recent results of our research on CPM3 - big data analytics issue.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "51st Cirp Conference on Manufacturing Systems",
title = "Cyber-Physical Manufacturing Metrology Model (CPM3) - Big Data Analytics Issue",
pages = "508-503",
volume = "72",
doi = "10.1016/j.procir.2018.03.091"
}

Majstorović, V. D., Stojadinović, S., Jakovljević, Ž., Živković, S. D., Djurdjanović, D., Kostić, J.,& Gligorijević, N.. (2018). Cyber-Physical Manufacturing Metrology Model (CPM3) - Big Data Analytics Issue. in 51st Cirp Conference on Manufacturing Systems
Elsevier Science Bv, Amsterdam., 72, 503-508.
https://doi.org/10.1016/j.procir.2018.03.091

Majstorović VD, Stojadinović S, Jakovljević Ž, Živković SD, Djurdjanović D, Kostić J, Gligorijević N. Cyber-Physical Manufacturing Metrology Model (CPM3) - Big Data Analytics Issue. in 51st Cirp Conference on Manufacturing Systems. 2018;72:503-508.
doi:10.1016/j.procir.2018.03.091 .

Majstorović, Vidosav D., Stojadinović, Slavenko, Jakovljević, Živana, Živković, Srđan D., Djurdjanović, Dragan, Kostić, Julija, Gligorijević, Nemanja, "Cyber-Physical Manufacturing Metrology Model (CPM3) - Big Data Analytics Issue" in 51st Cirp Conference on Manufacturing Systems, 72 (2018):503-508,
https://doi.org/10.1016/j.procir.2018.03.091 . .

TY  - JOUR
AU  - Jakovljević, Živana
AU  - Majstorović, Vidosav D.
AU  - Stojadinović, Slavenko
AU  - Živković, Srđan
AU  - Gligorijević, Nemanja
AU  - Pajić, Miroslav
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2712
AB  - Increased product variety that market needs impose to manufacturers, requires high level adaptability of manufacturing systems that can be achieved through introduction of reconfigurable manufacturing systems composed of interoperable devices with ever-changing architecture. Control and management of such a complex system of systems requires fast and reliable real-time virtualization of real world applications as well as real-time feedback from virtual (cyber) model to the real world. The border line between real-world manufacturing system and its cyber representation is characterized by extremely high information permeability thus composing these two systems into a unique system—Cyber-Physical Manufacturing System (CPMS). Recent advances in the fields of Cyber-Physical Systems (CPS) and Internet of Things (IoT) enable creation of CPMS. In this paper we provide an overview of the research works that are currently conducted in the field of CPMS, and we outline the interconnection between CPMS and Industry 4.0. The motivation of this overview is the identification of the R&D activities that are necessary for industry-wide application of CPMS.
PB  - Springer Heidelberg
T2  - Lecture Notes in Mechanical Engineering
T1  - Cyber-physical manufacturing systems (CPMS)
EP  - 214
SP  - 199
DO  - 10.1007/978-3-319-56430-2_14
ER  - 

@article{
author = "Jakovljević, Živana and Majstorović, Vidosav D. and Stojadinović, Slavenko and Živković, Srđan and Gligorijević, Nemanja and Pajić, Miroslav",
year = "2017",
abstract = "Increased product variety that market needs impose to manufacturers, requires high level adaptability of manufacturing systems that can be achieved through introduction of reconfigurable manufacturing systems composed of interoperable devices with ever-changing architecture. Control and management of such a complex system of systems requires fast and reliable real-time virtualization of real world applications as well as real-time feedback from virtual (cyber) model to the real world. The border line between real-world manufacturing system and its cyber representation is characterized by extremely high information permeability thus composing these two systems into a unique system—Cyber-Physical Manufacturing System (CPMS). Recent advances in the fields of Cyber-Physical Systems (CPS) and Internet of Things (IoT) enable creation of CPMS. In this paper we provide an overview of the research works that are currently conducted in the field of CPMS, and we outline the interconnection between CPMS and Industry 4.0. The motivation of this overview is the identification of the R&D activities that are necessary for industry-wide application of CPMS.",
publisher = "Springer Heidelberg",
journal = "Lecture Notes in Mechanical Engineering",
title = "Cyber-physical manufacturing systems (CPMS)",
pages = "214-199",
doi = "10.1007/978-3-319-56430-2_14"
}

