Interactivity and connectivity at the service of the clothing industry

Authors

  • Leidy Yaneth Vega Rodríguez Servicio Nacional de Aprendizaje, SENA
  • Fabio Andrés Gaviria
  • Luz Eugenia Botero

DOI:

https://doi.org/10.21501/21454086.3071

Keywords:

automated processes, clothing industry, data analysis, digital economy, Industry 4.0, Production systems, productivity, optimization, disruptive and emerging technologies, Information and communication technology.

Abstract

The rapid advances in industrialization and computerization have stimulated the development of automatic, precise and sustainable processes. Industry 4.0 represents the technological evolution integrated into Cyber Physical systems, which combines intelligent sensors, artificial intelligence and data analysis to optimize manufacturing in real time. In this document, the panorama of new technologies in the field of Industry 4.0 is explored, with the intention of providing a different perspective, which allows to improve the traditional techniques of development and manufacture of clothing and that facilitate the permanent and fast response to the challenges that arise in the business world, through intelligent and responsible decision making. The use of technologies such as Big Data or Cloud provides the opportunity to optimize operations and provide added value by integrating products and services, considering that there is a more complex value chain, increasingly important digital channels and a more demanding customer. Many companies in the clothing sector have adopted these disruptive technologies, proving that they have a profound impact in terms of productivity, quality and service. However, the lack of powerful tools represents a major obstacle to exploiting their full potential

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Author Biography

Leidy Yaneth Vega Rodríguez, Servicio Nacional de Aprendizaje, SENA

Nací en San Juan del Cesar, La Guajira. en 1993. Soy ingeniera Quimica de la Universidad Nacional de Colombia (Sede Medellín). He sido participe de diferentes proyectos de investigación, cuyo área de actuación involucra procesos termoquímicos y de producción. Como resultado, he sido autora de articulos cientificos y de libros de investigación.

References

M. A. K. Bahrin, M. F. Othman, N. H. N. Azli, and M. F. Talib, “Industry 4.0: A review on industrial automation and robotic”, Jurnal Teknologi, vol. 78, no. 6-13, pp. 137-143, 2016. doi: 10.11113/jt.v78.9285

V. Roblek, M. Meško, and A. Krapež, “A Complex View of Industry 4.0”, SAGE Open, vol. 6, no. 2, 2016. doi: 10.1177/2158244016653987

L. Da Xu, E. L. Xu, and L. Li, “Industry 4.0: state of the art and future trends”, International Journal of Production Research, vol. 7543, no. 8, pp. 1-22, 2018. doi: 10.1080/00207543.2018.1444806

R. Y. Zhong, X. Xu, E. Klotz, and S. T. Newman, “Intelligent Manufacturing in the Context of Industry 4.0: A Review”, Engineering, vol. 3, no. 5, pp. 616-630, 2017. doi: 10.1016/J.ENG.2017.05.015

R. Schmidt, M. Michael, H. Ralf-christian, C. Reichstein,

P. Neumaier, and P. Jozinovi, “Industry 4.0-Potentials for Creating Smart Products: Empirical Research Results”, vol. 2, pp. 16-27, 2015. doi:

1007/978-3-319-19027-3_2

World Economic Forum, “Technology and Innovation for the Future of Production: Accelerating Value Creation”, 2017. Available: http://www3.weforum. org/docs/WEF_White_Paper_Technology_Innovation_Future_of_Production_2017.pdf

J. W. Rittinghouse, and J. F. Ransome, Cloud Computing. Implementation, Management, and Security, Taylor & Frandis Group, 2009.

I. A. T. Hashem, I. Yaqoob, N. B. Anuar, S. Mokhtar, A. Gani, and S. Ullah Khan, “The rise of “big data” on cloud computing: Review and open researchissues», Information Systems, vol. 47, pp. 98-115,

doi: 10.1016/j.is.2014.07.006

P. Mell, and T. Grance, “The NIST Definition of Cloud Computing”, National Institute of Standards and Technology, 2011. Available: https://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800_145.pdf

A. Huth, and J. Cebula, “The Basics of Cloud Computing”, United States Computer Emergency Readiness Team, 2011. Available: https://www.us-cert. gov/sites/default/files/publications/CloudComputingHuthCebula.pdf

A. K. Damodaram, and K. Ravindranath, “Cloud Computing for Managing Apparel and Garment Supply Chains-an Empirical study of Implementation Frame Work”, International Journal of Computer Science Issues, vol. 7, no. 6, pp. 325-336, 2010. Available: https://pdfs.semanticscholar.org/38fe/2601ca36e41616a1f4c447b84a055279f984.pdf

