Industry 4.0 technologies: Implementation patterns in manufacturing companies
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IoT and CPS are among the significant driving forces behind Industry 4.0, particularly smart manufacturing.
“The Internet of Things (IoT) and Cyber-Physical Systems (CPS) are among the significant driving forces behind Industry 4.0 [153], in particular smart manufacturing [82].”
From A Systematic Review of Data Quality in CPS and IoT for Industry 4.0 (2023) · cites this paper as [82]
Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344428 · Cited by 35,801 · see citing works
The NIST Definition of Cloud Computing
Mell, P., & Grance, T. (2011) · doi:10.6028/nist.sp.800-145 · Cited by 15,338 · see citing works
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222 · see citing works
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390 · see citing works
Hanrahan, G. (2008) · CRC Press eBooks · doi:10.1201/9781420067972-10 · Cited by 8,196 · see citing works
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
Lee, J., Bagheri, B., & Kao, H.-A. (2015) · Manufacturing Letters · doi:10.1016/j.mfglet.2014.12.001 · Cited by 5,113 · see citing works
An Examination of Procedures for Determining the Number of Clusters in a Data Set
Milligan, G. W., & Cooper, M. C. (1985) · Psychometrika · doi:10.1007/bf02294245 · Cited by 3,891 · see citing works
Intelligent Manufacturing in the Context of Industry 4.0: A Review
Zhong, R. Y., Xu, X. W., Klotz, E., & Newman, S. T. (2017) · Engineering · doi:10.1016/j.eng.2017.05.015 · Cited by 3,045 · see citing works
Industry 4.0: A survey on technologies, applications and open research issues
Lu, Y. (2017) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2017.04.005 · Cited by 3,012 · see citing works
Digital twin-driven product design, manufacturing and service with big data
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-0233-1 · Cited by 2,920 · see citing works
How Smart, Connected Products Are Transforming Competition
Porter, M. E., & Heppelmann, J. E. (2014) · Harvard business review · Cited by 2,600 · see citing works
Industry Platforms and Ecosystem Innovation
Gawer, A., & Cusumano, M. A. (2014) · Journal of Product Innovation Management · doi:10.1111/jpim.12105 · Cited by 2,394 · see citing works
The expected contribution of Industry 4.0 technologies for industrial performance
Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018) · International Journal of Production Economics · doi:10.1016/j.ijpe.2018.08.019 · Cited by 2,201 · see citing works
Self-citationPast, present and future of Industry 4.0—A systematic literature review and research agenda proposal
Liao, Y., Deschamps, F., Loures, E. D. F. R., & Ramos, L. F. P. (2017) · International Journal of Production Research · doi:10.1080/00207543.2017.1308576 · Cited by 2,036 · see citing works
Data-driven smart manufacturing
Tao, F., Qi, Q., Liu, A., & Kusiak, A. (2018) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2018.01.006 · Cited by 1,934 · see citing works
How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study
Fosso Wamba, S., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2014.12.031 · Cited by 1,905 · see citing works
How Smart, Connected Products Are Transforming Competition
ポーター, マ. E., ヘプルマン, ジ. E., & 有賀, 裕. (2015) · Harvard business review · Cited by 1,550 · see citing works
Implementing Smart Factory of Industrie 4.0: An Outlook
Wang, S., Wan, J., Li, D., & Zhang, C. (2016) · International Journal of Distributed Sensor Networks · doi:10.1155/2016/3159805 · Cited by 1,527 · see citing works
The industrial internet of things (IIoT): An analysis framework
Boyes, H. A., Hallaq, B., Cunningham, J., & Watson, T. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.04.015 · Cited by 1,496 · see citing works
Wang, S., Wan, J., Zhang, D., Li, D., & Zhang, C. (2016) · Computer Networks · doi:10.1016/j.comnet.2015.12.017 · Cited by 1,408 · see citing works
