Industry 4.0, or the Fourth Industrial Revolution, is based on digitized the manufacturing process and makes use of all digital tools so its combination of various digital technologies computers, ERP software, IoT, machine learning and AI techniques, Manufacturing Execution Systems (MES), and big data analytics to create a new, fully digitized manufacturing system. The Critical Success Factors (CSFs) of MES adoption are both a quantitative and qualitative measurement. We use the case of ready-made garments to improve each of the three Overall Equipment Efficiency (OEE) factors: Availability, Performance, and Quality. In this study, we adopt real-time management of production activities on the shop floor from order receipt to finished products, then measure the improvement.
References
[1]
Caggiano, A., Segreto, T. and Teti, R. (2016) Cloud Manufacturing Framework for Smart Monitoring of Machining. Procedia CIRP, 55, 248-253. https://doi.org/10.1016/j.procir.2016.08.049
[2]
Gao, R., Wang, L., Teti, R., Dornfeld, D., Kumara, S., Mori, M., et al. (2015) Cloud-Enabled Prognosis for Manufacturing. CIRP Annals, 64, 749-772. https://doi.org/10.1016/j.cirp.2015.05.011
[3]
Liu, C. H. and R. Y. Zhong (2017) Internet of Things for Manufacturing in the Context of Industry 4.0. Transdisciplinary Engineering, 6, 1013-1022.
[4]
Qiu, X., Luo, H., Xu, G., Zhong, R. and Huang, G.Q. (2015) Physical Assets and Service Sharing for IoT-Enabled Supply Hub in Industrial Park (SHIP). International Journal of Production Economics, 159, 4-15. https://doi.org/10.1016/j.ijpe.2014.09.001
[5]
Qu, T., Lei, S., Chen, Y., Wang, Z., Luo, H. and Huang, G.Q. (2014) Internet-of-Things-Enabled Smart Production Logistics Execution System Based on Cloud Manufacturing. International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference, Detroit, 9-13 June 2014, MSEC2014-4194. https://doi.org/10.1115/msec2014-4194
[6]
Tao, F., Cheng, Y., Xu, L.D., Zhang, L. and Li, B.H. (2014) CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System. IEEE Transactions on Industrial Informatics, 10, 1435-1442. https://doi.org/10.1109/tii.2014.2306383
[7]
Tao, F., Zuo, Y., Xu, L.D. and Zhang, L. (2014) IoT-Based Intelligent Perception and Access of Manufacturing Resource toward Cloud Manufacturing. IEEE Transactions on Industrial Informatics, 10, 1547-1557. https://doi.org/10.1109/tii.2014.2306397
[8]
Wang, L., Törngren, M. and Onori, M. (2015) Current Status and Advancement of Cyber-Physical Systems in Manufacturing. Journal of Manufacturing Systems, 37, 517-527. https://doi.org/10.1016/j.jmsy.2015.04.008
[9]
Yu, Y., Wang, X., Zhong, R.Y. and Huang, G.Q. (2017) E-Commerce Logistics in Supply Chain Management. Industrial Management & Data Systems, 117, 2263-2286. https://doi.org/10.1108/imds-09-2016-0398
[10]
Zhong, R.Y., Dai, Q.Y., Qu, T., Hu, G.J. and Huang, G.Q. (2013) RFID-Enabled Real-Time Manufacturing Execution System for Mass-Customization Production. Robotics and Computer-Integrated Manufacturing, 29, 283-292. https://doi.org/10.1016/j.rcim.2012.08.001
[11]
Zhong, R.Y., Huang, G.Q., Lan, S., Dai, Q.Y., Chen, X. and Zhang, T. (2015) A Big Data Approach for Logistics Trajectory Discovery from RFID-Enabled Production Data. International Journal of Production Economics, 165, 260-272. https://doi.org/10.1016/j.ijpe.2015.02.014
[12]
Zhong, R.Y., Huang, G.Q., Lan, S., Dai, Q.Y., Zhang, T. and Xu, C. (2015) A Two-Level Advanced Production Planning and Scheduling Model for RFID-Enabled Ubiquitous Manufacturing. Advanced Engineering Informatics, 29, 799-812. https://doi.org/10.1016/j.aei.2015.01.002
[13]
Zhong, R.Y., Lan, S., Xu, C., Dai, Q. and Huang, G.Q. (2015) Visualization of RFID-Enabled Shopfloor Logistics Big Data in Cloud Manufacturing. The International Journal of Advanced Manufacturing Technology, 84, 5-16. https://doi.org/10.1007/s00170-015-7702-1
[14]
Zhong, R.Y., Xu, X., Klotz, E. and Newman, S.T. (2017) Intelligent Manufacturing in the Context of Industry 4.0: A Review. Engineering, 3, 616-630. https://doi.org/10.1016/j.eng.2017.05.015
[15]
Zhong, R.Y., Xu, X. and Wang, L. (2017) IoT-Enabled Smart Factory Visibility and Traceability Using Laser-Scanners. Procedia Manufacturing, 10, 1-14. https://doi.org/10.1016/j.promfg.2017.07.103
[16]
Liu, F. and. Miao, Z (2006) The Application of RFID Technology in Production Control in the Discrete Manufacturing Industry. 2006 IEEE International Conference on Video and Signal Based Surveillance, Sydney, 22-24 November 2006, 68. https://doi.org/10.1109/AVSS.2006.111
[17]
Chryssolouris, G., Mavrikios, D., Papakostas, N., Mourtzis, D., Michalos, G. and Georgoulias, K. (2009) Digital Manufacturing: History, Perspectives, and Outlook. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 223, 451-462. https://doi.org/10.1243/09544054jem1241
[18]
Rieback, M.R., Crispo, B. and Tanenbaum, A.S. (2006) The Evolution of RFID Security. IEEE Pervasive Computing, 5, 62-69. https://doi.org/10.1109/mprv.2006.17
[19]
Al‐Mashari, M. and Al‐Mudimigh, A. (2003) ERP Implementation: Lessons from a Case Study. Information Technology & People, 16, 21-33. https://doi.org/10.1108/09593840310463005
[20]
Bendoly, E. and Schoenherr, T. (2005) ERP System and Implementation‐Process Benefits. International Journal of Operations & Production Management, 25, 304-319. https://doi.org/10.1108/01443570510585516
[21]
Cox, J.F. and Blackstone, J.H. (2005) APICS Dictionary. 11th Edition, Amer Production & Inventory.
