Industry 4.0: Latent Dirichlet Allocation and clustering based theme identification of bibliography

[1]  Haruna Chiroma,et al.  Metaheuristics: a comprehensive overview and classification along with bibliometric analysis , 2021, Artificial Intelligence Review.

[2]  O. N. Oyelade,et al.  Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature , 2020, Neural Comput. Appl..

[3]  Cristiano André da Costa,et al.  Looking at energy through the lens of Industry 4.0: A systematic literature review of concerns and challenges , 2020, Comput. Ind. Eng..

[4]  Alexandre Reis Graeml,et al.  The role of crowdsourcing in industry 4.0: a systematic literature review , 2020, Int. J. Comput. Integr. Manuf..

[5]  Manuel Parente,et al.  Production scheduling in the context of Industry 4.0: review and trends , 2020, Int. J. Prod. Res..

[6]  Kevin I-Kai Wang,et al.  Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues , 2020, Robotics Comput. Integr. Manuf..

[7]  Pranab K. Muhuri,et al.  A Bibliometric Overview of the Field of Type-2 Fuzzy Sets and Systems [Discussion Forum] , 2020, IEEE Computational Intelligence Magazine.

[8]  Liane Mahlmann Kipper,et al.  Scopus scientific mapping production in industry 4.0 (2011–2018): a bibliometric analysis , 2019, Int. J. Prod. Res..

[9]  Ajith Abraham,et al.  Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988-2018) , 2019, Eng. Appl. Artif. Intell..

[10]  Elpidio Oscar Benitez Nara,et al.  Industry 4.0 technologies basic network identification , 2019, Scientometrics.

[11]  Ajith Abraham,et al.  Industry 4.0: A bibliometric analysis and detailed overview , 2019, Eng. Appl. Artif. Intell..

[12]  Kim-Kwang Raymond Choo,et al.  Multi-dimensional data indexing and range query processing via Voronoi diagram for internet of things , 2019, Future Gener. Comput. Syst..

[13]  Fei Tao,et al.  New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[14]  Pranab K. Muhuri,et al.  Applied soft computing: A bibliometric analysis of the publications and citations during (2004-2016) , 2018, Appl. Soft Comput..

[15]  Ajith Abraham,et al.  A Scientometric Study of Neurocomputing Publications (1992-2018): An Aerial Overview of Intrinsic Structure , 2018, Publ..

[16]  Sherali Zeadally,et al.  Deploying Fog Computing in Industrial Internet of Things and Industry 4.0 , 2018, IEEE Transactions on Industrial Informatics.

[17]  Song Han,et al.  Industrial Internet of Things: Challenges, Opportunities, and Directions , 2018, IEEE Transactions on Industrial Informatics.

[18]  K. Voigt,et al.  Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0 , 2018, Technological Forecasting and Social Change.

[19]  G. Tortorella,et al.  Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies , 2018, Int. J. Prod. Res..

[20]  Zeshui Xu,et al.  The Structure and Citation Landscape of IEEE Transactions on Fuzzy Systems (1994–2015) , 2018, IEEE Transactions on Fuzzy Systems.

[21]  M. Tseng,et al.  Circular economy meets industry 4.0: Can big data drive industrial symbiosis? , 2018 .

[22]  Khamdi Mubarok,et al.  Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives , 2018, Frontiers of Mechanical Engineering.

[23]  Li Da Xu,et al.  Industry 4.0: state of the art and future trends , 2018, Int. J. Prod. Res..

[24]  Tiago M. Fernández-Caramés,et al.  A Review on Industrial Augmented Reality Systems for the Industry 4.0 Shipyard , 2018, IEEE Access.

[25]  Charbel José Chiappetta Jabbour,et al.  Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations , 2018, Annals of Operations Research.

[26]  R. Pellerin,et al.  The industrial management of SMEs in the era of Industry 4.0 , 2018, Int. J. Prod. Res..

