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Industry 4.0 framework for management and operations: a review

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Abstract

The evolution of markets and customer requirements with highest level of precision, has been achieved created with technology and information systems, a new way of make the operations in the companies, and just the companies with the ability to adapt faster to technological innovations may remain on the market. The last industrial revolution, known as industry 4.0 perceives the operations as a holistic system, its represents a challenge that must be fulfilled and faced in order to achieve stability and permanence in the market, from the point of view of the world economies. In the organizational and business area all the operations must be linked to computer systems and management of information in the network, which causes greater efficiency in the flow. With this new perception of industry and the business, it involves different analytical tools that aim at bigger efficiency in the service to the consumers, resulting in a greater competitiveness in the market and making the differentiator. This work is one of the first surveys that provides an extensive analysis and review of 110 publications that appear from 1/01/12 to 20/02/17. The purpose of the study is to analyze categorically recent advances through qualitative and segmentation methods allowing to reveal trends and areas of opportunity in the industry sense of 4.0 in order to obtain research gaps that may be executed in organizational systems on the value chain. Another point is to be a reference in future research related to the categories selected in this study.

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References

  • Abeele FVd, Hoebeke J, Moerman I, Demeester P (2015) Integration of heterogeneous devices and communication models via the cloud in the constrained internet of things. Int J Distrib Sens Netw 2015:1

    Article  Google Scholar 

  • Albers A, Gladysz B, Pinner T, Butenko V, Strmlinger T (2016) Procedure for defining the system of objectives in the initial phase of an industry 4.0 project focusing on intelligent quality control systems. Proced CIRP 52:262–267

    Article  Google Scholar 

  • Amin SA, Ali-Eldin A, Ali HA (2015) A context-aware dispatcher for the internet of things: the case of electric power distribution systems. Comput Electr Eng (Elsevier) 52:183–198

    Article  Google Scholar 

  • Anderl R (2014) Industrie 4.0-advanced engineering of smart products and smart production. In: 19th International seminar on high technology, technological innovations in the product development, Piracicaba, Brazil, pp 1–14

  • Arca JG, Garrido ATGP, Prado JCP, Sacaluga AMM (2011) Sostenibilidad y mejora logstica: un caso prctico. In: XV Congreso de Ingeniera de Organizacion: Cartagena, 7 a 9 de septiembre de 2011, pp 712–721

  • Bagheri B, Yang S, Kao HA, Lee J (2015) Cyberphysical systems architecture for self-aware machines in industry 4.0 environment. IFAC PapersOnLine 48(3):1622–1627

    Article  Google Scholar 

  • Bahrin MAK, Othman MF, Nor NH, Azli MFT (2016) Industry 4.0: a review on industrial automation and robotic. J Teknol 78(6–13):137–143

    Google Scholar 

  • Bartodziej CJ (2016) The concept industry 4.0: an empirical analysis of technologies and applications in production logistics. Springer, Berlin

    Google Scholar 

  • Batista N, Melcio R, Mendes V (2017) Services enabler architecture for smart grid and smart living services providers under industry 4.0. Energy Build (Elsevier) 141:16–27

    Article  Google Scholar 

  • Bauer W, Hmmerle M, Schlund S, Vocke C (2015) Transforming to a hyper-connected society and economy-towards an industry 4.0. Proced Manuf 3:417–424

    Article  Google Scholar 

  • Bogers M, Hadar R, Bilberg A (2016) Additive manufacturing for consumer-centric business models: implications for supply chains in consumer goods manufacturing. Technol Forecast Soc Change 102:225–239

    Article  Google Scholar 

  • Botthof A, Hartmann EA (2014) Zukunft der Arbeit in Industrie 4.0. Springer, Berlin

    Google Scholar 

  • Botthof A (2015) Zukunft der arbeit im kontext von autonomik und industrie 4.0. Zukunft der Arbeit in Industrie 4.0. Springer, Berlin, pp 3–8

    Chapter  Google Scholar 

  • Brettel M, Fischer FG, Bendig D, Weber AR, Wolff B (2016a) Enablers for self-optimizing production systems in the context of industrie 4.0. Proced CIRP 41:93–98

    Article  Google Scholar 

  • Brettel M, Klein M, Friederichsen N (2016b) The relevance of manufacturing exibility in the context of industrie 4.0. Proced CIRP 41:105–110

    Article  Google Scholar 

  • Chen F, Deng P, Wan J, Zhang D, Vasilakos AV, Rong X (2015) Data mining for the internet of things: literature review and challenges. Int J Distrib Sens Netw 2015:12