(2015) · Cited by 1,282 · see citing works
Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0
Müller, J. M., Buliga, O., & Voigt, K.-I. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.12.019 · Cited by 1,262 · see citing works
“Industrie 4.0” and Smart Manufacturing – A Review of Research Issues and Application Examples
Thoben, K., Wiesner, S., Wuest, T., & Industrial and Management Systems Engineering (2017) · International Journal of Automation Technology · doi:10.20965/ijat.2017.p0004 · Cited by 1,148 · see citing works
Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2018) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2018.10.005 · Cited by 1,121 · see citing works
Jabbour, A. B. L. D. S., Jabbour, C. J. C., Foropon, C. R. H., & Filho, M. G. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.01.017 · Cited by 1,044 · see citing works
Current status and advancement of cyber-physical systems in manufacturing
Wang, L., Törngren, M., & Onori, M. (2015) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2015.04.008 · Cited by 948 · see citing works
Weller, C., Kleer, R., & Piller, F. T. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2015.02.020 · Cited by 785 · see citing works
The evolution of production systems from Industry 2.0 through Industry 4.0
Yin, Y., Stecke, K. E., & Li, D. (2017) · International Journal of Production Research · doi:10.1080/00207543.2017.1403664 · Cited by 721 · see citing works
The role of digital technologies for the service transformation of industrial companies
Ardolino, M., Rapaccini, M., Saccani, N., Gaiardelli, P., Crespi, G., & Ruggeri, C. (2017) · International Journal of Production Research · doi:10.1080/00207543.2017.1324224 · Cited by 714 · see citing works
Joshi, A., & Giménez, E. L. (2014) · Harvard business review · Cited by 695 · see citing works
Ivanov, D., Dolgui, A. B., Sokolov, B., Werner, F. M., & Іванова, М. (2015) · International Journal of Production Research · doi:10.1080/00207543.2014.999958 · Cited by 566 · see citing works
Longo, F., Nicoletti, L., & Padovano, A. (2017) · Computers & Industrial Engineering · doi:10.1016/j.cie.2017.09.016 · Cited by 560 · see citing works
Industrial Internet of Things and Cyber Manufacturing Systems
Jeschke, S., Brecher, C., Meisen, T., Özdemir, D., & Eschert, T. (2016) · Springer series in wireless technology · doi:10.1007/978-3-319-42559-7_1 · Cited by 536 · see citing works
IoT powered servitization of manufacturing – an exploratory case study
Rymaszewska, A., Helo, P., & Gunasekaran, A. (2017) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.02.016 · Cited by 535 · see citing works
Stock, T. W., Obenaus, M., Kunz, S., & Kohl, H. (2018) · Process Safety and Environmental Protection · doi:10.1016/j.psep.2018.06.026 · Cited by 522 · see citing works
The value of Big Data in servitization
Opresnik, D., & Taisch, M. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2014.12.036 · Cited by 521 · see citing works
Notes from the Editors: Redefining some methodological criteria for the journal⋆
Guide, V. D. R., & Ketokivi, M. A. (2015) · Journal of Operations Management · doi:10.1016/s0272-6963(15)00056-x · Cited by 505 · see citing works
Industry 4.0: The Industrial Internet of Things
Gilchrist, A. (2016) · Cited by 472 · see citing works
Babiceanu, R. F., & Seker, R. (2016) · Computers in Industry · doi:10.1016/j.compind.2016.02.004 · Cited by 461 · see citing works
Digitalized Product-Service Systems in Manufacturing Firms: A Case Study Analysis
Lerch, C., & Gotsch, M. (2015) · Research-Technology Management · doi:10.5437/08956308x5805357 · Cited by 418 · see citing works
Ahuett-Garza, H., & Kurfess, T. (2018) · Manufacturing Letters · doi:10.1016/j.mfglet.2018.02.011 · Cited by 284 · see citing works
Extracting and mapping industry 4.0 technologies using wikipedia
Chiarello, F., Trivelli, L., Bonaccorsi, A., & Fantoni, G. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.04.006 · Cited by 230 · see citing works
