The industrial management of SMEs in the era of Industry 4.0
Open accessAbstract
Industry 4.0 provides new paradigms for the industrial management of SMEs. Supported by a growing number of new technologies, this concept appears more flexible and less expensive than traditional enterprise information systems such as ERP and MES. However, SMEs find themselves ill-equipped to face these new possibilities regarding their production planning and control functions. This paper presents a literature review of existing applied research covering different Industry 4.0 issues with regard to SMEs. Papers are classified according to a new framework which allows identification of the targeted performance objectives, the required managerial capacities and the selected group of technologies for each selected case. Our results show that SMEs do not exploit all the resources for implementing Industry 4.0 and often limit themselves to the adoption of Cloud Computing and the Internet of Things. Likewise, SMEs seem to have adopted Industry 4.0 concepts only for monitoring industrial processes and there is still absence of real applications in the field of production planning. Finally, our literature review shows that reported Industry 4.0 projects in SMEs remained cost-driven initiatives and there in still no evidence of real business model transformation at this time.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The process of implementing digital solutions can be quite a challenge for SMEs.
“In addition, the process of implementation of these solutions can be quite a challenge for the enterprises in question [11].”
From Digitalization of Small and Medium-Sized Enterprises and Economic Growth: Evidence for the EU-27 Countries (2022) · cites this paper as [11]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
(1994) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(94)92216-0 · Cited by 46,726 · see citing works
MapReduce: simplified data processing on large clusters
Dean, J., & Ghemawat, S. (2008) · Communications of the ACM · doi:10.1145/1327452.1327492 · Cited by 18,476 · see citing works
Tranfield, D., Denyer, D., & Smart, P. (2003) · British Journal of Management · doi:10.1111/1467-8551.00375 · Cited by 15,386 · see citing works
(2004) · Cited by 3,245 · 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
Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment
Lee, J., Kao, H.-A., & Yang, S. (2014) · Procedia CIRP · doi:10.1016/j.procir.2014.02.001 · Cited by 1,965 · see citing works
A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises
Schumacher, A., Erol, S., & Sihn, W. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.07.040 · Cited by 1,766 · cited 2× · see citing works
“For Schumacher, Erol, and Sihn (2016), Industry 4.0 refers to recent technological advances where the internet and supporting technologies (e.g. embedded systems) serve as a backbone to integrating physical objects, human actors, intelligent machines, product lines and processes across…”
BackgroundInfluentialImplementing 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
Conducting content‐analysis based literature reviews in supply chain management
Seuring, S. A., & Gold, S. (2012) · Supply Chain Management An International Journal · doi:10.1108/13598541211258609 · Cited by 1,276 · see citing works
Critical success factors for lean implementation within SMEs
Achanga, P. C., Shehab, E., Roy, R., & Nelder, G. (2006) · Journal of Manufacturing Technology Management · doi:10.1108/17410380610662889 · Cited by 1,008 · 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
Ohno, T., & Bodek, N. (2019) · Productivity Press eBooks · doi:10.4324/9780429273018 · Cited by 796 · see citing works
Performance measurement systems in SMEs: A review for a research agenda