    Google Scholar 

  • Colom JF, Mora H, Gil D, Signes-Pont MT (2017) Collaborative building of behavioural models based on internet of things. Comput Electr Eng (Elsevier) 58:385–396

    Article  Google Scholar 

  • Dachyar M, Risky S (2014) Improving operational system performance of internet of things (IOT) in indonesia telecomunication company. IOP conference series: materials science and engineering, vol 58. IOP Publishing, Bristol, pp 01–05

    Google Scholar 

  • Davis J, Edgar T, Porter J, Bernaden J, Sarli M (2012) Smart manufacturing, manufacturing intelligence and demand-dynamic performance. Comput Chem Eng 47:145–156

    Article  Google Scholar 

  • Dombrowski U, Wagner T (2014) Mental strain as field of action in the 4th industrial revolution. Proced CIRP 17:100–105

    Article  Google Scholar 

  • Elo S, Kääriäinen M, Kanste O, Pölkki T, Utriainen K, Kyngäs H (2014) Qualitative content analysis: a focus on trustworthiness. Sage Open 4(1):1–10

    Article  Google Scholar 

  • Esmaeilian B, Behdad S, Wang B (2016) The evolution and future of manufacturing: a review. J Manuf Syst (Elsevier) 39:79–100

    Article  Google Scholar 

  • Faller C, Feldmuller D (2015) Industry 4.0 learning factory for regional SMEs. In: Published proceedings from 5th conference on learning factories, vol 32, pp 88–91

  • Fedorov A, Goloschchapov E, Ipatov O, Potekhin V, Shkodyrev V, Zobnin S (2015) Aspects of smart manufacturing via agent-based approach. Proced Eng 100:1572–1581

    Article  Google Scholar 

  • Ferro C, Grassi R, Seclì C, Maggiore P (2016) Additive manufacturing offers new opportunities in UAV research. Proced CIRP (Elsevier) 41:1004–1010

    Article  Google Scholar 

  • Foidl H, Felderer M (2016) Research challenges of industry 4.0 for quality management, innovations in enterprise information systems management and engineering. Lectures notes in business information processing, vol 245. Springer, Berlin, pp 121–137

    Google Scholar 

  • Forstner L, Dümmler M (2014) Integrierte Wertschöpfungsnetzwerke-Chancen und Potenziale durch Industrie 4.0. E I Elektr Inf Tech (Springer) 131(7):199–201

    Google Scholar 

  • Gabriel M, Pessl E (2016) Industry 4.0 and sustainability impacts: critical discussion of sustainability aspects with a special focus on future work and ecological consequences. Ann Fac Eng Hunedoara Int J Eng 14(2):131–136

    Google Scholar 

  • Gao H, Peng Y, Jia K, Wen Z, Li H (2015) Cyber-physical systems testbed based on cloud computing and software defined network, International conference on intelligent information hiding and multimedia signal processing (IEEE), pp 337–340

  • Gaub H (2015) Customization of mass-produced parts by combining injection molding and additive manufacturing with industry 4.0 technologies. Reinf Plast (Elsevier)

  • Gilchrist A (2016) Middleware industrial internet of things platforms. Industry 4.0: the industrial internet of the things. Springer, Berlin, pp 153–160

    Chapter  Google Scholar 

  • Giret A, Garcia E, Botti V (2016) An engineering framework for service-oriented intelligent manufacturing systems. Comput Ind (Elsevier) 81:116–127

    Article  Google Scholar 

  • Gruber FE (2013) Industry 4.0: a best practice project of the automotive industry. Digital product and process development systems. Springer, Berlin, pp 36–40

    Chapter  Google Scholar 

  • Hermann M, Pentek T, Otto B (2016) Design principles for Industrie 4.0 scenarios, 49th Hawaii international conference on system sciences (IEEE), pp 3928–3937

  • Hogrebe F, Kruse W (2015) Wirtschaftsförderung 4.0-Anforderungen und Lösungsmodell zur Umsetzung von Industrie 4.0. HMD Praxis Wirtschaftsinf (Springer) 52(5):713–723

    Article  Google Scholar 

  • Hoppe S (2014) Forerunner to industry 4.0 and the internet of things. Control Eng 48–50

  • Hossain MS, Gonzalez JA, Martinez- Hernandez R, Shuvo MAI, Mireles J, Choudhuri A, Lin Y, Wicker RB (2016) Fabrication of smart parts using powder bed fusion additive manufacturing technology. Addit Manuf (Elsevier) 10:58–66

