Proposed Industry 4.0 architecture in the supply chain from the perspective of industrial engineering
PDF (Español (España))
HTML (Español (España))


mobile application
big data
Industry 4.0
Internet of things

How to Cite

Blanco Rojas, M., González Rojas, K., & Rodríguez Molano, J. (2017). Proposed Industry 4.0 architecture in the supply chain from the perspective of industrial engineering. Ingeniería Solidaria, 13(23), 77-90.


Introduction: This article derives from the research into big data applications, conducted at the Universidad Distrital Francisco José de Caldas in 2017, which seeks to solve the problem of compatibility between the information generated by sensors in equipment and machines, and the platforms that support such information. A proposed architecture that can be adopted by supply chains immersed in Industry 4.0 is shown. The elements, authors, and stakeholders that interact in the architecture were identified. Methodology: a) the importance of Industry 4.0 is argued; b) it is stated that organizations must adapt to the new industrial revolution; c) the research literature is reviewed. These findings are methodically analyzed for proposals, advances, methodology, future research, results and conclusions; d) an architecture is proposed; e) a mobile application is created to evaluate the interconnection of the sensor layer with the application layer proposed by the architecture; f) the usability of the application is checked; and g) the advantages and limitations of the architecture are explained. Results: The application has a 91 % usability allowing real-time connection between the sensor layer and the application layer. Conclusions: This research presents tools that provide the supply chain with guidelines to be included in Industry 4.0 and to obtain competitive advantages.
PDF (Español (España))
HTML (Español (España))


[1] J. Ang, C. Goh, A. Saldivar, and Y. Li, “Energy-Efficient Through-Life Smart Design, Manufacturing and Operation of Ships in an Industry 4.0 Environment,” Energies, vol. 10, no. 5, p. 610, 2017.

[2] B. Mrugalska and M. K. Wyrwicka, “Towards Lean Production in Industry 4.0,” Procedia Eng., vol. 182, pp. 466–473, 2017.

[3] J. Qin, Y. Liu, and R. Grosvenor, “A Categorical Framework of Manufacturing for Industry 4.0 and beyond,” Procedia CIRP, vol. 52, pp. 173–178, 2016.

[4] A. Jayaram, “Lean six sigma approach for global supply chain management using industry 4.0 and IIoT,” 2016 2nd Int. Conf. Contemp. Comput. Informatics, pp. 89–94, 2016.

[5] International Electrotechnical Commission, “Factory of the future,” White Pap. Futur. Fact., pp. 44–47, 2015.

[6] V. Díez, A. Arriola, I. Val, and M. Vélez, “Validation of RF Communication Systems for Industry 4 . 0 through Channel Modeling and Emulation,” IEEE Int. Work., pp. 2–7, 2017.

[7] F. Shrouf, J. Ordieres, and G. Miragliotta, “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,” in IEEE International Conference on Industrial Engineering and Engineering Management, 2014, vol. 2015–Janua, pp. 697–701.

[8] L. Spendla, M. Kebisek, P. Tanuska, and L. Hrcka, “Concept of predictive maintenance of production systems in accordance with industry 4.0,” SAMI 2017 - IEEE 15th Int. Symp. Appl. Mach. Intell. Informatics, Proc., pp. 405–410, 2017.

[9] H. Meissner, R. Ilsen, and J. C. Aurich, “Analysis of Control Architectures in the Context of Industry 4.0,” Procedia CIRP, vol. 62, pp. 165–169, 2017.

[10] L. Thames and D. Schaefer, “Software-defined Cloud Manufacturing for Industry 4.0,” Procedia CIRP, vol. 52, pp. 12–17, 2016.

[11] M. K. Soundarapandian, K. Suri, J. Cadavid, I. Barosan, M. Van Den Brand, M. Alferez, and S. Gerard, “Towards Industry 4.0: Gap Analysis between Current Automotive MES and Industry Standards using Model-Based Requirement Engineering,” 2017 IEEE International Conference on Software Architecture Workshops (ICSAW), pp. 29-35, 2017.

[12] A. Chaouni Benabdellah, A. Benghabrit, I. Bouhaddou, and E. M. Zemmouri, “Big Data for Supply Chain Management: Opportunities and Challenges,” Int. J. Sci. Eng. Res., vol. 7, no. 11, pp. 20–25, 2016.

