Konfeksiyon İşletmelerinde Endüstri 4.0 Perspektifinde Akıllı Üretim Sistemleri Entegrasyonu İçin Bir Model Önerisi

Year 2022, , 434 - 447, 31.01.2022

Aysun Sağbaş , Hilal Özdil

https://doi.org/10.29130/dubited.909139

Cited By: 2

Abstract

Endüstri 4.0; üretim ve hizmet sektöründe faaliyet gösteren işletmelerin, sürdürülebilirlik ve rekabet avantajı elde etmek için, gelişmiş teknolojileri benimsediği ve entegre ettiği yeni bir endüstriyel çağdır. Üretim sektöründe, özellikle giyim, moda ve ayakkabı gibi kitlesel üretim yapan işletmeler için endüstri 4.0, uygulanması zorunlu bir devrim niteliğindedir. Sürdürülebilir tekstil ve konfeksiyon ürünlerine yönelik artan talepleri karşılamak için işletmeler, en yeni teknolojik çözümleri benimsemektedir. Günümüzde; kumaş diken ve kesen robotlardan, stil trendlerini tahmin eden yapay zekâ algoritmalarına kadar, büyük değişikliklerle karşı karşıya olan konfeksiyon sektöründe; üretim sürecini otomatikleştiren, kişiselleştiren ve hızlandıran bir teknolojinin kullanımı vazgeçilmez bir zorunluluk arz etmektedir. Dahası bu zorunluluk, konfeksiyon şirketleri için yalnızca ürün ve hizmetlerin zamanında sunulmasında değil, aynı zamanda uzun vadeli sürdürülebilirliği devam ettirmek için de kritik hale gelmektedir. Bu nedenle, tekstil ve konfeksiyon sektörü için endüstri 4.0 bağlamında süreç entegrasyonu mutlak bir gerekliliktir. Bu araştırmada; konfeksiyon işletmelerinde endüstri 4.0 ekseninde akıllı üretim sistemi entegrasyonu için bir model önerisi sunulmuş olup, önerilen modelin entegrasyonunda oluşan zorluklar irdelenmiş ve süreç entegrasyonunun gelecek projeksiyonu değerlendirilmiştir.

Keywords

Endüstri 4.0, Konfeksiyon Sektörü, Akıllı Üretim Sistemleri

A Model Proposal for Intelligent Production Systems Integration in the Context of Industry 4.0 in Apparel Enterprises

Abstract

Industry 4.0 is a new industrial era in which businesses operating in the manufacturing and service sectors adopt and integrate advanced technologies to achieve sustainability and competitive advantage. Industry 4.0 is an unavoidable revolution in the manufacturing sector, especially for mass production enterprises such as clothing, fashion, and footwear. In order to meet the increasing demands for sustainable textile and apparel products, businesses adopt the latest technological solutions. Today, the apparel industry is facing big changes, from robots that sew and cut fabrics to artificial intelligence algorithms that anticipate style trends. The use of technology that automates, personalizes, and accelerates the production process is an indispensable necessity to stay competitive. Moreover, this imperative becomes critical for apparel companies not only to deliver the best products and services on time but also to maintain long–term sustainability. Therefore, process integration has become an absolute necessity in the context of industry 4.0 for the textile and apparel industry. In this study, a model for the integration of the smart production system is proposed. In apparel businesses adopting industry 4.0, the difficulties arising in the integration of the proposed model are examined and future projections of the process integration are evaluated.