    Article  Google Scholar 

  • Ivanov D, Sokolov B, Ivanova M (2016) Schedule coordination in cyber-physical supply networks Industry 4.0. IFAC PapersOnLine (Elseiver) 41(12):839–844

    Article  Google Scholar 

  • Ji C, Shao Q, Sun J, Liu S, Pan L, Wu L, Yang Ch (2016a) Device data ingestion for industrial big data platforms with a case study. Sensors (Multidisciplinary Digital Publishing Institute) 16(3):279

    Google Scholar 

  • Ji X, He G, Xu J, Guo Y (2016b) Study on the mode of intelligent chemical industry based on cyber-physical system and its implementation. Adv Eng Softw (Elsevier) 99:18–26

    Article  Google Scholar 

  • Jonathan N (2016) Industry 4.0 for all. In: Electronics and telecomms: connectivity, environmental engineering, pp 46–47

  • Juan-Verdejo A, Surajbali B (2016) XaaS multi-cloud marketplace architecture enacting the industry 4.0 concepts. International federation for information processing. Springer, Berlin, pp 11–23

    Google Scholar 

  • Jung K, Morris KC, Lyons KW, Leong S, Cho H (2015) Mapping strategic goals and operational performance metrics for smart manufacturing systems. Proced Comput Sci (Elsevier) 44:184–193

    Article  Google Scholar 

  • Kagermann H (2015) Change through digitization value creation in the age of industry 4.0. Management of permanent change. Springer, Berlin, pp 23–45

    Google Scholar 

  • Kans M, Ingwald A (2016) Business model development towards service management 4.0. Proced CIRP (Elsevier) 47:489–494

    Article  Google Scholar 

  • Kapoor M (2014) Redefining progress and ushering in the fourth revolution. Proced Soc Behav Sci (Elsevier) 133:203–210

    Article  Google Scholar 

  • Khan A, Turowski K (2016) A survey of current challenges in manufacturing industry and preparation for Industry 4.0. In: Proceedings of the first international scientific conference intelligent information technologies for industry, advances in intelligent systems and computing, vol 450. Springer, pp 15–26

  • Klemp E, Pottebaum J (2016) Additive Fertigungsverfahren im Kontext von Industrie 4.0. Handbuch Industrie 4.0 Bd. 3. Springer, pp 311–331

  • Kolberg D, Zühlke D (2015) Lean automation enabled by industry 4.0 technologies. IFAC PapersOnLine (Elsevier) 48(3):1870–1875

    Article  Google Scholar 

  • Kovar J, Mouralova K, Ksica F, Kroupa J, Andrs O, Hadas Z (2016) Virtual reality in context of industry 4.0 proposed projects at Brno University of Technology, 17th International conference on mechatronics-mechatronika (IEEE), pp 1–7

  • Lacey A, Luff D (2001) Qualitative data analysis, vol 46. Trent focus Sheffield, Nottingahm

    Google Scholar 

  • Laghari S, Niazi MA (2016) Modeling the internet of things, self-organizing and other complex adaptive communication networks: A cognitive agent-based computing approach. PLoS One (Public Library of Science) 11(1):1–25

    Google Scholar 

  • Lasi H, Fettke P, Kemper H, Feld T, Hoffmann M (2014) Industrie 4.0. Wirtschaftsinformatik (Springer) 56(4):261–264

    Article  Google Scholar 

  • Lee J, Kao H, Yang S (2014) Service innovation and smart analytics for industry 4.0 and big data environment. Proced CIRP (Elsevier) 16:3–8

    Article  Google Scholar 

  • Lee J, Bagheri B, Kao H (2015) A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf Lett (Elsevier) 3:18–23

    Article  Google Scholar 

  • Li X, Li D, Wan J, Vasilakos A, Lai Ch, Wang S (2015) A review of industrial wireless networks in the context of industry 4.0. Wireless networks. Springer, Berlin

    Google Scholar 

  • Long F, Zeiler P, Bertsche B (2016) Modelling the production systems in industry 4.0 and their availability with high-level Petri nets. IFAC PapersOnLine (Elsevier) 49(12):145–150

    Article  Google Scholar 

  • Losch D, Ekanayake S, Nienheysen P, Bethlehem-Eichler K, Schmitz R, Bier S, Roßmann J (2016) An Industry 4.0-based repair concept for structural CFRP components in the automotive sector. 2nd IEEE international symposium on robotics and manufacturing automation (IEEE), Roma, Italia, pp 1–6