Garengo, P., Biazzo, S., & Bititci, U. (2005) · International Journal of Management Reviews · doi:10.1111/j.1468-2370.2005.00105.x · Cited by 756 · see citing works
The usage and adoption of cloud computing by small and medium businesses
Gupta, P., Seetharaman, A., & Raj, J. R. (2013) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2013.07.001 · Cited by 631 · see citing works
Lean Automation enabled by Industry 4.0 Technologies
Kolberg, D., & Zühlke, D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.359 · Cited by 617 · see citing works
The Smart Factory: Exploring Adaptive and Flexible Manufacturing Solutions
Radziwon, A., Bilberg, A., Bogers, M. L. A. M., & Madsen, E. S. (2014) · Procedia Engineering · doi:10.1016/j.proeng.2014.03.108 · Cited by 483 · 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
Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment
Bagheri, B., Yang, S., Kao, H.-A., & Lee, J. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.318 · Cited by 361 · see citing works
Trappey, A. J. C., Trappey, C. V., Govindarajan, U. H., Chuang, A. C., & Sun, J. J. H. (2016) · Advanced Engineering Informatics · doi:10.1016/j.aei.2016.11.007 · Cited by 358 · see citing works
Distributed manufacturing: scope, challenges and opportunities
Srai, J. S., Kumar, M., Graham, G., Phillips, W., Tooze, J., Ford, S. J., Beecher, P., Raj, B., Gregory, M., Tiwari, M. K., et al. (2016) · International Journal of Production Research · doi:10.1080/00207543.2016.1192302 · Cited by 336 · see citing works
Li, W., Liu, K., Belitski, M., Ghobadian, A., & O’Regan, N. (2016) · Journal of Information Technology · doi:10.1057/jit.2016.10 · Cited by 327 · see citing works
Secure routing for internet of things: A survey
Airehrour, D., Gutiérrez, J., & Ray, S. K. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.03.006 · Cited by 323 · see citing works
An interoperable solution for Cloud manufacturing
Wang, X. V., & Xu, X. W. (2013) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2013.01.005 · Cited by 291 · see citing works
Cloud manufacturing: from concept to practice
Ren, L., Li, Z., Tao, F., Zhao, C., Chai, X., & Zhao, X. (2013) · Enterprise Information Systems · doi:10.1080/17517575.2013.839055 · Cited by 262 · see citing works
Manufacturing execution system – a literature review
Saenz de Ugarte, B., Artiba, A., & Pellerin, R. (2009) · Production Planning & Control · doi:10.1080/09537280902938613 · Cited by 213 · see citing works
Self-citationCloud manufacturing service platform for small- and medium-sized enterprises
Huang, B., Li, C., Yin, C., & Zhao, X. (2012) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-012-4255-4 · Cited by 194 · see citing works
Cloud-assisted industrial cyber-physical systems: An insight
Yue, X., Cai, H., Yan, H., Zou, C., & Zhou, K. (2015) · Microprocessors and Microsystems · doi:10.1016/j.micpro.2015.08.013 · Cited by 186 · see citing works
Perceived performance effects of ICT in manufacturing SMEs
Bayo‐Moriones, A., Currás, M. B., & Lera‐López, F. (2013) · Industrial Management & Data Systems · doi:10.1108/02635571311289700 · Cited by 182 · see citing works
The Toyota way: 14 management principles from the world's greatest manufacturer
Krijnen, A. (2007) · Action Learning Research and Practice · doi:10.1080/14767330701234002 · Cited by 167 · see citing works
Big data analytics with applications
Bi, Z., & Cochran, D. S. (2014) · Journal of Management Analytics · doi:10.1080/23270012.2014.992985 · Cited by 165 · see citing works
Towards industrial internet of things: Crankshaft monitoring, traceability and tracking using RFID
Segura-Velandia, D., Kaur, N., Whittow, W. G., CONWAY, P. P., & West, A. A. (2016) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2016.02.004 · Cited by 144 · see citing works
The role of wearable devices in meeting the needs of cloud manufacturing: A case study