[27]  J. Müller,et al.  What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability , 2018 .

[28]  K. Stecke,et al.  The evolution of production systems from Industry 2.0 through Industry 4.0 , 2018, Int. J. Prod. Res..

[29]  Andrew Kusiak,et al.  Smart manufacturing , 2018, Int. J. Prod. Res..

[30]  Fei Tao,et al.  Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison , 2018, IEEE Access.

[31]  J. R. Llata,et al.  Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments , 2017, IEEE Access.

[32]  Ray Y. Zhong,et al.  Intelligent Manufacturing in the Context of Industry 4.0: A Review , 2017 .

[33]  Antonio Padovano,et al.  Smart operators in industry 4.0: A human-centered approach to enhance operators' capabilities and competencies within the new smart factory context , 2017, Comput. Ind. Eng..

[34]  Emanuele Borgonovo,et al.  Forty years of the European Journal of Operational Research: A bibliometric overview , 2017, Eur. J. Oper. Res..

[35]  Meng Zhang,et al.  Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing , 2017, IEEE Access.

[36]  Erik Hofmann,et al.  Industry 4.0 and the current status as well as future prospects on logistics , 2017, Comput. Ind..

[37]  Amy J. C. Trappey,et al.  A review of essential standards and patent landscapes for the Internet of Things: A key enabler for Industry 4.0 , 2017, Adv. Eng. Informatics.

[38]  Markus Kraft,et al.  Blockchain technology in the chemical industry: Machine-to-machine electricity market , 2017 .

[39]  Fei Tao,et al.  SDMSim: A manufacturing service supply–demand matching simulator under cloud environment , 2017 .

[40]  Yang Lu,et al.  Industry 4.0: A survey on technologies, applications and open research issues , 2017, J. Ind. Inf. Integr..

[41]  Carlo Noe,et al.  Literature review on the ‘Smart Factory’ concept using bibliometric tools , 2017, Int. J. Prod. Res..

[42]  Enzo Baccarelli,et al.  Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study , 2017, IEEE Access.

[43]  A. Amassian,et al.  Morphology Development in Solution-Processed Functional Organic Blend Films: An In Situ Viewpoint. , 2017, Chemical reviews.

[44]  Fernando Deschamps,et al.  Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal , 2017, Int. J. Prod. Res..

[45]  Juergen Jasperneite,et al.  The Future of Industrial Communication: Automation Networks in the Era of the Internet of Things and Industry 4.0 , 2017, IEEE Industrial Electronics Magazine.

[46]  Bengt Lennartson,et al.  An event-driven manufacturing information system architecture for Industry 4.0 , 2017, Int. J. Prod. Res..

[47]  Athanasios V. Vasilakos,et al.  A Manufacturing Big Data Solution for Active Preventive Maintenance , 2017, IEEE Transactions on Industrial Informatics.

[48]  Klaus-Dieter Thoben,et al.  "Industrie 4.0" and Smart Manufacturing - A Review of Research Issues and Application Examples , 2017, Int. J. Autom. Technol..

[49]  Frank Teuteberg,et al.  Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry , 2016, Comput. Ind..

[50]  Jiafu Wan,et al.  Mobile Services for Customization Manufacturing Systems: An Example of Industry 4.0 , 2016, IEEE Access.

[51]  Kleanthis Thramboulidis,et al.  UML4IoT - A UML-based approach to exploit IoT in cyber-physical manufacturing systems , 2016, Comput. Ind..

[52]  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..

[53]  Ashutosh Tiwari,et al.  Discrete Event Simulation and Virtual Reality Use in Industry: New Opportunities and Future Trends , 2016, IEEE Transactions on Human-Machine Systems.

[54]  Prem Prakash Jayaraman,et al.  Internet of Things and Edge Cloud Computing Roadmap for Manufacturing , 2016, IEEE Cloud Computing.