Keywords

Industry 4.0, Apparel Industry, Smart Production Systems

References

• [1] M. Dastbaz and P. Cochrane, Eds., Industry 4.0 and Engineering for a Sustainable Future, Cham, Switzerland: Springer International Publishing, 2019, pp. 13–65.
• [2] S. S. Muthu, eds., Circular Economy in Textiles And Apparel: Processing, Manufacturing, and Design. Duxford, UK: Cambridge, Ma: Woodhead Publishing, an Imprint of Elsevier, 2019, pp. 207–217.
• [3] A. G. Frank, L. S. Dalenogare, and N. F. Ayala, “Industry 4.0 technologies: Implementation patterns in manufacturing companies,” Int. J. Prod. Econ., vol. 210, pp. 15–26, 2019.
• [4] World Trade Organization. (2021, March 13). World trade statistical review 2020 [Online]. Available: https://www.wto.org/english/res_e/statis_e/wts2020_e/wts2020_e.pdf.
• [5] İ. İlhan, “Tekstil üretim süreçleri açısından endüstri 4.0 kavramı,” Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 25, s. 7, ss. 810–823, 2018.
• [6] T.–M. J. Choi, Information Systems for The Fashion and Apparel Industry, 1st ed., Duxford, UK: Elsevier Ltd., 2016, pp. 199–217.
• [7] S. Ahmad, S. Miskon, R. Alabdan, and I. Tlili, “Towards sustainable textile and apparel industry: Exploring the role of business ıntelligence systems in the era of industry 4.0,” Sustainability, vol. 12, no. 7, pp. 2632, Mar. 2020.
• [8] J. Bellemare, “Fashion apparel industry 4.0 and smart mass customization approach for clothing product design,” in Customization 4.0, S. Hankammer, K. Nielsen, F. T. Piller, G. Schuh and N. Wang, Ed., Cham: Springer International Publishing, 2018, pp. 619–633.
• [9] G. Büchi, M. Cugno, and R. Castagnoli, “Smart factory performance and industry 4.0,” Technol. Forecast. Soc. Change, vol. 150, no. 119790, 2020.
• [10] M. Ghobakhloo, “Industry 4.0, digitization, and opportunities for sustainability,” J. Clean. Prod., vol. 252, no. 119869, 2020.
• [11] S. Gürsev, “Generating an assessment model for industry 4.0,” Doktora tezi, Marmara Üniversitesi, İstanbul, Türkiye, 2019.
• [12] R. Nayak and R. Padhye, “Introduction: the apparel industry,” in Garment Manufacturing Technology, 1st ed., Cambridge, UK: Elsevier, Woodhead Publishing, 2015, pp. 1–17.
• [13] B. Hinings, T. Gegenhuber, and R. Greenwood, “Digital innovation and transformation: An institutional perspective,” Inf. Organ., vol. 28, no. 1, pp. 52–61, 2018.
• [14] A. Petrillo, F. D. Felice, R. Cioffi, and F. Zomparelli, “Fourth industrial revolution: Current practices, challenges, and opportunities,” in Digital Transformation in Smart Manufacturing, A. Petrillo, R. Cioffi, and F. D. Felice, Ed., Rejeka, Croatia: Intech, 2018.
• [15] M. W. Rundassa, D. K. Azene, and E. Berhan, “Comparative advantage of ethiopian textile and apparel industry,” Res. J. Text. Appar., vol. 23, no. 3, pp. 244–256, 2019.
• [16] E. G. Popkova, Y. V. Ragulina, and A. V. Bogoviz, Ed., Industry 4.0: Industrial Revolution of The 21st Century, vol. 169. Cham, Switzerland: Springer International Publishing, 2019.
• [17] H. Lasi, P. Fettke, H.–G. Kemper, T. Feld, and M. Hoffmann, “Industry 4.0,” Bus. Inf. Syst. Eng., vol. 6, no. 4, pp. 239–242, 2014.
• [18] C. Machado and J. P. Davim, Ed., Industry 4.0: Challenges, Trends, And Solutions In Management and Engineering, Boca Raton, FL: Crc Press/Taylor & Francis Group, 2020.
• [19] A. Majumdar, H. Garg, and R. Jain, “Managing the barriers of industry 4.0 adoption and implementation in textile and clothing industry: Interpretive structural model and triple helix framework,” Comput. Ind., no. 103372, 2020.