[13] D. Ghosh, “Big data in logistics and supply chain management - A rethinking step,” Int. Symp. Adv. Comput. Commun., pp. 168–173, 2015.

[14] M. J. Farooq and Q. Zhu, “Secure and Reconfigurable Network Design for Critical Information Dissemination in the Internet of Battlefield Things (IoBT),” 2017. 2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Paris, 2017, pp. 1-8.

[15] F. Alkhabbas, R. Spalazzese, and P. Davidsson, “Emergent Configurations in the Internet of Things As System of Systems,” Proc. Jt. 5th Int. Work. Softw. Eng. Syst. 11th Work. Distrib. Softw. Dev. Softw. Ecosyst. Syst., no. iii, pp. 70–71, 2017.

[16] A. Iglesias-Urkia, Markel; Orive, Adrián; Urbieta, “Analysis of CoAP Implementations for Industrial Internet of Things: A Survey,” 8th Int. Conf. Ambient Syst. Networks Technol. (ANT 2017), vol. 0, no. 2016, 2017.

[17] K. Rose, S. Eldridge, and C. Lyman, “The internet of things: an overview,” Internet Soc., no. October, p. 53, 2015.

[18] T. Saarikko, U. H. Westergren, and T. Blomquist, “The Internet of Things: Are you ready for what’s coming?,” Bus. Horiz., 2017.

[19] D. Mourtzis, E. Vlachou, and N. Milas, “Industrial Big Data as a Result of IoT Adoption in Manufacturing,” Procedia CIRP, vol. 55, pp. 290–295, 2016.

[20] F. Nie, “A Value-oriented Model of Big Data-Driven Knowledge Management and Collaborative Services : A Meteorological Service Case,” pp. 511–516, 2017.

[21] C. Tidbits, “Cloud Computing Changes Data Integration Forever : What ’ s Needed Right Now,” IEEE Comput. Soc., pp. 50–53, 2017.

[22] N. Khan and A. Al-Yasiri, “Identifying Cloud Security Threats to Strengthen Cloud Computing Adoption Framework,” Procedia Comput. Sci., vol. 94, pp. 485–490, 2016.

[23] M. H. Raza, A. F. Adenola, A. Nafarieh, and W. Robertson, “The slow adoption of cloud computing and IT workforce,” Procedia Comput. Sci., vol. 52, no. 1, pp. 1114–1119, 2015.

[24] T.-M. Choi and B. Shen, “A System of Systems Framework for Sustainable Fashion Supply Chain Management in the Big Data Era,” 2016 Ieee 14Th Int. Conf. Ind. Informatics, pp. 902–908, 2016.

[25] S. A. Hussain, M. Fatima, A. Saeed, I. Raza, and R. K. Shahzad, “Multilevel classification of security concerns in cloud computing,” Appl. Comput. Informatics, vol. 13, no. 1, pp. 57–65, 2017.

[26] D. Pop, “Machine Learning and Cloud Computing: Survey of Distributed and SaaS Solutions,” Inst. e-Austria Timisoara, Tech. Rep 1, 2012.

[27] K. Christensen, S. Nørskov, L. Frederiksen, and J. Scholderer, “In Search of New Product Ideas: Identifying Ideas in Online Communities by Machine Learning and Text Mining,” Creat. Innov. Manag., vol. 26, no. 1, pp. 17–30, 2017.

[28] A. Talwar and Y. Kumar, “Machine Learning: An artificial intelligence methodology,” Int. J. Eng. Comput. Sci., vol. 2, no. 12, pp. 3400–3405, 2013.

[29] J. Di Deco Sampedro and J. Díaz García, “Estudio y aplicación de técnicas de aprendizaje automático orientadas al ámbito médico: estimación y explicación de predicciones individuales,” p. 103, 2012.

[30] A. Stăncioiu, “The Fourth Industrial Revolution,” no. 1, pp. 74–79, 2017.

[31] H. Lasi, P. Fettke, H.-G. Kemper, T. Feld, and M. Hoffmann, “Industry 4.0,” Bus. Inf. Syst. Eng., vol. 6, no. 4, p. 239, 2014.