Hao, Y., & Helo, P. (2015) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2015.10.001 · Cited by 136 · see citing works
Investigating factors affecting ERP selection in made‐to‐order SME sector
Deep, A., Guttridge, P., Dani, S., & Burns, N. D. (2008) · Journal of Manufacturing Technology Management · doi:10.1108/17410380810869905 · Cited by 117 · see citing works
Managing Innovative Production Network of Smart Factories
Veža, I., Mladineo, M., & Gjeldum, N. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.139 · Cited by 112 · see citing works
Operations management and advanced manufacturing technologies in SMEs
Raymond, L. (2005) · Journal of Manufacturing Technology Management · doi:10.1108/17410380510627898 · Cited by 108 · see citing works
Change and uncertainty in SME manufacturing environments using ERP
Koh, S. C. L., & Simpson, M. (2005) · Journal of Manufacturing Technology Management · doi:10.1108/17410380510609483 · Cited by 103 · see citing works
Critical factors of MRP implementation in small and medium‐sized firms
Petroni, A. (2002) · International Journal of Operations & Production Management · doi:10.1108/01443570210417623 · Cited by 102 · see citing works
Italian Craft Firms Between Digital Manufacturing, Open Innovation, and Servitization
Bonfanti, A., Giudice, M. D., & Papa, A. (2015) · Journal of the Knowledge Economy · doi:10.1007/s13132-015-0325-9 · Cited by 102 · see citing works
Virtual factory system design and implementation: integrated sustainable manufacturing
Hao, Y., Helo, P., & Shamsuzzoha, A. (2016) · International Journal of Systems Science Operations & Logistics · doi:10.1080/23302674.2016.1242819 · Cited by 93 · see citing works
Heuskel, D., & Claas, B. (2005) · Gabler Verlag eBooks · doi:10.1007/978-3-322-82497-4_70 · Cited by 89 · see citing works
Moeuf, A., Tamayo, S., Lamouri, S., et al. (2016) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2016.07.552 · Cited by 84 · see citing works
Self-citationTechnology adoption in small and medium‐sized logistics providers
Evangelista, P., McKinnon, A. C., & Sweeney, E. (2013) · Industrial Management & Data Systems · doi:10.1108/imds-10-2012-0374 · Cited by 75 · see citing works
Factory Templates for Digital Factories Framework
Azevedo, A. L., & Almeida, A. (2011) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2011.02.004 · Cited by 72 · see citing works
A dynamic multi-agent-based scheduling approach for SMEs
Barenji, A. V., Barenji, R. V., Roudi, D., et al. (2016) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-016-9299-4 · Cited by 69 · see citing works
A methodology to develop collaborative robotic cyber physical systems for production environments
Khalid, A., Kirisci, P. T., Ghrairi, Z., Thoben, K., & Pannek, J. (2016) · Logistics Research · doi:10.1007/s12159-016-0151-x · Cited by 68 · see citing works
Xia, M., Li, T., Zhang, Y., & de Silva, C. W. (2016) · Computer Networks · doi:10.1016/j.comnet.2015.12.016 · Cited by 62 · see citing works
Framework for performance measurement and management in a collaborative business environment
Ferreira, P. S., Shamsuzzoha, A., Toscano, C., & Cunha, P. F. (2012) · International Journal of Productivity and Performance Management · doi:10.1108/17410401211249210 · Cited by 62 · see citing works
Construction of a computer-simulated mixed reality environment for virtual factory layout planning
Lee, J., Han, S., & Yang, J. (2010) · Computers in Industry · doi:10.1016/j.compind.2010.07.001 · Cited by 58 · see citing works
Decision support system for servitization of industrial SMEs: a modelling and simulation approach
Chalal, M., Boucher, X., & Marquès, G. (2015) · Journal of Decision System · doi:10.1080/12460125.2015.1074836 · Cited by 58 · see citing works
ICT-based solution approach for collaborative delivery of customised products
Shamsuzzoha, A., Toscano, C., Carneiro, L. M., Kumar, P. V., & Helo, P. (2016) · Production Planning & Control · doi:10.1080/09537287.2015.1123322 · Cited by 58 · see citing works