S. Subashini, and V. Kavitha, “A survey on security issues in service delivery models of cloud computing”, Journal of Network and Computer Applications, vol. 34, no. 1, pp. 1-11, 2011. doi: 10.1016/j.

jnca.2010.07.006

Q. Zhang, L. Cheng, and R. Boutaba, “Cloud computing:State-of-the-art and research challenges”, Journal of Internet Services and Applications, vol. 1, no. 1, pp. 7-18, 2010. doi: 10.1007/s13174-010-

-6

R. Nayak y R. Padhye, “Introduction: the Apparel Industry”, In Garment Manufacturing Technology, R. Nayak y R. Padhye, Eds. Woodhead Publishing Series in Textiles, 2015, pp. 1-15.

S. Liu, F. T. S. Chan, J. Yang, and B. Niu, «Understanding

the effect of cloud computing on organizational agility: An empirical examination», International Journal of Information Management,

vol. 43, pp. 98-111, 2018. doi: 10.1016/j.ijinfomgt. 2018.07.010

H. Liu, S. Wei, W. Ke, K. K. Wei, and Z. Hua, “The configuration between supply chain integration and information technology competency: A resource orchestration perspective”, Journal of Operations Management, vol. 44, pp. 13-29, 2016. doi:

1016/j.jom.2016.03.009

Gartner, (2018, September 12) “Gartner Forecasts Worldwide Public Cloud Revenue to Grow 17.3 Percent in 2019, 2018. [Online]. Available: https://www.gartner.com/en/newsroom/press-releases/

-09-12-gartner-forecasts-worldwide-public-cloud-revenue-to-grow-17-percent-in-2019. [Accedido: 28-oct-2018].

Y. Jadeja, and K. Modi, “Cloud computing - Concepts, architecture and challenges”, In Conf. Comput. Electron. Electr. Technol. ICCEET 2012, no March 2012, pp. 877-880, 2012. doi: 10.1109/ICCEET.2012.6203873

A. Botta, W. De Donato, V. Persico, and A. Pescapé, “Integration of Cloud computing and Internet of Things: A survey”, Future Generation Computer Systems, vol. 56, pp. 684-700, 2016. doi: 10.1016/j.future.2015.09.021

M. A. A. Majeed and T. D. Rupasinghe, “Internet of things (IoT) embedded future supply chains for industry 4.0: An assessment from an ERP-based fashion apparel and footwear industry”, International

Journal of Supply Chain Management, vol. 6, no. 1, pp. 25-40, 2017. Available: https://ojs.excelingtech.co.uk/index.php/IJSCM/article/

view/1395

H. D. Ma, “Internet of things: Objectives and scientific challenges” Journal of Computer Science and Technology, vol. 26, no 6, pp. 919-924, 2011. doi: 10.1007/s11390-011-1189-5

L. W. F. Chaves y Z. Nochta, “Breakthrough Towards the Internet of Things”, In Unique Radio Innovation for the 21st Century, D. C. Ranasinghe, Q. Z. Sheng, y S. Zeadally, Eds. Springer, pp. 25-38, 2010.

J. Gregory, “The Internet of Things: Revolutionizing the Retail Industry”, 2015. Available: The Internet of Things: Revolutionizing the Retail Industry

E. Papahristou, P. Kyratsis, G. Priniotakis, and N. Bilalis, “The interconnected fashion industry - An integrated vision”, IOP Conference Series: Materials Science and Engineering, vol. 254, no. 17, 2017. Available: https://iopscience.iop.org/article/10.10

/1757-899X/254/17/172020/pdf

F. J. Riggins, and S. F. Wamba, “Research directions on the adoption, usage, and impact of the Internet of things through the use of big data analytics”, In Hawaii International Conference on System

Science, 2015, pp. 1531-1540. doi:10.1109/hicss.2015.186

H. J. Watson, “The Requirements for Being an Analytics-

Based Organization”, Business Intelligence Journal, vol. 17, no. 2, pp. 4-6, 2011.

D. Uckelmann, M. Harrison, and F. Michahelles, Architecting

the Internet of Things, First Edit. Springer, 2011.