[55]  Yongkui Liu,et al.  Industry 4.0 and Cloud Manufacturing: A Comparative Analysis , 2016 .

[56]  Daqiang Zhang,et al.  Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination , 2016, Comput. Networks.

[57]  Athanasios V. Vasilakos,et al.  Software-Defined Industrial Internet of Things in the Context of Industry 4.0 , 2016, IEEE Sensors Journal.

[58]  Vasja Roblek,et al.  A Complex View of Industry 4.0 , 2016 .

[59]  Bilal Ahmad,et al.  Engineering Methods and Tools for Cyber–Physical Automation Systems , 2016, Proceedings of the IEEE.

[60]  Birgit Vogel-Heuser,et al.  Guest Editorial Industry 4.0-Prerequisites and Visions , 2016, IEEE Trans Autom. Sci. Eng..

[61]  P. Mosterman,et al.  Industry 4.0 as a Cyber-Physical System study , 2016, Software & Systems Modeling.

[62]  Alexandre Dolgui,et al.  A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0 , 2016 .

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

[64]  Sang Do Noh,et al.  Smart manufacturing: Past research, present findings, and future directions , 2016, International Journal of Precision Engineering and Manufacturing-Green Technology.

[65]  J. Merigó,et al.  A bibliometric overview of the Journal of Business Research , 2016 .

[66]  Andrew D. Maynard,et al.  Navigating the fourth industrial revolution. , 2015, Nature nanotechnology.

[67]  Hehua Yan,et al.  Cloud-assisted industrial cyber-physical systems: An insight , 2015, Microprocess. Microsystems.

[68]  Lihui Wang,et al.  Current status and advancement of cyber-physical systems in manufacturing , 2015 .

[69]  Lifeng Zhou,et al.  Industry 4.0: Towards future industrial opportunities and challenges , 2015, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

[70]  Jun Zhang,et al.  Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches , 2015, ACM Comput. Surv..

[71]  Dejian Yu,et al.  Researching the development of Atanassov intuitionistic fuzzy set: Using a citation network analysis , 2015, Appl. Soft Comput..

[72]  Jiafu Wan,et al.  Industrie 4.0: Enabling technologies , 2015, Proceedings of 2015 International Conference on Intelligent Computing and Internet of Things.

[73]  Enrique Herrera-Viedma,et al.  25years at Knowledge-Based Systems , 2015 .

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

[75]  José M. Merigó,et al.  An overview of fuzzy research with bibliometric indicators , 2015, Appl. Soft Comput..

[76]  Alexander Verl,et al.  Making existing production systems Industry 4.0-ready , 2015, Prod. Eng..

[77]  Joaquín B. Ordieres Meré,et al.  Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm , 2014, 2014 IEEE International Conference on Industrial Engineering and Engineering Management.

[78]  Malte Brettel,et al.  How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective , 2014 .

[79]  Oscar Castillo,et al.  A review on interval type-2 fuzzy logic applications in intelligent control , 2014, Inf. Sci..

[80]  Zhiwei Zhou,et al.  Landmark papers written by the Nobelists in physics from 1901 to 2012: a bibliometric analysis of their citations and journals , 2014, Scientometrics.

[81]  Mathias Schmitt,et al.  Human-machine-interaction in the industry 4.0 era , 2014, 2014 12th IEEE International Conference on Industrial Informatics (INDIN).

[82]  P. Fettke,et al.  Industry 4.0 , 2014, Bus. Inf. Syst. Eng..

[83]  Wolfgang Weller,et al.  Auf dem Weg zur 4. Industriellen Revolution , 2014 .

[84]  Wu He,et al.  Internet of Things in Industries: A Survey , 2014, IEEE Transactions on Industrial Informatics.

[85]  Oscar Castillo,et al.  A review on the applications of type-2 fuzzy logic in classification and pattern recognition , 2013, Expert Syst. Appl..