Generic machining process sequencing through a revised enriched machining feature concept
Givehchi, M., Haghighi, A., & Wang, L. (2015) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2015.04.004 · Cited by 57 · see citing works
Data Mining Approach for Knowledge-based Process Planning
Denkena, B., Schmidt, J., & Krüger, M. (2014) · Procedia Technology · doi:10.1016/j.protcy.2014.09.095 · Cited by 53 · see citing works
Virtual Fort Knox Federative, Secure and Cloud-based Platform for Manufacturing
Holtewert, P., Wutzke, R., Seidelmann, J., & Bauernhansl, T. (2013) · Procedia CIRP · doi:10.1016/j.procir.2013.06.027 · Cited by 53 · see citing works
Massive sensor data management framework in Cloud manufacturing based on Hadoop
Bao, Y., Ren, L., Li, Z., et al. (2012) · 2022 IEEE 20th International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin.2012.6301192 · Cited by 51 · see citing works
Michniewicz, J., & Reinhart, G. (2014) · Procedia Technology · doi:10.1016/j.protcy.2014.09.017 · Cited by 49 · see citing works
Common engines of cloud manufacturing service platform for SMEs
Song, T., Liu, H., Wei, C., et al. (2014) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-014-5863-y · Cited by 48 · see citing works
A study on manufacturing resource planning (MRP II) practices in Singapore
Sum, C. C., & Yang, K.-K. (1993) · Omega · doi:10.1016/0305-0483(93)90051-l · Cited by 37 · see citing works
Building blocks for adaptable factory systems
Horbach, S., Ackermann, J., Müller, E., et al. (2011) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2010.12.011 · Cited by 36 · see citing works
Digital Factory Approach for Flexible and Efficient Manufacturing Systems in the Aerospace Industry
Caggiano, A., Caiazzo, F., & Teti, R. (2015) · Procedia CIRP · doi:10.1016/j.procir.2015.08.015 · Cited by 35 · see citing works
Abdul-Nour, G., Lambert, S., & Drolet, J. R. (1998) · Computers & Industrial Engineering · doi:10.1016/s0360-8352(98)00123-5 · Cited by 35 · see citing works
Digital business ecosystem prototyping for SMEs
Herdon, M., Várallyai, L., & Péntek, Á. (2012) · Journal of Systems and Information Technology · doi:10.1108/13287261211279026 · Cited by 34 · see citing works
Exoskeleton-centered Process Optimization in Advanced Factory Environments
Constantinescu, C., Popescu, D., Muresan, P.-C., et al. (2016) · Procedia CIRP · doi:10.1016/j.procir.2015.12.051 · Cited by 30 · see citing works
Big data projects: just jump right in!
MOUSANNIF, H. M., Sabah, H., Douiji, Y., et al. (2016) · International Journal of Pervasive Computing and Communications · doi:10.1108/ijpcc-04-2016-0023 · Cited by 27 · see citing works
Knowledge-enriched shop floor control in end-of-life business
Cao, H. Y., Folan, P., Potter, D., et al. (2010) · Production Planning & Control · doi:10.1080/09537281003769980 · Cited by 26 · see citing works
Constantinescu, C., Francalanza, E., Matarazzo, D., et al. (2014) · Procedia CIRP · doi:10.1016/j.procir.2014.10.038 · Cited by 25 · see citing works
Mauricio-Moreno, H., Miranda, J., Chavarría-Barrientos, D., et al. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.058 · Cited by 24 · see citing works
A structured approach for customised production in SME collaborative networks
Fornasiero, R., & Zangiacomi, A. (2012) · International Journal of Production Research · doi:10.1080/00207543.2012.706718 · Cited by 24 · see citing works
Supplier replenishment policy using e-Kanban: A framework for successful implementation
MacKerron, G., Kumar, M., Kumar, P. V., et al. (2013) · Production Planning & Control · doi:10.1080/09537287.2013.782950 · Cited by 22 · see citing works
Scenario-based Simulation Approach for Layout Planning
Dombrowski, U., & Ernst, S. (2013) · Procedia CIRP · doi:10.1016/j.procir.2013.09.061 · Cited by 21 · see citing works