E. W. T. Ngai, D. C. K. Chau, J. K. L. Poon, A. Y. M. Chan, B. C. M. Chan, and W. W. S. Wu, “Implementing an RFID-based manufacturing process management system: Lessons learned and success factors”, Journal of Engineering and Technology Management, vol. 29, no. 1, pp. 112-130, 2012. doi: 10.1016/j.jengtecman.2011.09.009

H.-L. Chan, “Using radiofrequency identification (RFID) technologies to improve decision-making in apparel supply chains”, In Information Systems for the Fashion and Apparel Industry, Number 179., T.-M. Choi, Ed. Woodhead Publishing Series in Textiles, 2016.

R. Nayak, A. Singh, R. Padhye, and L. Wang, “RFID in textile and clothing manufacturing: technology and challenges”, Fashion and Textiles, vol. 2, no. 9, pp. 1-16, 2015. doi: 10.1186/s40691-015-0034-9

W. K. Wong, and Z. X. Guo, “The role of radio frequency

identification (RFID) technologies in the textiles and fashion supply chain: an overview”, In Fashion supply chain management using radio frequency identification (RFID) technologies, Woodhead Publishing Limited and The Textile Institute, 2014, pp. 1-12.

A. Dolgui, and J.-M. Proth, “Radio-frequency Identification (RFID): Technology and Applications”, In Supply Chain Engineering, Springer- Verlag London, 2010, pp. 163-192.

S. G. Azevedo, P. Prata, and P. Fazendeiro, “The role of radio frequency identification (RFID) technologies in improving process management and product tracking in the textiles and fashion supply chain”, In Fashion supply chain management using radio frequency identification (RFID) technologies, W. K. Wong y Z. X. Guo, Eds. Woodhead Publishing, 2014.

D. Zhang, H. Huang, and M. Jo, “Future RFID technology and applications: visions and challenges”, Telecommunication Systems, vol. 58, no. 3, pp. 193-194, 2015. doi: 10.1007/s11235-014-9865-8

A. Ustundag, A. Ustundag, and M. Bal, “Economic Potential of RFID Use in Apparel Retail Industry”, In The Value of RFID: Benefits vs. Costs, A. Ustundag, Ed. Springer- Verlag, 2013, pp. 129-139.

E. Perin, “VGB Group to Deploy RFID at Its 120 Siberian and Crawford”. [Online]. Available: https://www.rfidjournal.com/articles/view?9432.

J. Al-kassab, P. Blome, G. Wolfram, y F. Thiesse, “RFID in the Apparel Retail Industry: A Case Study from Galeria Kaufhof”, In Unique Radio Innovation for the 21st Century, D. C. Ranasinghe, Q. Z. Sheng, y S. Zeadally, Eds. Springer- Verlag Berlin Heidelberg,

, pp. 281-308.

L. Sparks, “RFID: transforming technology?”, In Logistics and retail management: emerging issues and new challenges in the retail supply chain, Third edit., J. Fernie y L. Sparks, Eds. 2009, pp. 233-252.

E. Legnani, S. Cavalieri, R. Pinto, and S. Dotti, “The Potential of RFID Technology in the Textile and Clothing Industry: Opportunities, Requirements and Challenges”, In Unique Radio Innovation for the 21st Century, D. C. Ranasinghe, Q. Z. Sheng, y S. Zeadally, Eds. Springer Science & Business Media, 2010, pp. 309-329.

X. Su, “Introduction to Big Data”, IFUD1123, 2017.

M. Chen, S. Mao, and Y. Liu, “Big Data: A survey”, Mobile Networks and Applications, vol. 19, pp. 171-209, 2014. doi: 10.1007/s11036-013-0489-0

J. Manyika et al., “Big Data: The next frontier for innovation, competition, and productivity”, McKinsey Global Institute, 2011. Available: https://bigdatawg.nist.gov/pdf/MGI_big_data_full_report.pdf

T. S. Latinovi, D. M. Preradovi, A. D. Marques, G. Guedes, and F. Ferreira, “Big Data in fashion industry”, In IOP Conference Series: Materials Science and Engineering, 2017.