Jakovljević, Ž., Majstorović, V. D., Stojadinović, S., Živković, S., Gligorijević, N.,& Pajić, M.. (2017). Cyber-physical manufacturing systems (CPMS). in Lecture Notes in Mechanical Engineering
Springer Heidelberg., 199-214.
https://doi.org/10.1007/978-3-319-56430-2_14

Jakovljević Ž, Majstorović VD, Stojadinović S, Živković S, Gligorijević N, Pajić M. Cyber-physical manufacturing systems (CPMS). in Lecture Notes in Mechanical Engineering. 2017;:199-214.
doi:10.1007/978-3-319-56430-2_14 .

Jakovljević, Živana, Majstorović, Vidosav D., Stojadinović, Slavenko, Živković, Srđan, Gligorijević, Nemanja, Pajić, Miroslav, "Cyber-physical manufacturing systems (CPMS)" in Lecture Notes in Mechanical Engineering (2017):199-214,
https://doi.org/10.1007/978-3-319-56430-2_14 . .

TY  - CONF
AU  - Majstorović, Vidosav D.
AU  - Stojadinović, Slavenko
AU  - Živković, Srđan D.
AU  - Djurdjanović, Dragan
AU  - Jakovljević, Živana
AU  - Gligorijević, Nemanja
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2650
AB  - Cyber-Physical Manufacturing (CPM) and digital manufacturing represent the key elements for implementation of Industry 4.0 framework. Worldwide, Industry 4.0 becomes national research strategy in the field of engineering for the following ten years. The International Conference USA-EU-Far East-Serbia Manufacturing Summit was held from 31st May to 2nd June 2016 in Belgrade, Serbia. The result of the conference was the development of Industry 4.0 Model for Serbia as a framework for New Industrial Policy - Horizon 2020/2030. Implementation of CPM in manufacturing systems generates " smart factory". Products, resources, and processes within smart factory are realized and controlled through CPM model. This leads to significant advantages with respect to high product/process quality, real-time applications, savings in resources consumption, as well as, lower costs in comparison with classical manufacturing systems. Smart factory is designed in accordance with sustainable and service-oriented best business practices/models. It is based on optimization, flexibility, self-adaptability and learning, fault tolerance, and risk management. Complete manufacturing digitalization and digital factory are the key elements of Industry 4.0 Program. In collaborative research, which we carry out in the field of quality control and manufacturing metrology at University of Belgrade, Faculty of Mechanical Engineering in Serbia and at Department of Mechanical Engineering, University of Texas, Austin in USA, three research areas are defined: (a) Digital manufacturing - towards Cloud Manufacturing Systems (as a basis for CPS), in which quality and metrology represent integral parts of process optimization based on Taguchi model, and (sic) Cyber-Physical Quality Model (CPQM) - our approach, in which we have developed and tested intelligent model for prismatic parts inspection planning on CMM (Coordinate Measuring Machine). The third research area directs our efforts to the development of framework for Cyber-Physical Manufacturing Metrology Model (CPM3). CPM3 framework will be based on integration of digital product metrology information through metrology features recognition, and generation of global/local inspection plan for free-form surfaces; we will illustrate our approach using turbine blade example. This paper will present recent results of our research on CPM3.
PB  - Elsevier Science Bv, Amsterdam
C3  - Manufacturing Systems 4.0
T1  - Cyber-Physical Manufacturing Metrology Model (CPM3) for Sculptured Surfaces - Turbine Blade Application
EP  - 663
SP  - 658
VL  - 63
DO  - 10.1016/j.procir.2017.03.093
ER  - 