Digital Object Memory Based Monitoring Solutions in Manufacturing Processes
Aruväli, T., Maaß, W., & Otto, T. (2014) · Procedia Engineering · doi:10.1016/j.proeng.2014.03.011 · Cited by 21 · see citing works
Employing Smart Units and Servitization towards Reconfigurability of Manufacturing Processes
Brad, S., & Murar, M. (2015) · Procedia CIRP · doi:10.1016/j.procir.2015.02.154 · Cited by 17 · see citing works
Operator allocation planning for reconfigurable production line in one-of-a-kind production
Luo, X., Li, W., Tu, Y., et al. (2010) · International Journal of Production Research · doi:10.1080/00207540903555486 · Cited by 17 · see citing works
Identification of Key Machines in Complex Production Networks
Becker, T., & Wagner, D. (2016) · Procedia CIRP · doi:10.1016/j.procir.2015.12.006 · Cited by 16 · see citing works
Constantinescu, C., Francalanza, E., & Matarazzo, D. (2015) · Procedia CIRP · doi:10.1016/j.procir.2015.06.006 · Cited by 15 · see citing works
Computer assisted glass mosaic tiling automation
Çayiroğlu, İ., & Demir, B. E. (2012) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2012.02.008 · Cited by 15 · see citing works
Agent Oriented Construction of a Digital Factory for Validation of a Production Scenario
Matsuda, M., Kashiwase, K., & Sudo, Y. (2012) · Procedia CIRP · doi:10.1016/j.procir.2012.07.021 · Cited by 15 · see citing works
Kopáček, P. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.12.050 · Cited by 15 · see citing works
A model-driven approach to enabling change capability in SMEs
Masood, T., Weston, R., & Rahimifard, A. (2013) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-013-4853-9 · Cited by 13 · see citing works
Caggiano, A., & Teti, R. (2013) · Procedia CIRP · doi:10.1016/j.procir.2013.09.073 · Cited by 13 · see citing works
Make-to-XGrade for the Design and Manufacturing of Flexible, Adaptive, and Reactive Products
Mehrsai, A., Henriksen, B., Røstad, C. C., et al. (2014) · Procedia CIRP · doi:10.1016/j.procir.2014.03.147 · Cited by 11 · see citing works
Interpretation and optimization of material flow via system behavior reconstruction
Denkena, B., Dengler, B., Doreth, K., et al. (2014) · Production Engineering · doi:10.1007/s11740-014-0545-z · Cited by 11 · see citing works
A Multi-agent Based Construction of the Digital Eco-factory for a Printed-circuit Assembly Line
Matsuda, M., Sudo, Y., & Kimura, F. (2016) · Procedia CIRP · doi:10.1016/j.procir.2015.12.061 · Cited by 11 · see citing works
Tolerance Design and Adjustment of Complex Customized Product Based on Cloud Manufacturing
Wu, Z., Gao, Z., Cao, Y., et al. (2015) · Procedia CIRP · doi:10.1016/j.procir.2015.04.061 · Cited by 10 · see citing works
A collaborative manufacturing execution platform for space product development
Peng, G., Yang, J., Xu, J., et al. (2011) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-011-3837-x · Cited by 8 · see citing works
Case study: production planning and control ‐ selection, improvement and implementation
McGarrie, B. (1998) · Logistics Information Management · doi:10.1108/09576059810202268 · Cited by 8 · see citing works
Cullinan, C. P., Sutton, S. G., & Arnold, V. (2010) · Advances in accounting behavioral research · doi:10.1108/s1475-1488(2010)0000013005 · Cited by 8 · see citing works
Walkowiak, S. (2016) · Cited by 7 · see citing works
An improved genetic algorithm approach for on-line optimisation problems
de Ugarte, B. S., Pellerin, R., & Artiba, A. (2011) · Production Planning & Control · doi:10.1080/09537287.2010.543556 · Cited by 6 · see citing works
Self-citationModel Oriented System Design on Big-data
Kushiro, N., Matsuda, S., & Takahara, K. (2014) · Procedia Computer Science · doi:10.1016/j.procs.2014.08.176 · Cited by 4 · see citing works
A Smart Adaptable Architecture Based on Contexts for Cyber Physical Systems