E. Aktas, and Y. Meng, “An Exploration of Big Data Practices in Retail Sector”, Logistics, vol. 1, no. 12, p. 28, 2017. doi:10.3390/logistics1020012

V. Rajaraman, “Big Data Analytics”, Resonance, vol. 21, no. 8, pp. 695-716, 2016. doi: 10.1007/s12045-016-0376-7

J. Gantz, and D. Reinsel, “The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East – Western Europe”, 2013. Available: https://www.emc.com/collateral/

analyst-reports/idc-digital-universe-western-europe.pdf

A. Oussous, F. Benjelloun, A. Ait, and S. Belfkih, “Big Data technologies: A survey”, Journal of King Saud University-Computer and Information Sciences, vol. 30, no. 4, pp. 431-448. doi: 10.1016/j.jksuci.2017.06.001

M. A. Khan, M. F. Uddin, and N. Gupta, “Seven V’s of Big Data. Understanding Big Data to extract Value”, In Conference of the American Society for Engineering Education (ASEE Zone 1), 2014.

B. Davis, “The 7 pillars of Big Data”, Petroleum Review, pp. 34-42, 2015. Available: https://www.landmark.solutions/Portals/0/LMSDocs/Whitepapers/

The_7_pillars_of_Big_Data_Whitepaper.pdf

C. Yang, Q. Huang, Z. Li, K. Liu, and F. Hu, “Big Data and cloud computing: innovation opportunities and challenges”, International Journal of Digital Earth, vol. 10, no. 1, pp. 13-53, 2017. doi:

1080/17538947.2016.1239771

V. Mayer-Schönberger, and K. Cukier, Big Data: a revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt, 2013.

L. Joyanes, Big Data, Análisis de grandes volúmenes de datos en organizaciones, Primera ed. Mexico: Afaomega Grupo Editor, 2013.

J.-F. Valls, Big Data: atrapando al consumidor. Barcelona:

Profit Editorial, 2017.

B. Marr, «Forbes», Big Data: A Game Changer In The Retail Sector, 2015. [Online]. Available: https://www.forbes.com/sites/bernardmarr/2015/11/10/big-data-a-game-changer-in-the-retail-sector/#5272baea9f37.

C. L. Philip Chen, and C. Y. Zhang, “Data-intensive applications, challenges, techniques and technologies: A survey on Big Data”, Information Sciences, vol. 275, pp. 314-347, 2014. doi: 10.1016/j.

ins.2014.01.015

B. Marr, “RALPH LAUREN. Big Data In The Fashion Industry”, In Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results, Wiley, 2016, pp. 195-198.

Data Driven Investor, “Data Driven Investor”, How the Fashion Industry Is Using Data Science, 2018. [Online].

C. S. Ishikiriyama and C. F. Gomes, “Big Data: A Global Overview”, In Big Data for the Greater Good, A. Emrouznejad and V. Charles, Eds. Springer International Publishing, 2019, pp. 35-50.

B. M. Félix, E. Tavares, and N. W. F. Cavalcante, “Critical success factors for Big Data adoption in the virtual retail: Magazine Luiza case study Bruno”, Revista Brasileira de Gestão de Negócios, vol. 20, no. 1, pp. 112-126, 2018. doi: 10.7819/rbgn.v20i1.3627

W. K. Wong and Z. X. Guo, “Fundamentals of artificial intelligence techniques for apparel management applications”, In Optimizing decision making in the apparel supply chain using artificial intelligence

(AI), Woodhead Publishing Limited, 2013.

W. K. Wong, Z. X. Guo, and S. Y. S. Leung, Optimizing decision making in the apparel supply chain using artificial intelligence (AI). Woodhead Publishing in association with The Textile Institute, 2013.

ANDI, Innpulsa, y VTSAS, “Cierre de brechas de innovación y tecnología”. Medellín, Colombia, p. 853, 2018. http://www.andi.com.co/Uploads/Estudio%20Cierre%20de%20Brechas%20Innovacion%20y%20Tecnologia-ilovepdf-compressed.pdf

E. W. T. Ngai, S. Peng, P. Alexander, and K. K. L. Moon, “Decision support and intelligent systems in the textile and apparel supply chain: An academic review of research articles”, Expert Systems with

Applications, vol. 41, no. 1, pp. 81-91, 2014. doi:10.1016/j.eswa.2013.07.013

R. Nayak y R. Padhye, “Artificial intelligence and its application in the apparel industry”, In Automation in Garment Manufacturing, R.

Nayak and R. Padhye, Eds. Woodhead Publishing, 2018, pp. 109-133.

A. Vijayan y A. Jadhav, “Fabric sourcing and selection”, In Garment Manufacturing T

Published

2019-11-26

How to Cite

Vega Rodríguez, L. Y., Gaviria, F. A., & Botero, L. E. (2019). Interactivity and connectivity at the service of the clothing industry. Lámpsakos, (22), 106–122. https://doi.org/10.21501/21454086.3071