Industry 4.0 implementation for multinationals
Telukdarie, A., Buhulaiga, E., Bag, S., Gupta, S., & Luo, Z. (2018) · Process Safety and Environmental Protection · doi:10.1016/j.psep.2018.06.030 · Cited by 212 · see citing works
Frank, A. G., Cortimiglia, M. N., Ribeiro, J. L. D., et al. (2015) · Research Policy · doi:10.1016/j.respol.2015.11.011 · Cited by 207 · see citing works
Self-citationDiscrete Event Simulation and Virtual Reality Use in Industry: New Opportunities and Future Trends
Turner, C. J., Hutabarat, W., Oyekan, J. O., et al. (2016) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2016.2596099 · Cited by 205 · see citing works
Cortimiglia, M. N., Ghezzi, A., & Frank, A. G. (2016) · R&D Management · doi:10.1111/radm.12113 · Cited by 194 · see citing works
Self-citationRoss, S. M. (2010) · Elsevier eBooks · doi:10.1016/b978-0-12-374388-6.50002-7 · Cited by 181 · see citing works
Lu, H., & Weng, C.-I. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.03.005 · Cited by 171 · see citing works
Current trends on ICT technologies for enterprise information systems
Kadiri, S. E., Grabot, B., Thoben, K., Hribernik, K., Emmanouilidis, C., von Cieminski, G., & Kiritsis, D. (2015) · Computers in Industry · doi:10.1016/j.compind.2015.06.008 · Cited by 168 · see citing works
Open Business Models and Closed-Loop Value Chains: Redefining the Firm-Consumer Relationship
Kortmann, S., & Piller, F. T. (2016) · California Management Review · doi:10.1525/cmr.2016.58.3.88 · Cited by 164 · see citing works
Contextual factors and lean production implementation in the Brazilian automotive supply chain
Marodin, G. A., Frank, A. G., Tortorella, G. L., & Saurin, T. A. (2016) · Supply Chain Management: An International Journal · doi:10.1108/scm-05-2015-0170 · Cited by 159 · see citing works
Self-citationAyala, N. F., Paslauski, C. A., Ghezzi, A., & Frank, A. G. (2017) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.08.019 · Cited by 158 · see citing works
Self-citationYu, C., Xu, X. W., & Lu, Y. (2015) · Manufacturing Letters · doi:10.1016/j.mfglet.2015.11.005 · Cited by 140 · see citing works
Can You Hear Me Now? Communication in Virtual Product Development Teams<sup>*</sup>
Montoya, M. M., Massey, A. P., Hung, Y. C., & Crisp, C. B. (2009) · Journal of Product Innovation Management · doi:10.1111/j.1540-5885.2009.00342.x · Cited by 135 · see citing works
Managing servitization in product companies: the moderating role of service suppliers
Ayala, N. F., Gerstlberger, W. D., & Frank, A. G. (2018) · International Journal of Operations & Production Management · doi:10.1108/ijopm-08-2017-0484 · Cited by 135 · see citing works
Self-citationUbiquitous manufacturing: Current practices, challenges, and opportunities
Chen, T., & Tsai, H.-R. (2016) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2016.01.001 · Cited by 132 · see citing works
Introduction and establishment of virtual training in the factory of the future
Gorecky, D., Khamis, M., & Mura, K. (2015) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2015.1067918 · Cited by 126 · see citing works
Scurati, G. W., Gattullo, M., Fiorentino, M., et al. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.02.001 · Cited by 125 · see citing works
Elia, V., Gnoni, M. G., & Lanzilotto, A. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.07.006 · Cited by 119 · see citing works
Lean production and operational performance in the Brazilian automotive supply chain
Marodin, G. A., Frank, A. G., Tortorella, G. L., & Fetterman, D. C. (2019) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2017.1308221 · Cited by 111 · see citing works
Self-citationMarkerless Kinect-Based Hand Tracking for Robot Teleoperation
Du, G., Zhang, P., Mai, J., & -, Z. L. (2012) · International Journal of Advanced Robotic Systems · doi:10.5772/50093 · Cited by 110 · see citing works
Angeles, R. (2009) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2008.09.001 · Cited by 103 · see citing works
