PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Towards Industry 4.0: digital transformation of traditional safety shoes manufacturer in Thailand with a development of production tracking system

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
There are many digital transformation challenges going forward towards Industry 4.0 in Thailand, especially for the traditional manufacturing firms that have been operating without digital technologies. The paper presents a case study of a safety shoe manufacturer, CPL Group Public Company Limited, adopting digital technologies to transform its production system of 40 years. It presents a conceptual design for production tracking based on IoT technologies for productivity improvement. This research uses inductive case study research design by interviewing executives and participating in the digital tracking development project using IoT sensors and image processing. The findings show the key success factors of digital transformation in manufacturing, strategies required for development, and the conceptual design of the production tracking system.
Rocznik
Strony
79--94
Opis fizyczny
Bibliogr. 51 poz., fot., rys.
Twórcy
  • Department of Computer Science, Faculty of Science and Technology, Thammasat University, Thailand
  • School of Management Technology, Sirindhorn International Institute of Technology, Thammasat University, Thailand
  • School of Management Technology, Sirindhorn International Institute of Technology, Thammasat University, Thailand
  • SMART Sense Industrial Design Co., Ltd., Bangkok, Thailand
Bibliografia
  • Adulyanukosol, A., & Silpcharu, T. (2020). Footwear Design Strategies for the Thai Footwear Industry to Be Excellent in the World Market. Journal of Open Innovation: Technology, Market, and Complexity, 6(1), 5-16. doi: 10.3390/joitmc6010005
  • Alcácer, V., & Cruz-Machado, V. (2019). Scanning The Industry 4.0: A Literature Review on Technologies for Manufacturing Systems. Engineering Science and Technology, An International Journal, 22(3), 899-919.
  • Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A Survey. Computer Networks, 54(15), 2787- 2805.
  • Baena, F., Guarin, A., Mora, J., Sauza, J., & Retat, S. (2017). Learning Factory: The Path to Industry 4.0. Procedia Manufacturing, 9, 73-80.
  • Baird, A., & Raghu, T. (2015). Associating Consumer Perceived Value with Business Models for Digital Services. European Journal of Information Systems, 24(1), 4-22.
  • Bertola, P., & Teunissen, J. (2018). Fashion 4.0. Innovating Fashion Industry through Digital Transformation. Research Journal of Textile and Apparel, 22(4), 352- 369. doi: 10.1108/RJTA-03-2018-0023
  • Bevilacqua M., Ciarapica F. E., & Mazzuto G. (2017). Development of Scheduling Systems for a Shoe Factory Through IDEF0 and RFID Technologies. In R. Rinaldi & R. Bandinelli (Eds.), Business Models and ICT Technologies for the Fashion Supply Chain. IT4Fashion 2016. Lecture Notes in Electrical Engineering, 413. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-48511-9_15
  • Borangiu, T., Trentesaux, D., Thomas, A., Leitão, P., & Barata, J. (2019). Digital Transformation Of Manufacturing through Cloud Services and Resource Virtualization. Computers in Industry, 108, 150-162.
  • Calderón-Andrade, R., Hernández-Gress, E. S., & Montufar Benítez, M. A. (2020). Productivity Improvement through Reengineering and Simulation: A Case Study in a Footwear-Industry. Applied Sciences, 10(16), 5590-5616.
  • Castillo-Castañeda J., Tarazona-Lopez B., Leon-Chavarri C., Cardenas L. (2021). Productivity Improvement of a Footwear Manufacturing Company Through Lean Tools. In S. Trzcielinski, B. Mrugalska, W. Karwowski, E. Rossi, & M. Di Nicolantonio (Eds.), Advances in Manufacturing, Production Management and Process Control. AHFE 2021. Lecture Notes in Networks and Systems, 274. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-80462-6_53
  • Chen, R.-S., & Tu, M. A. (2009). Development of an Agent- Based System for Manufacturing Control and Coordination with Ontology and RFID Technology. Expert Systems with Applications, 36(4), 7581-7593.
  • Dafflon, B., Moalla, N., & Ouzrout, Y. (2021). The Challenges, Approaches, and Used Techniques of CPS for Manufacturing in Industry 4.0: A Literature Review. The International Journal of Advanced Manufacturing Technology, 113(7-8), 2395-2412. doi: 10.1007/s00170-020-06572-4
  • Dang, Q.-V., & Pham, K. (2016). Design of a Footwear Assembly Line using Simulation-Based ALNS. Procedia CIRP, 40, 596-601.