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

[87]  Thomas F. Edgar,et al.  Smart manufacturing, manufacturing intelligence and demand-dynamic performance , 2012, Comput. Chem. Eng..

[88]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[89]  Woo-Tsong Lin,et al.  Citation analysis and bibliometric approach for ant colony optimization from 1996 to 2010 , 2012, Expert Syst. Appl..

[90]  Oscar Castillo,et al.  A review on the design and optimization of interval type-2 fuzzy controllers , 2012, Appl. Soft Comput..

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

[92]  A. Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[93]  Detlef Zühlke,et al.  SmartFactory - Towards a factory-of-things , 2010, Annu. Rev. Control..

[94]  Ludo Waltman,et al.  Software survey: VOSviewer, a computer program for bibliometric mapping , 2009, Scientometrics.

[95]  Daniel G. Bachrach,et al.  Scholarly Influence in the Field of Management: A Bibliometric Analysis of the Determinants of University and Author Impact in the Management Literature in the Past Quarter Century , 2008 .

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

[97]  B. Baltagi,et al.  WORLDWIDE ECONOMETRICS RANKINGS: 1989–2005 , 2007, Econometric Theory.

[98]  Ricky W. Griffin,et al.  The Journal of Management's First 30 Years , 2006 .

[99]  Chaomei Chen,et al.  CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature , 2006, J. Assoc. Inf. Sci. Technol..

[100]  Marjori Matzke,et al.  F1000Prime recommendation of An index to quantify an individual's scientific research output. , 2005 .

[101]  Christian Genest,et al.  Worldwide research output in probability and statistics: An update , 2002 .

[102]  Prashant M. Ambad,et al.  Industry 4.0 – A Glimpse , 2018 .

[103]  Lei Shu,et al.  Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges , 2018, IEEE Access.

[104]  Pranab K. Muhuri,et al.  A Review of the Scopes and Challenges of the Modern Real-Time Operating Systems , 2018, Int. J. Embed. Real Time Commun. Syst..

[105]  Athanasios V. Vasilakos,et al.  A review of industrial wireless networks in the context of Industry 4.0 , 2015, Wireless Networks.

[106]  Xuefeng Chen,et al.  The concept and progress of intelligent spindles: A review , 2017 .

[107]  José M. Merigó,et al.  Fuzzy decision making: A bibliometric-based review , 2017, J. Intell. Fuzzy Syst..

[108]  Eberhard Abele,et al.  Learning factories for future oriented research and education in manufacturing , 2017 .

[109]  Ying Liu,et al.  A categorical framework of manufacturing for industry 4.0 and beyond , 2016 .

[110]  Amy J. C. Trappey,et al.  A Review of Technology Standards and Patent Portfolios for Enabling Cyber-Physical Systems in Advanced Manufacturing , 2016, IEEE Access.

[111]  Andreas Schumacher,et al.  A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises , 2016 .

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

[113]  Rajkumar Roy,et al.  Continuous maintenance and the future – Foundations and technological challenges , 2016 .

[114]  G. Seliger,et al.  Opportunities of Sustainable Manufacturing in Industry 4.0 , 2016 .

[115]  H. Kagermann.  Change Through Digitization—Value Creation in the Age of Industry 4.0 , 2015 .

[116]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[117]  Detlef Zühlke,et al.  Lean Automation enabled by Industry 4.0 Technologies , 2015 .

[118]  Mathias Schmitt,et al.  Towards Industry 4.0 - Standardization as the crucial challenge for highly modular, multi-vendor production systems , 2015 .

[119]  Marcel Bogers,et al.  on Intelligent Manufacturing and Automation , 2013 The Smart Factory : Exploring Adaptive and Flexible Manufacturing Solutions , 2014 .

[120]  Jay Lee,et al.  Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment , 2014 .

[121]  Peter Luksch,et al.  Mathematics 1868–2008: a bibliometric analysis , 2010, Scientometrics.