  • Ltifi M, Gharbi J (2015) The effect of logistics performance in retail store on the happiness and satisfaction of consumers. Proced Econ Financ (Elsevier) 23:1347–1353

    Article  Google Scholar 

  • Lu X, Qu Z, Li Q, Hui P (2015) Privacy information security classification for internet of things based on internet data. Int J Distrib Sens Netw (Taylor & Francis, Inc.) 23

  • Magruk A (2016) Uncertainty in the sphere of the industry 4.0—potential areas to research. Bus Manag Educ 14(2):275–291

    Article  Google Scholar 

  • Maier MA, Korbel JJ, Brem A (2015) Innovation in supply chains-solving the agency dilemma in supply networks by using industry 4.0 technologies. Int J Commun Netw Distrib Syst (Inderscience Publishers) 15(2–3):235–247

    Google Scholar 

  • Matties B (2016) Industry 4.0: creating a standard. SMT Magazine, pp 1342–1346

  • Mazak A, Huemer Ch (2015) A standards framework for value networks in the context of industry 4.0. International conference on industrial engineering and engineering management (IEEE), pp 1342–1346

  • Moreno A, Velez G, Ardanza A, Barandiaran I, de Infante A, Chopitea R (2017) Virtualisation process of a sheet metal punching machine within the industry 4.0 vision. Int J Interact Des Manuf (Springer) 11(2):365–373

  • Mosterman P, Zander J (2016) Industry 4.0 as a cyber-physical system study. Softw Syst Model (Springer) 15(1):17–29

    Article  Google Scholar 

  • Neeraja B, Mehta M, Chandani A (2014) Supply chain and logistics for the present day business. Proced Econ Financ 11:665–675

    Article  Google Scholar 

  • Nowicka K (2014) Smart city logistics on cloud computing model. Proced Soc Behav Sci (Elseiver) 151:266–281

    Article  Google Scholar 

  • Nowodzinski P, Łukasik K, Puto A (2016) Internet Of Things (Iot) in a retail environment. The new strategy for Firms development. Eur Sci J 12(10):332–341

  • Oesterreich TD, Teuteberg F (2016) 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. Comput Ind (Elsevier) 83:121–139

    Article  Google Scholar 

  • Pan M, Sikorski J, Kastner C, Akroyd J, Se Mosbach, Lau R, Kraft M (2015) Applying industry 4.0 to the Jurong Island eco-industrial park. Energy Proced (Elseiver) 75:1536–1541

    Article  Google Scholar 

  • Quintana-Peña A (2006) Metodología de investigación científica cualitativa, 47–84. Tópicos de actualidad, Lima, Perú, Psicología

  • Pickett L (2016a) Industry 4.0 and the NDT sea change. Quality (BNP Media) 55(4):S12–S12

    Google Scholar 

  • Pickett L (2016b) Smart manufacturing: a digital leap forward. Qual Mag (Management) 55(6):36–39

    Google Scholar 

  • Prause M, Weigand J (2016) Industry 4.0 and object-oriented development: incremental and architectural change. J Technol Manag Innov (SciELO Chile) 11(2):104–110

    Article  Google Scholar 

  • Qin J, Liu Y, Grosvenor R (2016) A categorical framework of manufacturing for industry 4.0 and beyond. Proced CIRP (Elseiver) 52:173–178

    Article  Google Scholar 

  • Radziwon A, Bilberg A, Bogers M, Madsen ES (2014) The smart factory: exploring adaptive and flexible manufacturing solutions. Proced Eng (Elsevier) 69:1184–1190

    Article  Google Scholar 

  • Ramachandran G, Proença J, Daniels W, Pickavet M, Staessens D, Huygens Ch, Joosen W, Hughes D (2016) Hitch Hiker 2.0: a binding model with flexible data aggregation for the Internet-of-Things. J Internet Serv Appl (Springer) 7(1):1–4

  • Reinheimer S (2015) Rezension Industrie 4.0 in Produktion, Automatisierung und Logistik. HMD Praxis Wirtschaftsinf (Springer) 52(5):802–806

    Article  Google Scholar 

  • Reischauer G, Schober L (2015) Controlling von Industrie 4.0-Prozessen. Control Manag Rev (Springer) 59(5):22–28

    Article  Google Scholar 

  • Rennung F, Luminosu CT, Draghici A (2016) Service provision in the framework of industry 4.0. Proced Soc Behav Sci (Elsevier) 221:372–377

