[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/joitmc601000510.3390/joitmc6010005]Search in Google Scholar
[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), 899-919.10.1016/j.jestch.2019.01.006]Search in Google Scholar
[Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A Survey. Computer Networks, 54(15), 2787-2805.10.1016/j.comnet.2010.05.010]Search in Google Scholar
[Baena, F., Guarin, A., Mora, J., Sauza, J., & Retat, S. (2017). Learning Factory: The Path to Industry 4.0. Procedia Manufacturing, 9, 73-80.10.1016/j.promfg.2017.04.022]Search in Google Scholar
[Baird, A., & Raghu, T. (2015). Associating Consumer Perceived Value with Business Models for Digital Services. European Journal of Information Systems, 24(1), 4-22.10.1057/ejis.2013.12]Search in Google Scholar
[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-03-2018-002310.1108/RJTA-03-2018-0023]Search in Google Scholar
[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_1510.1007/978-3-319-48511-9_15]Search in Google Scholar
[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, 150-162.10.1016/j.compind.2019.01.006]Search in Google Scholar
[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), 5590-5616.10.3390/app10165590]Search in Google Scholar
[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_5310.1007/978-3-030-80462-6_53]Search in Google Scholar
[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), 7581-7593.10.1016/j.eswa.2008.09.068]Search in Google Scholar
[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/s00170-020-06572-410.1007/s00170-020-06572-4]Search in Google Scholar
[Dang, Q.-V., & Pham, K. (2016). Design of a Footwear Assembly Line using Simulation-Based ALNS. Procedia CIRP, 40, 596-601.10.1016/j.procir.2016.01.140]Search in Google Scholar
[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.2017.06.00910.1016/j.rcim.2017.06.009]Search in Google Scholar
[Fitzgerald, M., Kruschwitz, N., Bonnet, D., & Welch, M. (2014). Embracing Digital Technology: A New Strategic Imperative. MIT Sloan Management Review, 55(2), 1.]Search in Google Scholar
[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]Search in Google Scholar
[Hess, T., Matt, C., Benlian, A., & Wiesböck, F. (2016). Options for Formulating a Digital Transformation Strategy. MIS Quarterly Executive, 15(2). 123-139.]Search in Google Scholar
[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-2020-001010.2478/emj-2020-0010]Search in Google Scholar
[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), 945-955.10.1108/IJPDLM-11-2019-399]Search in Google Scholar
[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), 579-594.10.1080/09511920701724934]Search in Google Scholar
[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, 973-978.10.1016/j.procir.2018.03.151]Search in Google Scholar
[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/su1111317310.3390/su11113173]Search in Google Scholar
[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.2019.02.01710.1016/j.wasman.2019.02.01731109539]Search in Google Scholar
[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.2020.10339010.1016/j.compind.2020.103390]Search in Google Scholar
[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.2021.03.00610.1016/j.jmsy.2021.03.006]Search in Google Scholar
[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).]Search in Google Scholar
[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.10.23919/MIPRO.2019.8756911]Search in Google Scholar
[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), 231-249.10.34091/AJSS.12.2.03]Search in Google Scholar
[Minoufekr, M., Driate, A., & Plapper, P. W. (2019). An IoT Framework for Assembly Tracking and Scheduling in Manufacturing SME. ICINCO, 2, 585-594.10.5220/0007921805850594]Search in Google Scholar
[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), 310-322.10.17512/pjms.2020.22.1.20]Search in Google Scholar
[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), 621-641.10.1016/j.cirp.2016.06.005]Search in Google Scholar
[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.10.1145/3396743.3396764]Search in Google Scholar
[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.10.1109/ICIT.2003.1290363]Search in Google Scholar
[Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic Analysis. International Journal of Qualitative Methods, 16(1). doi: 10.1177/160940691773384710.1177/1609406917733847]Search in Google Scholar
[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.2020.1071210.3846/btp.2020.10712]Search in Google Scholar
[Paulk, M. C., Curtis, B., Chrissis, M. B., & Weber, C. V. (1993). Capability Maturity Model, Version 1.1. IEEE Software, 10(4), 18-27.10.1109/52.219617]Search in Google Scholar
[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_3810.1007/978-3-319-58409-6_38]Search in Google Scholar
[Peruzzini, M., Grandi, F., & Pellicciari, M. (2017). Benchmarking of Tools for User Experience Analysis in Industry 4.0. Procedia Manufacturing, 11, 806-813.10.1016/j.promfg.2017.07.182]Search in Google Scholar
[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.2021.10019310.1016/j.orp.2021.100193]Search in Google Scholar
[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.10.1007/978-3-319-31824-0_3]Search in Google Scholar
[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-2020-000910.2478/emj-2020-0009]Search in Google Scholar
[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, 179-184.10.1016/j.procir.2018.03.100]Search in Google Scholar
[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.10.1007/978-3-030-69610-8_11]Search in Google Scholar
[Valenduc, G., & Vendramin, P. (2017). Digitalisation, between Disruption and Evolution. Transfer: European Review of Labour and Research, 23(2), 121-134.10.1177/1024258917701379]Search in Google Scholar
[Vial, G. (2019). Understanding Digital Transformation: A Review and a Research Agenda. The Journal of Strategic Information Systems, 28(2), 118-144.10.1016/j.jsis.2019.01.003]Search in Google Scholar
[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: 10.1080/19488289.2019.157883910.1080/19488289.2019.1578839]Search in Google Scholar
[Wright, P. (2014). Cyber-Physical Product Manufacturing. Manufacturing Letters, 2(2), 49-53.10.1016/j.mfglet.2013.10.001]Search in Google Scholar
[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), 613-621.10.1080/0951192042000273177]Search in Google Scholar
[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.2020.101044-10105610.1016/j.aei.2020.101044]Search in Google Scholar
[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.10.1109/ICNSC.2013.6548787]Search in Google Scholar
[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), 283-292.10.1016/j.rcim.2012.08.001]Search in Google Scholar