ABSTRACT
Digital technology has become an important role in organization development. Therefore, it should be aligned with the policy of Thailand Industry 4.0 which helps the country drive forward and is an implementation model for government section, state enterprises, and private section. This policy can help them work efficiently, raise their business value and increase their potential as well as their efficiency of business operation. The case study factory, Security printing business, needs to be researched and be analyzed on an operational plan preparing for Digital transformation. An essential component for the state enterprises in the manufacturing industry is the preparation of automated machinery, digital and innovation technologies with the foundation of a flexible manufacturing system, focusing on the change of working process to Smart Factory. It integrates automated machinery and operators with connected equipment through the network, which covers data collection, controllability, communication, and system operation. So, it prevents the problem of fragmented data in the factory departments when monitoring the status of devices in real-time. This study presents a development plan of machineries and technologies to support digital transformation to apply in organizations such as manufacturing information, machinery integration, security track trace and RFID system to be ready for production and inventory management systems. Furthermore, the factory will be able to support the digital system efficiently as well as to adjust changes in the market in terms of providing fast service and advanced technology to be survived in the future.
- Shrouf, Fadi and Ordieres, Joaquin and Miragliotta, Giovanni. 2014. Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm. 2014 IEEE international conference on industrial engineering and engineering management, IEEE, 697--701.Google ScholarCross Ref
- Kagermann, Henning and Helbig, Johannes and Hellinger, Ariane and Wahlster, Wolfgang. 2013. Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group. Forschungsunion.Google Scholar
- Thoben, Klaus-Dieter and Wiesner, Stefan and Wuest, Thorsten. 2017. Industrie 4.0" and smart manufacturing-a review of research issues and application examples. International Journal of Automation Technology, 11(1), 4--16.Google ScholarCross Ref
- Hwang, Gyusun and Lee, Jeongcheol and Park, Jinwoo and Chang, Tai-Woo. 2017. Developing performance measurement system for Internet of Things and smart factory environment. International journal of production research, 55(9), 2590--2602.Google Scholar
- Rong, Wu and Vanan, Gobinath Tamil and Phillips, Mark. 2016. The internet of things (IoT) and transformation of the smart factory. 2016 International Electronics Symposium (IES), IEEE, 399--402.Google ScholarCross Ref
- Hozdić, Elvis. 2015. Smart factory for industry 4.0:A review. International Journal of Modern Manufacturing Technologies, 7(1), 28--35.Google Scholar
- Thailand, I. E. A. o.. 2016. Thailand 4.0 Valued-Based Economy.Google Scholar
- Ustundag, Alp and Cevikcan, Emre.2017. Industry 4.0: managing the digital transformation. Springer.Google Scholar
- Chen, Baotong and Wan, Jiafu and Shu, Lei and Li, Peng and Mukherjee, Mithun and Yin, Boxing. 2017. Smart factory of industry 4.0: Key technologies, application case, and challenges. IEEE Access, 6, 6505--6519.Google ScholarCross Ref
- Mabkhot, Mohammed M and Al-Ahmari, Abdulrahman M and Salah, Bashir and Alkhalefah, Hisham. 2018. Requirements of the smart factory system: a survey and perspective. Machines, 6(2), 23.Google ScholarCross Ref
- Harrison, Robert and Vera, Daniel and Ahmad, Bilal. 2016. Engineering the smart factory. Chinese Journal of Mechanical Engineering, 29(6), 1046--1051.Google ScholarCross Ref
- Wang, Shiyong and Wan, Jiafu and Li, Di and Zhang, Chunhua.2016. Implementing smart factory of industrie 4.0: an outlook. International Journal of Distributed Sensor Networks, 12(1), 3159805.Google ScholarDigital Library
Index Terms
- The Development of Machineries and Technologies to Support Digital Transformation
Recommendations
Digital Transformation of Industrial Companies: What is Management 4.0?
ICEME '20: Proceedings of the 2020 11th International Conference on E-business, Management and EconomicsThe Industry 4.0 or also known as the 4th Industrial Revolution and its integral part in the digitalization of manufacturing companies cause big interest to researchers around the world. But as to date, the bulk of the work is devoted to the technical ...
Influence of digital transformation on the servitization level of manufacturing SMEs from static and dynamic perspectives
AbstractThe servitization transformation is an important strategic planning and development trend for Chinese small and medium-sized enterprises (SMEs) in manufacturing to break through the low-end locking of the global value chain and achieve high-...
Highlights- The DEA model develops to evaluate the servitization level of manufacturing SMEs.
- The Malmquist index uses to estimate the manufacturing servitization evolution.
- The positive impact of digitalization on enterprise servitization ...
Digital transformation patterns
PLoP '16: Proceedings of the 23rd Conference on Pattern Languages of ProgramsNowadays "digital" is everywhere and is impacting the society and the economy. To stay competitive in the digital era, companies have to be innovative to adapt to the change that comes along with the proliferation of new technologies. One of the most ...
Comments