Rago, F. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.09.141 · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Adolphus, M. 2015. "How to carry out a literature review for a dissertation or research paper" [WWW Document]. Accessed January 1. https://www.emeraldgrouppublishing.com/research/guides/methods/literature2.htm
Cited by
Sorted by citations
Kristoffersen, E., Blomsma, F., Mikalef, P., & Li, J. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.07.044 · Cited by 841 · see citing works
Luthra, S., Kumar, A., Zavadskas, E. K., Mangla, S. K., & Garza-Reyes, J. A. (2020) · International Journal of Production Research · doi:10.1080/00207543.2019.1660828 · Cited by 376 · see citing works
Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system
Liu, Q., Zhang, H., Leng, J., & Chen, X. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1471243 · Cited by 370 · see citing works
Procurement 4.0 and its implications on business process performance in a circular economy
Bag, S., Wood, L. C., Mangla, S. K., & Luthra, S. (2020) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2019.104502 · Cited by 339 · see citing works
Moving towards digitalization: A multiple case study in manufacturing
Zangiacomi, A., Pessot, E., Fornasiero, R., Bertetti, M., & Sacco, M. (2020) · Production Planning & Control · doi:10.1080/09537287.2019.1631468 · Cited by 280 · see citing works
Butt, J. (2020) · Designs · doi:10.3390/designs4030017 · Cited by 247 · see citing works
Longo, F., Nicoletti, L., & Padovano, A. (2019) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2019.01.001 · Cited by 153 · see citing works
The evolution and future of lean Six Sigma 4.0
Antony, J., McDermott, O., Powell, D., & Sony, M. (2023) · The TQM Journal · doi:10.1108/tqm-04-2022-0135 · Cited by 124 · see citing works
Brodny, J., & Tutak, M. (2022) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc8020067 · Cited by 118 · see citing works
Industry’s 4.0 transformation process: How to start, where to aim, what to be aware of
Calabrese, A., Dora, M., Levialdi Ghiron, N., & Tiburzi, L. (2022) · Production Planning & Control · doi:10.1080/09537287.2020.1830315 · Cited by 109 · see citing works
Marketing Department, U. O. F. –. M., NGUYEN, X. T., & LUU, Q. K. (2020) · The Journal of Asian Finance, Economics and Business · doi:10.13106/jafeb.2020.vol7.no6.255 · Cited by 63 · see citing works
- Authors
- Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., & Barbaray, R.
- Affiliations
- Laboratoire Quartz (FR)
- Polytechnique Montréal (CA)
- LAMIH CNRS, Arts et Métiers ParisTech, Paris, France
- CAOR, Mines ParisTech, Paris, France
- Exxelia (France) (FR)
- Corresponding author
- Moeuf, Alexandre
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2017-09-08
- Volume
- 56
- Issue
- 3
- Pages
- 1118-1136
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W2753155801
- Cited by
- 1,188
- References
- 90
- Citations by year
- 2026: 84 · 2025: 116 · 2024: 126 · 2023: 189 · 2022: 176 · 2021: 199 · 2020: 164 · 2019: 101 · 2018: 28 · 2017: 5
- FWCI
- 89.33
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Journal of Production Research (publishedVersion)
- HAL (submittedVersion, cc-by-nc)
- RePEc: Research Papers in Economics (submittedVersion)
- PolyPublie (École Polytechnique de Montréal) (submittedVersion)
- SAM, the Arts et Métiers ParisTech open access repository (Paris Institute of Technology) (submittedVersion, cc-by-nc)
- 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
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Keywords
- Industry 4.0, small and medium-sized enterprises, industrial management, production planning and control, cloud computing, Internet of Things, industrial process monitoring, business model transformation, management skills, technology adoption
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