    Article  Google Scholar 

  • Sattler E (2014) Vom Spielzeug zur Steuerung von Umformtechnologien-Walzdrücken im Kontext von Industrie 4.0. BHM Berg-und Hüttenmännische Monatshefte (Springer) 159(7):308–309

    Article  Google Scholar 

  • Schlechtendahl J, Keinert M, Kretschmer F, Lechler A, Verl A (2015) Making existing production systems industry 4.0-ready. Prod Eng (Springer) 9(1):143–148

    Article  Google Scholar 

  • Schlott S (2013) Industrie 4.0 Abschied von der Automatisierungspyramide. Automobiltechnische Zeitschrift (Springer) 115(4):306–307

    Article  Google Scholar 

  • Scholz S, Mueller T, Plasch M, Limbeck H, Adamietz R, Iseringhausen T, Kimmig D, Dickerhof M, Woegerer Ch (2016) A modular flexible scalable and reconfigurable system for manufacturing of microsystems based on additive manufacturing and e-printing. Robot Comput Integr Manuf (Elsevier) 40:14–23

    Article  Google Scholar 

  • Schuh G, Gartzen T, Rodenhauser T, Marks A (2015) Promoting work-based learning through industry 4.0. Proced CIRP (Elseiver) 32:82–87

    Article  Google Scholar 

  • Schuh G, Potente T, Wesch-Potente C, Weber AR, Prote J (2014) Collaboration mechanisms to increase productivity in the context of industrie 4.0. Proced CIRP (Elseiver) 19:51–56

    Article  Google Scholar 

  • Schuh G, Potente T, Varandani R, Schmitz T (2014) Global footprint design based on genetic algorithms—an industry 4.0 perspective. CIRP Ann Manuf Technol (Elseiver) 63(1):433–436

    Article  Google Scholar 

  • Schumacher A, Erol S, Sihn W (2016) A maturity model for assessing industry 4.0 readiness and maturity of manufacturing enterprises. Proced CIRP (Elseiver) 52:161–166

    Article  Google Scholar 

  • Schut JH (2016) Keeping up with smarter machines: driven by industry 4.0, injection molding machines and their peripherals seek total integration. Plast Eng (Society of plastic Enginers) 52:10–16

    Google Scholar 

  • Shafiq SI, Sanin C, Szczerbicki E, Toro C (2015) Virtual engineering object/virtual engineering process: a specialized form of cyber physical system for Industrie 4.0. Proced Comput Sci (Elsevier) 60:1146–1155

    Article  Google Scholar 

  • Sherwin P (2016) Industry 4.0 + IOT = Smart industrial ovens and furnaces. Process Instrum 12–18

  • Shrouf F, Ordieres J, Miragliotta G (2014) 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. IEEE international conference on plastics engineering industrial engineering and engineering management (IEEE), pp 697–701

  • Simonis K, Gloy YS, Gries T (2016) INDUSTRIE 4.0—automation in weft knitting technology. IOP Conf Ser: Mater Sci Eng (IOP Publishing) 141(1):012014

  • Sokolov B, Ivanov (2015) Integrated scheduling of material flows and information services in industry 4.0 supply networks. In: Proceddings of the IFAC symposium on information control problems in manufacturing (Elseiver), vol 48, no. 3. Ottawa, Canada, pp 1533–1538

  • Sprock T, McGinnis LF (2015) A conceptual model for operational control in smart manufacturing systems. IFAC PapersOnLine (Elseiver) 48(3):1865–1869

    Article  Google Scholar 

  • Stock T, Seliger G (2016) Opportunities of sustainable manufacturing in industry 4.0. Proced CIRP (Elseiver) 40:536–541

    Article  Google Scholar 

  • Stojanovic L, Dinic M, Stojanovic N, Stojadinovic A (2016)Big-data-driven anomaly detection in industry (4.0): an approach and a case study. International conference on big data (IEEE), pp 1647–1652,

  • Stojki’c Z, Vevza I, Bovsnjak I (2016) A concept of information system implementation (CRM and ERP) within industry 4.0. In: Proceedings of the 26th DAAAM international symposium (DAAAM International). Viena, Austria, pp 912–919

  • Takano Y, Mejia C, Kajikawa Y (2016) Unconnected component inclusion technique for patent network analysis: case study of Internet of Things-related technologies. J Inf (Elseiver) 10(4):967–980