@conference{
author = "Majstorović, Vidosav D. and Stojadinović, Slavenko and Živković, Srđan D. and Djurdjanović, Dragan and Jakovljević, Živana and Gligorijević, Nemanja",
year = "2017",
abstract = "Cyber-Physical Manufacturing (CPM) and digital manufacturing represent the key elements for implementation of Industry 4.0 framework. Worldwide, Industry 4.0 becomes national research strategy in the field of engineering for the following ten years. The International Conference USA-EU-Far East-Serbia Manufacturing Summit was held from 31st May to 2nd June 2016 in Belgrade, Serbia. The result of the conference was the development of Industry 4.0 Model for Serbia as a framework for New Industrial Policy - Horizon 2020/2030. Implementation of CPM in manufacturing systems generates " smart factory". Products, resources, and processes within smart factory are realized and controlled through CPM model. This leads to significant advantages with respect to high product/process quality, real-time applications, savings in resources consumption, as well as, lower costs in comparison with classical manufacturing systems. Smart factory is designed in accordance with sustainable and service-oriented best business practices/models. It is based on optimization, flexibility, self-adaptability and learning, fault tolerance, and risk management. Complete manufacturing digitalization and digital factory are the key elements of Industry 4.0 Program. In collaborative research, which we carry out in the field of quality control and manufacturing metrology at University of Belgrade, Faculty of Mechanical Engineering in Serbia and at Department of Mechanical Engineering, University of Texas, Austin in USA, three research areas are defined: (a) Digital manufacturing - towards Cloud Manufacturing Systems (as a basis for CPS), in which quality and metrology represent integral parts of process optimization based on Taguchi model, and (sic) Cyber-Physical Quality Model (CPQM) - our approach, in which we have developed and tested intelligent model for prismatic parts inspection planning on CMM (Coordinate Measuring Machine). The third research area directs our efforts to the development of framework for Cyber-Physical Manufacturing Metrology Model (CPM3). CPM3 framework will be based on integration of digital product metrology information through metrology features recognition, and generation of global/local inspection plan for free-form surfaces; we will illustrate our approach using turbine blade example. This paper will present recent results of our research on CPM3.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Manufacturing Systems 4.0",
title = "Cyber-Physical Manufacturing Metrology Model (CPM3) for Sculptured Surfaces - Turbine Blade Application",
pages = "663-658",
volume = "63",
doi = "10.1016/j.procir.2017.03.093"
}

Majstorović, V. D., Stojadinović, S., Živković, S. D., Djurdjanović, D., Jakovljević, Ž.,& Gligorijević, N.. (2017). Cyber-Physical Manufacturing Metrology Model (CPM3) for Sculptured Surfaces - Turbine Blade Application. in Manufacturing Systems 4.0
Elsevier Science Bv, Amsterdam., 63, 658-663.
https://doi.org/10.1016/j.procir.2017.03.093

Majstorović VD, Stojadinović S, Živković SD, Djurdjanović D, Jakovljević Ž, Gligorijević N. Cyber-Physical Manufacturing Metrology Model (CPM3) for Sculptured Surfaces - Turbine Blade Application. in Manufacturing Systems 4.0. 2017;63:658-663.
doi:10.1016/j.procir.2017.03.093 .

Majstorović, Vidosav D., Stojadinović, Slavenko, Živković, Srđan D., Djurdjanović, Dragan, Jakovljević, Živana, Gligorijević, Nemanja, "Cyber-Physical Manufacturing Metrology Model (CPM3) for Sculptured Surfaces - Turbine Blade Application" in Manufacturing Systems 4.0, 63 (2017):658-663,
https://doi.org/10.1016/j.procir.2017.03.093 . .