  • Ding, K., Jiang, P., & Su, S. (2018). RFID-enabled Social Manufacturing System for Inter-Enterprise Monitoring and Dispatching of Integrated Production and Transportation Tasks. Robotics and Computer-Integrated Manufacturing, 49, 120-133. doi: 10.1016/j.rcim.2017.06.009
  • Fitzgerald, M., Kruschwitz, N., Bonnet, D., & Welch, M. (2014). Embracing Digital Technology: A New Strategic Imperative. MIT Sloan Management Review, 55(2), 1.
  • Gajdzik, B., Grabowska, S., & Saniuk, S. (2021). Key socioeconomic megatrends and trends in the context of the Industry 4.0 framework. Forum Scientiae Oeconomia, 9(3), 5-22. doi: 10.23762/FSO_VOL9_NO3_1
  • Hess, T., Matt, C., Benlian, A., & Wiesböck, F. (2016). Options for Formulating a Digital Transformation Strategy. MIS Quarterly Executive, 15(2). 123-139.
  • Himang, C., Ocampo, L., Obiso, J.-J., Bongo, M., Caballes, S. A., Abellana, D. P., Deocaris, C., & Ancheta, R. (2020). Defining Stages of the Industry 4.0 Adoption via Indicator Sets. Engineering Management in Production and Services, 12(2), 32-55. doi: 10.2478/ emj-2020-0010
  • Hofmann, E., Sternberg, H., Chen, H., Pflaum, A., & Prockl, G. (2019). Supply Chain Management and Industry 4.0: Conducting Research in the Digital Age. International Journal of Physical Distribution & Logistics Management,49(10), 945-955.
  • Huang, G., Wright, P., & Newman, S. T. (2009). Wireless Manufacturing: A Literature Review, Recent Developments, and Case Studies. International Journal of Computer Integrated Manufacturing, 22(7), 579-594.
  • Issa, A., Hatiboglu, B., Bildstein, A., & Bauernhansl, T. (2018). Industrie 4.0 Roadmap: Framework for Digital Transformation based on the Concepts of Capability Maturity and Alignment. Procedia CIRP, 72, 973-978.
  • Jagtap, S., Bhatt, C., Thik, J., & Rahimifard, S. (2019). Monitoring Potato Waste in Food Manufacturing Using Image Processing and Internet of Things Approach. Sustainability, 11(11), 3173-3185. doi: 10.3390/ su11113173
  • Jagtap, S., & Rahimifard, S. (2019). The Digitisation of Food Manufacturing to Reduce Waste - Case Study of a Ready Meal Factory. Waste Management, 87, 387- 397. doi: 10.1016/j.wasman.2019.02.017
  • Jimeno-Morenilla, A., Azariadis, P., Molina-Carmona, R., Kyratzi, S., & Moulianitis, V. (2021). Technology Enablers for the Implementation of Industry 4.0 to Traditional Manufacturing Sectors: A Review. Computers in Industry, 125, 103390-103403. doi: 10.1016/j.compind.2020.103390
  • Jones, M. D., Hutcheson, S., & Camba, J. D. (2021). Past, Present, and Future Barriers to Digital Transformation in Manufacturing: A Review. Journal of Manufacturing Systems, (in press). doi: 10.1016/j.jmsy.2021.03.006
  • Kane, G. C., Palmer, D., Phillips, A. N., Kiron, D., & Buckley, N. (2015). Strategy, Not Technology, Drives Digital Transformation. MIT Sloan Management Review and Deloitte University Press, 14(1-25).
  • Kutnjak, A., Pihiri, I., & Furjan, M. T. (2019). Digital Transformation Case Studies Across Industries–Literature Review. In 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 20-24 May 2019, Opatija, Croatia.
  • Mahmood, F., Khan, A. Z., & Khan, M. B. (2019). Digital Organizational Transformation Issues, Challenges and Impact: A Systematic Literature Review of a Decade. Abasyn University Journal of Social Sciences, 12(2), 231-249.
  • Minoufekr, M., Driate, A., & Plapper, P. W. (2019). An IoT Framework for Assembly Tracking and Scheduling in Manufacturing SME. ICINCO, 2, 585-594.
  • Mokhtar, S. S. S., Mahomed, A. S. B., Aziz, Y. A., & Rahman, S. Ab. (2020). Industry 4.0: the importance of innovation in adopting cloud computing among SMEs in Malaysia. Polish Journal of Management Studies, 22(1), 310-322.
  • Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., Sauer, O., Schuh, G., Sihn, W., & Ueda, K. (2016). Cyber-Physical Systems in Manufacturing. CIRP Annals, 65(2), 621-641.
  • Musikthong, C., & Chutima, P. (2020). The Development of Machineries and Technologies to Support Digital Transformation. In Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering, 7-9 April 2020, Osaka, Japan.
