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Hi Sismanity!
Did you know that a single large FMCG factory can produce millions of products every day, from soap and food to household care products?
Interestingly, many of these processes are now controlled not only by humans but also by data, sensors, and digital systems operating in real time. This is what is known as smart manufacturing.
In the Fast Moving Consumer Goods (FMCG) industry, speed and efficiency are crucial. High market demand and rapidly changing consumer trends require companies to be able to produce large quantities without sacrificing quality. To address this challenge, global companies like PT Unilever have begun integrating digital technology and smart manufacturing concepts into their production systems.
As one of the world’s largest FMCG companies, Unilever operates a complex network of factories with a diverse range of products. To maintain production consistency and increase efficiency, the company has begun adopting a smart manufacturing approach by integrating digital technology into the production process.
Technologies such as the Industrial Internet of Things (IIoT), production sensors, and data-driven monitoring systems enable the company to monitor machine conditions and production performance in real time. The resulting data is then analyzed to identify potential problems in the production system, such as decreased machine performance or potential damage that could lead to downtime [1].
This approach enables the implementation of predictive maintenance, a machine maintenance strategy based on predicted machine conditions. With this method, the company can reduce production disruptions while increasing the reliability of its manufacturing system [2].
The digital transformation at Unilever factories does not occur in isolation. The implementation of this technology is combined with lean manufacturing principles, which focus on reducing waste in the production process.
Through a data-driven monitoring system, the company can more accurately identify various forms of waste, such as lead times, overproduction, and product defects. This information is then used to continuously improve the process, resulting in a more efficient and stable production system [3].
The combination of lean manufacturing and digital technology also enables the company to increase transparency in the production process. This allows for faster decision-making based on more accurate data.
From a manufacturing systems perspective, the implementation of smart manufacturing demonstrates the importance of a systems approach in modern production management. Manufacturing systems are no longer viewed as a collection of production machines alone, but rather as an integrated network involving people, technology, information, and operational processes.
Concepts such as Overall Equipment Effectiveness (OEE), bottleneck analysis, and production line optimization are crucial in ensuring optimal manufacturing system performance. With digital technology, system performance analysis can be performed more comprehensively because production data is available in real time [4].
Furthermore, technological developments have enabled the use of digital twins, virtual models of production systems that can be used to simulate and evaluate system changes without disrupting actual production operations. This method is highly useful in improving the efficiency of manufacturing system design [5].
For the Manufacturing Systems Laboratory, case studies of smart manufacturing implementation at companies like Unilever provide a concrete illustration of how production systems theory is applied in industry.
Concepts learned in the laboratory, such as production line design, process efficiency analysis, and manufacturing system optimization, can be directly linked to industrial practice. Furthermore, the development of digital technology in manufacturing also opens up research opportunities in production sensor integration, industrial data analysis, and production system simulation.
By understanding these developments, students not only learn about manufacturing systems theoretically but also see how these concepts are applied in a modern industrial context.
The transformation toward smart manufacturing demonstrates that the future of industry depends not only on production capacity but also on a company’s ability to integrate digital technology and a systems approach into its production process.
Implementation cases at companies like Unilever demonstrate that the combination of lean manufacturing, data analytics, and Industry 4.0 technologies can create more efficient, adaptive, and sustainable production systems. For the field of manufacturing systems, these developments open up significant opportunities for research and innovation in designing future production systems.
[1] Unilever, Digital Transformation in Manufacturing. https://www.unilever.com
[2] Deloitte, Smart Manufacturing and Industry 4.0. https://www2.deloitte.com
[3] McKinsey & Company, Industry 4.0: Reimagining Manufacturing Operations. https://www.mckinsey.com
[4] World Economic Forum, Global Lighthouse Network: Manufacturing Transformation. https://www.weforum.org
[5] K. Zhou, T. Liu, and L. Zhou, “Industry 4.0: Towards Future Industrial Opportunities,” IEEE Access.https://ieeexplore.ieee.org
Author: Mohammad Hilmi Hidayatullah
Editor: Brian Arga Prasidio Putra
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