• [20] Statista. (2021, March 13). Global Size of The Smart Factory Market in 2019 and 2024 [Online]. Available: https://www.statista.com/statistics/872289/worldwide–smart–factory–market–size.
• [21] D. N. Koleva, “Industry 4.0’s opportunities and challenges for production engineering and management,” vol. 1, no. 2, pp. 17–18, 2018.
• [22] A. Khan and K. Turowski, “A perspective on industry 4.0: From challenges to opportunities in production systems,” in Proceedings of The International Conference On Internet Of Things And Big Data, Rome, Italy, 2016, pp. 441–448.
• [23] M. Ghobakhloo, “The future of manufacturing industry: A strategic roadmap toward industry 4.0,” J. Manuf. Technol. Manag., vol. 29, no. 6, pp. 910–936, 2018.
• [24] A. Ghadge, M. Er Kara, H. Moradlou, and M. Goswami, “The impact of industry 4.0 implementation on supply chains,” J. Manuf. Technol. Manag., vol. 31, no 4, pp. 669–686, 2020.
• [25] Y. Cheng, K. Chen, H. Sun, Y. Zhang, and F. Tao, “Data and knowledge mining with big data towards smart production,” J. Ind. Inf. Integr., vol. 9, pp. 1–13, 2018.
• [26] G. R. Kanagachidambaresan, R. Anand, E. Balasubramanian, and V. Mahima, Ed., Internet Of Things For Industry 4.0: Design, Challenges And Solutions, Cham, Switzerland: Springer International Publishing, 2020.
• [27] J. Lee, H. Davari, J. Singh, and V. Pandhare, “Industrial artificial intelligence for industry 4.0-based manufacturing systems,” Manuf. Lett., vol. 18, pp. 20–23, 2018.
• [28] L. Zhe, D. Tao, and T. Huan, “Research on garment mass customization architecture for intelligent manufacturing cloud,” E3s Web Conf., vol. 179, no. 02125, 2020.
• [29] M. Sony, “Pros and cons of implementing industry 4.0 for the organizations: A review and synthesis of evidence,” Prod. Manuf. Res., vol. 8, no 1, pp. 244–272, 2020.
• [30] M. W. Waibel, L. P. Steenkamp, N. Moloko, and G. A. Oosthuizen, “Investigating the effects of smart production systems on sustainability elements,” Procedia Manuf., vol. 8, pp. 731–737, 2017.
• [31] A. Z. Piprani, N. I. Jaafar, and S. Mohezar Ali, “Prioritizing resilient capability factors of dealing with supply chain disruptions: An analytical hierarchy process (ahp) application in the textile industry,” Benchmarking Int. J., vol. 27, no. 9, pp. 2537–2563, 2020.
• [32] K. P. Subramaniya, C. Ajay Guru Dev, and V. S. Senthilkumar, “Critical success factors: A topsis approach to ıncrease agility level in a textile industry,” in Materials Today: Proceedings, 2017, vol. 4, pp. 1510–1517.
• [33] M. M. Queiroz, S. Fosso Wamba, M. C. Machado, and R. Telles, “Smart production systems drivers for business process management improvement: An integrative framework,” Bus. Process Manag. J., vol. 26, no. 5, pp. 1075–1092, 2020.
• [34] Y. Zhang, Z. Guo, J. Lv, and Y. Liu, “A Framework for smart production-logistics systems based on cps and industrial iot,” Ieee Trans. Ind. Inform., vol. 14, no. 9, pp. 4019–4032, 2018.
• [35] C. Zhuang, J. Liu, and H. Xiong, “Digital twin-based smart production management and control framework for the complex product assembly shop-floor,” Int. J. Adv. Manuf. Technol., vol. 96, no. 1–4, pp. 1149–1163, 2018.
• [36] E. Gökalp, M. O. Gökalp, ve P. E. Eren, “Hazır giyim ve konfeksiyon sektöründe endüstri 4.0 devrimi: Akıllı konfeksiyon fabrikası önerisi,” Ajıt–E Bilişim Teknol. Online Derg., c. 10, s. 37, ss. 73–96, 2019.
• [37] 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.