  • Nemec, B., Lenart, B., & Zlajpah, L. (2003). Automation of Lasting Operation in Shoe Production Industry. In IEEE International Conference on Industrial Technology, 10-12 December 2003, Maribor, Slovenia.
  • Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic Analysis. International Journal of Qualitative Methods, 16(1). doi: 10.1177/1609406917733847
  • Nwaiwu, F., Duduci, M., Chromjakova , F., & Otekhile, C.- A. F. (2020). Industry 4.0 concepts within the Czech SME manufacturing sector: an empirical assessment of critical success factors. Business: Theory and Practice, 21(1), 58-70. doi: 10.3846/btp.2020.10712
  • Paulk, M. C., Curtis, B., Chrissis, M. B., & Weber, C. V. (1993). Capability Maturity Model, Version 1.1. IEEE Software, 10(4), 18-27.
  • Perales D. P., Valero F. A., García A. B. (2018). Industry 4.0: A Classification Scheme. In E. Viles, M. Ormazábal, & A. Lleó (Eds.), Closing the Gap Between Practice and Research in Industrial Engineering. Lecture Notes in Management and Industrial Engineering. Cham, Switzerland: Springer. doi: 10.1007/978-3-319- 58409-6_38
  • Peruzzini, M., Grandi, F., & Pellicciari, M. (2017). Benchmarking of Tools for User Experience Analysis in Industry 4.0. Procedia Manufacturing, 11, 806-813.
  • Sadeghi, P., Rebelo, R. D., & Ferreira, J. S. (2021). Using Variable Neighbourhood Descent and Genetic Algorithms for Sequencing Mixed-Model Assembly Systems in the Footwear Industry. Operations Research Perspectives, 8, 100193-100212. doi: 10.1016/j.orp.2021.100193
  • Schweer, D., & Sahl, J. C. (2017). The Digital Transformation of Industry–The Benefit for Germany. In The Drivers of Digital Transformation (pp. 23-31). Cham, Switzerland: Springer.
  • Siderska, J. (2020). Robotic Process Automation — A Driver of Digital Transformation? Engineering Management in Production and Services, 12(2), 21-31. doi: 10.2478/emj-2020-0009
  • Stoldt, J., Trapp, T. U., Toussaint, S., Süße, M., Schlegel, A., & Putz, M. (2018). Planning for Digitalisation in SMEs using Tools of the Digital Factory. Procedia CIRP, 72, 179-184.
  • Tran, M. D., Tran, T. H., Vu, D. T., & Nguyen, T. C. (2021). Case Study: Prototyping a Low-Cost Integrated Automation System in Footwear Industry for Small and Medium Enterprises in Vietnam. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020), 12-15 November 2020, Nha Trang, Vietnam.
  • Valenduc, G., & Vendramin, P. (2017). Digitalisation, between Disruption and Evolution. Transfer: European Review of Labour and Research, 23(2), 121-134.
  • Vial, G. (2019). Understanding Digital Transformation: A Review and a Research Agenda. The Journal of Strategic Information Systems, 28(2), 118-144.
  • Vogelsang, K., Liere-Netheler, K., Packmohr, S., & Hoppe, U. (2019). Success Factors for Fostering a Digital Transformation in Manufacturing Companies. Journal of Enterprise Transformation, 8(1-2), 121-142. doi: 10.1080/19488289.2019.1578839
  • Wright, P. (2014). Cyber-Physical Product Manufacturing. Manufacturing Letters, 2(2), 49-53.
  • Zangiacomi, A., Zhijian, L., Sacco, M., & Boër, C. R. (2004). Process Planning and Scheduling for Mass Customised Shoe Manufacturing. International Journal of Computer Integrated Manufacturing, 17(7), 613-621.
  • Zhao, Z., Lin, P., Shen, L., Zhang, M., & Huang, G. Q. (2020). IoT Edge Computing-Enabled Collaborative Tracking System for Manufacturing Resources in Industrial Park. Advanced Engineering Informatics, 43, 101044-101056. doi: 10.1016/j.aei.2020.101044-101056
  • Zhang, Y., & Sun, S. (2013). Real-time data driven monitoring and optimization method for IoT-based sensible production process. Proceeding of the 10th IEEE international conference on networking, sensing and control (ICNSC), 10-12 April 2013, Evry, France.
  • Zhong, R. Y., Dai, Q. Y., Qu, T., Hu, G. J., & Huang, G. Q. (2013). RFID-enabled real-time manufacturing execution system for mass-customization production. Robotics and Computer-Integrated Manufacturing, 29(2), 283-292.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f6276cc5-66ee-4565-9aa7-16db93474f53
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.