    Article  Google Scholar 

  • Thames L, Schaefer D (2016) Software-defined cloud manufacturing for industry 4.0. Proced CIRP (Elseiver) 52:12–17

    Article  Google Scholar 

  • Thiel C, Thiel C (2015) Hare and tortoise. Datenschutz Datensicherheit-DuD (Springer) 39(10):663–667

    Article  Google Scholar 

  • Toro C, Barandiaran I, Posada J (2015) A perspective on knowledge based and intelligent systems implementation in industrie 4.0. Proced Comput Sci (Elseiver) 60:362–370

    Article  Google Scholar 

  • Trappey A, Trappey Ch, Govindarajan, UH, Chuang A, Sun J, (2016) A review of essential standards and patent landscapes for the Internet of Things: a key enabler for industry 4.0. Adv Eng Inf (Elsevier)

  • Trends (2015) Industry 4.0 and the US manufacturing renaissance. Trends e-mag (Audio-Tech Business book summaries) 4–10

  • Verdouw CN, Wolfert J, Beulens AJM, Rialland A (2016) Virtualization of food supply chains with the internet of things. J Food Eng (Elsevier) 176:128–136

  • Vyas D, Kröner A, Nijholt A (2016) From mundane to smart: exploring interactions with smart’ design objects. Int J Mob Hum Comput Interact (IGI Global) 8(1):59–82

    Article  Google Scholar 

  • Waldner F, Poetz MK, Grimpe Ch, Eurich M (2015) Antecedents and consequences of business model innovation: the role of industry structure, Business models and modelling. Adv Strat Manag (Emerald Group Publishing Limited) 33:347–386

    Google Scholar 

  • Wang S, Wan J, Zhang D, Li D, Zhang Ch (2016) Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Comput Netw (Elseiver) 101:158–168

    Article  Google Scholar 

  • Weber RH, Studer E (2016) Cybersecurity in the Internet of Things: legal aspects. Comput Law Secur Rev (Elseiver) 32(5):715–728

    Article  Google Scholar 

  • Wende J, Kiradjiev P (2014) Eine Implementierung von Losgröße 1 nach Industrie-4.0-Prinzipien. e & i Elektrotechnik und Informationstechnik (Springer) 131(7):202–206

  • Weyer S, Schmitt M, Ohmer M, Gorecky D (2015) Towards industry 4.0-standardization as the crucial challenge for highly modular, multi-vendor production systems. IFAC PapersOnLine (Elsevier) 48(3):579–584

    Article  Google Scholar 

  • Wieland U, Pfitzner M (2014) Interdisziplinäre Datenanalyse für Industrie 4.0. Control Manag Rev 58(7):80–85

    Article  Google Scholar 

  • Wolter M, Mönnig A, Hummel M, Schneemann Ch, Weber E, Zika G, Helmrich R, Maier T, Neuber-Pohl C (2015) Industrie 4.0 und die Folgen für Arbeitsmarkt und Wirtschaft, Szenario-Rechnungen im Rahmen der BIBB-IAB-Qualifikations-und Berufsfeldprojektionen. IAB Forschungsbericht 8:1–69

    Google Scholar 

  • Zhang Z, Liu S, Tang M (2014) Industry 40: challenges and opportunities for Chinese manufacturing industry. Tehnicki Vjesnik Technical Gazette (University of Osijek) 21(6):1–3

    Google Scholar 

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Acknowledgements

First EAI International Conference on Computer Science and Engineering, November 11–12, 2016, Penang, Malaysia.

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  1. Facultad de Ingeniería Mecnica y Eléctrica, Universidad Autonóma de Nuevo León, Ciudad Universitaria, San Nicolás de los Garza, Nuevo León, Mexico

    Jania Astrid Saucedo-Martínez, Magdiel Pérez-Lara & Tomás Eloy Salais-Fierro

  2. Facultad de Ingeniería, Universidad Panamericana, Augusto Rodin 498, México, 03920, Ciudad de México, México

    José Antonio Marmolejo-Saucedo

  3. Faculty of Science and Information Technology, Universiti Teknologi PETRONAS, Seri Iskandar, 32610, Perak Darul Ridzuan, Malaysia

    Pandian Vasant

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  1. Jania Astrid Saucedo-Martínez
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Saucedo-Martínez, J.A., Pérez-Lara, M., Marmolejo-Saucedo, J.A. et al. Industry 4.0 framework for management and operations: a review. J Ambient Intell Human Comput 9, 789–801 (2018). https://doi.org/10.1007/s12652-017-0533-1

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