[22]
Choi, B.K. and Kim, B.H. (2002) MES (Manufacturing Execution System) Architecture for FMS Compatible to ERP (Enterprise Planning System). International Journal of Computer Integrated Manufacturing, 15, 274-284. https://doi.org/10.1080/09511920110059106
[23]
Dowlatshahi, S. and Cao, Q. (2006) The Relationships among Virtual Enterprise, Information Technology, and Business Performance in Agile Manufacturing: An Industry Perspective. European Journal of Operational Research, 174, 835-860. https://doi.org/10.1016/j.ejor.2005.02.074
[24]
Gupta, A. (2000) Enterprise Resource Planning: The Emerging Organizational Value Systems. Industrial Management & Data Systems, 100, 114-118. https://doi.org/10.1108/02635570010286131
[25]
Hayes, R.H. and Wheelright, S.C. (1984) Restoring Our Competitive Edge: Competing through Manufacturing. John Wiley.
[26]
Hwang, Y. (2006) The Practices of Integrating Manufacturing Execution System and Six Sigma Methodology. The International Journal of Advanced Manufacturing Technology, 30, 761-768. https://doi.org/10.1007/s00170-005-0090-1
[27]
Kall, J. (1999) Manufacturing Execution Systems: Leveraging Data for Competitive Advantage. Quality Digest, 19, 31-34.
[28]
Miguel, P.A.C. (2007) Estudo de caso na engenharia de produção: Estruturação e recomendações para sua condução. Production, 17, 216-229. https://doi.org/10.1590/s0103-65132007000100015
[29]
Miguel, P.A.C. (2010) Adoção do estudo de caso na engenharia de produção, In: Cauchick, P.P., Ed., Metodologia de pesquisaemengenharia de produção e gestão de operaçães: Rio de Janeiro, Elsevier, 129-143.
[30]
Molina, A. and Santaella, A.R. (2006) Achieving E-Manufacturing: Multihead Control and Web Technology for the Implementation of a Manufacturing Execution System. Journal of Intelligent Manufacturing, 17, 715-724. https://doi.org/10.1007/s10845-006-0040-2
[31]
Neves, J.M.S. (2011) Contribuições da implantação da tecnologia de informação MES-Manufacturing Execution System-para a melhoria das dimensões competitivas da manufatura-Estudo de caso. Doctor Thesis, São Paulo State University.
[32]
Nicolaou, A.I. (2004) Firm Performance Effects in Relation to the Implementation and Use of Enterprise Resource Planning Systems. Journal of Information Systems, 18, 79-105. https://doi.org/10.2308/jis.2004.18.2.79
[33]
Santos, F.C.A. (2000) Integration of Human Resource Management and Competitive Priorities of Manufacturing Strategy. International Journal of Operations & Production Management, 20, 610-628. https://doi.org/10.1108/01443570010318986
[34]
Snoeij, J. (2006) MES Product Survey 2006, LogicaCMG. MESCC-Manufacturing Execution System Competence Center, Arnhem.
[35]
Wu, Y., Xu, X. and Li, C. (2008) Modeling Research on Manufacturing Execution System Based on Large-Scale System Cybernetics. Journal of Shanghai Jiaotong University (Science), 13, 744-747. https://doi.org/10.1007/s12204-008-0744-x
[36]
Komakech, A.O., Liu, J., Omo, A. and Basua, E.A.A. (2021) The Impacts of Industry 4.0 on Marketing Activities and Strategies of Iron and Steel Industry in Developing Countries: Case for Uganda. Open Journal of Social Sciences, 9, 591-626. https://doi.org/10.4236/jss.2021.95034
[37]
Koumas, M., Dossou, P. and Didier, J. (2021) Digital Transformation of Small and Medium Sized Enterprises Production Manufacturing. Journal of Software Engineering and Applications, 14, 607-630. https://doi.org/10.4236/jsea.2021.1412036
[38]
Asadollahi-Yazdi, E., Couzon, P., Nguyen, N.Q., Ouazene, Y. and Yalaoui, F. (2020) Industry 4.0: Revolution or Evolution? American Journal of Operations Research, 10, 241-268. https://doi.org/10.4236/ajor.2020.106014