Marodin, G. A., Tortorella, G. L., Frank, A. G., & Filho, M. G. (2017) · Supply Chain Management An International Journal · doi:10.1108/scm-10-2016-0350 · Cited by 103 · see citing works
Self-citationvan der Kamp, B. J., Ochoa, A., & Diaz, J. (2016) · International Journal on Interactive Design and Manufacturing (IJIDeM) · doi:10.1007/s12008-016-0345-0 · Cited by 87 · see citing works
RFID-enabled flexible warehousing
Zhou, W., Piramuthu, S., Chu, F., et al. (2017) · Decision Support Systems · doi:10.1016/j.dss.2017.05.002 · Cited by 82 · see citing works
Guo, Z., Zhou, D., Chen, J., et al. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.06.007 · Cited by 81 · see citing works
(2010) · Elsevier eBooks · doi:10.1016/c2009-0-28078-0 · Cited by 75 · see citing works
Concept and Diffusion-Factors of Industry 4.0 in the Supply Chain
Pfohl, H., Yahsi, B., & Kurnaz, T. (2016) · Lecture notes in logistics · doi:10.1007/978-3-319-45117-6_33 · Cited by 69 · see citing works
Lin, H. W., Nagalingam, S. V., Kuik, S. S., et al. (2011) · International Journal of Production Economics · doi:10.1016/j.ijpe.2011.07.001 · Cited by 64 · see citing works
Raguseo, E., Gastaldi, L., & Neirotti, P. (2016) · Evidence-based HRM a Global Forum for Empirical Scholarship · doi:10.1108/ebhrm-01-2016-0004 · Cited by 50 · see citing works
Big Data Drives Cloud Adoption in Enterprise
Liu, H. (2013) · IEEE Internet Computing · doi:10.1109/mic.2013.63 · Cited by 45 · see citing works
A Virtual Commissioning Learning Platform
Mortensen, S. T., & Madsen, O. (2018) · Procedia Manufacturing · doi:10.1016/j.promfg.2018.03.167 · Cited by 45 · see citing works
Sadiku, M. N. O., Wang, Y., Cui, S., et al. (2017) · International Journal of Advances in Scientific Research and Engineering · doi:10.7324/ijasre.2017.32538 · Cited by 40 · see citing works
Towards the integration of flexible manufacturing system scheduling
Balogun, O., & Popplewell, K. (1999) · International Journal of Production Research · doi:10.1080/002075499190112 · Cited by 35 · see citing works
Beyond make-or-buy: cross-company short-term capacity backup in semiconductor industry ecosystem
Chien, C., & Kuo, R.-T. (2011) · Flexible Services and Manufacturing Journal · doi:10.1007/s10696-011-9113-4 · Cited by 31 · see citing works
Enrique, D. V., Ayala, N. F., Lima, M. D. R. F., Marodin, G. A., Gzara, L., & Frank, A. G. (2018) · Production · doi:10.1590/0103-6513.20170099 · Cited by 20 · see citing works
Self-citationSmart work: supporting employees' flexibility through ICT, HR practices and office layout
Raguseo, E., Gastaldi, L., & Neirotti, P. (2016) · PORTO Publications Open Repository TOrino (Politecnico di Torino) · Cited by 10 · see citing works
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- Authors
- Frank, A. G., Dalenogare, L. S., & Ayala, N. F.
- Affiliations
- Institut polytechnique de Grenoble (FR)
- Corresponding author
- Frank, Alejandro Germán
- Venue
- International Journal of Production Economics
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 210
- Pages
- 15-26
- ISSN
- 0925-5273 (ISSN-L)
- OpenAlex
- W2908815325
- Cited by
- 2,958
- References
- 78
- Citations by year
- 2026: 391 · 2025: 419 · 2024: 486 · 2023: 488 · 2022: 466 · 2021: 388 · 2020: 245 · 2019: 71 · 2018: 2 · 2014: 1
- FWCI
- 215.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Production Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- CPS
- National Council for Scientific and Technological Development
- CNPq (305844/2015-6)
- FAPERGS (17/2551-0001)
- Brazilian Ministry of Education
- CAPES
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Keywords
- Industry 4.0, technology adoption, manufacturing companies, smart manufacturing, smart products, smart supply chain, smart working, Internet of Things, cloud services, big data analytics, conceptual framework
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