[32] J. Manuel, C. Lovelle, C. Enrique, and M. Marín, “Metamodelo para la integración de la internet de las cosas y redes sociales,” 2014.

[33] A. Arvind and D. Bourne, “Architecture for Industry 4 . 0-based Manufacturing Systems,” no. July, 2016.

[34] Marcos A. Pisching, Fabricio Junqueira, Diolino J. dos Santos Filho, and Paulo E. Miyagi, “An Architecture for Organizing and Locating Services To the Industry 4.0,” no. January, pp. 0–8, 2015.

[35] M. Hermann, T. Pentek, B. Otto, “Design Principles for Industrie 4.0 Scenarios”, 2016 49th Hawaii Int. Conf. Syst. Sci., IEEE, 2016: pp. 3928–3937, 2016.

[36] J. H. Ang, C. Goh, and Y. Li, “Smart design for ships in a smart product through-life and industry 4.0 environment,” 2016 IEEE Congr. Evol. Comput. CEC 2016, pp. 5301–5308, 2016.

[37] X. Liu and O. Baiocchi, “A comparison of the definitions for smart sensors, smart objects and Things in IoT,” 7th IEEE Annu. Inf. Technol. Electron. Mob. Commun. Conf. IEEE IEMCON 2016, pp. 1–4, 2016.

[38] C. González, D. Meana, B.C. Pelayo and J.M. Cueva, “A review about Smart Objects, Sensors, and Actuators”, Int. J. Interact. Multimed. Artif. Intell, pp. 7–10, 2017.

[39] A. M. Turri, R. J. Smith, and S. W. Kopp, “Privacy and RFID Technology: A Review of Regulatory Efforts,” J. Consum. Aff., vol. 51, no. 2, pp. 329–354, 2017.

[40] E. Asensio Blasco, “Aplicación de técnicas de minería de datos en redes sociales / web,” p. 50, 2015.

[41] D. Wee, R. Kelly, J. Cattel, and M. Breunig, “Industry 4.0 - how to navigate digitization of the manufacturing sector,” McKinsey Co., pp. 1–62, 2015.

[42] J. I. R. Molano, E. S. Yara, and L. K. J. Garcia, “Model for measuring usability of survey mobile apps, by analysis of usability evaluation methods and attributes |” 2015 10th Iber. Conf. Inf. Syst. Technol. Cist. 2015, 2015.

[43] M. Gubán and G. Kovács, “Industry 4.0 Conception,” Bull. Eng., vol. Tome X, no. Fascicule 1, pp. 111–114, 2017.

[44] T. Fukui, “A Systems Approach to Big Data Technology Applied to Supply Chain,” pp. 3732–3736, 2016.

[45] R. Rana, M. Staron, J. Hansson, M. Nilsson, and W. Meding, “A Framework for Adoption of Machine Learning in Industry for Software Defect Prediction,” Proc. 9th Int. Conf. Softw. Eng. Appl., pp. 383–392, 2014.

[46] H. (Deutsche P. A. Henning, Kagermann(National Academy of Science and Engineering). Wolfgang, Wahlster (German Research Center for Artificial Intelligence). Johannes, “Recommendations for implementing the strategic initiative INDUSTRIE 4.0,” Final Rep. Ind. 4.0 WG, no. April, p. 82, 2013.

[47] A. H. Glas and F. C. Kleemann, “The Impact of Industry 4.0 on Procurement and Supply Management: A Conceptual and Qualitative Analysis,” Int. J. Bus. Manag. Invent. ISSN (Online, vol. 5, no. 6, pp. 2319–8028, 2016.

[48] J. Wang, R. R. Muddada, H. Wang, J. Ding, Y. Lin, C. Liu, and W. Zhang, “Toward a resilient holistic supply chain network system: Concept, review and future direction,” IEEE Syst. J., vol. 10, no. 2, pp. 410–421, 2016.

[49] D. Kolberg and D. Zhlke, “Lean Automation enabled by Industry 4.0 Technologies,” IFAC-PapersOnLine, vol. 28, no. 3, pp. 1870–1875, 2015.

[50] M. Porter and E. Heppelmann, “How smart, connected products are transforming competition,”.Harvard Business Review, vol. 92, no. 11, pp. 64-88, 2014.

Copyright (c) 2017 Journal of Engineering and Education


Download data is not yet available.