AI applications have penetrated various sectors, including palm oil mills or CPO mills. AI applications for palm oil mills are still relatively new, so few, if any, have implemented them. One palm oil mill that has implemented AI is Minsawi Industries in Kuala Kangsar, Malaysia, with a capacity of 45 tons of fresh fruit bunches (FFB) per hour. The use of AI has resulted in annual savings of RM 1.6 million (Rp 6.24 billion) due to reduced oil loss, reduced maintenance costs, and a 33% reduction in labor. However, there are concerns that using AI for palm oil mills could potentially lead to job losses. Even with fewer workers, incomes are higher.
The cost-to-benefit ratio is certainly a crucial consideration for any new technology, including the use of AI. The amount of money spent must yield equivalent or greater benefits. In the case of the AI application in the palm oil mill, the cost of the AI was RM 5 million (~Rp 19.5 billion), meaning that with savings of RM 1.6 million per year, the investment in the AI equipment would be recovered in approximately three years. This is a reasonable return on investment. However, investing that much to improve efficiency in an existing mill, or for example, 15% of the main mill, requires comprehensive consideration.
Several devices, such as sensors, predictive tools, and AI applications, are integrated to improve the efficiency of palm oil (CPO) production. More specifically, the key components of an AI-based palm oil mill include: first, advanced sensors. These sensors are installed throughout the palm oil mill to obtain real-time data on critical parameters such as temperature, pressure, amperage, and machine performance. Second, AI-enabled CCTV cameras. Several cameras are installed at strategic locations to monitor key areas, such as detecting the volume of fresh fruit bunches (FFB) and their quality, and providing this information to control the production process. Third, an AI-driven control system. These systems automatically optimize processes, manage equipment operations, and utilize resources based on real-time data analysis.
Meanwhile, developing new products means increasing the added value of existing materials. This increased added value can be far greater than that gained from increasing factory efficiency through AI applications. Raw materials that were previously underutilized or even discarded, polluting the environment, can generate significant benefits from developing new products. While optimizing factory performance is crucial for achieving high efficiency, innovation in new product development is equally crucial.
In the palm oil industry, new product development can be achieved by creating various derivatives from crude palm oil (CPO) and processing various biomass waste from palm oil operations, both from mills and plantations. Numerous products can be produced from these processes. For example, CPO derivatives produce biofuels such as biodiesel, cooking oil, stearin, olein, and so on. Biomass waste can be processed into bioenergy, biocarbons, biofuels, biomaterials, and biochemicals.
Designing efficient production processes is crucial for producing competitive products. Likewise, low-emission production, minimizing waste, or even zero waste, is also a key focus. Integrating various production processes, particularly for energy savings, including waste heat recovery, is highly feasible, enabling efficiency and lower production costs. The significant benefits of AI applications in palm oil mills or CPO production include the potential for further use in new product development, including designing the most efficient production processes possible.
Ultimately, if the development of these new products can be carried out and AI is integrated, the need for labor will increase in these business units, even if each business unit is operating efficiently. The production of various derivative products, including specialty chemicals, is highly possible with the development of new products that keep pace with the times. Furthermore, on the plantation side, AI and mechanization can also be utilized to reduce 3D (dirty, dangerous, demeaning) jobs, resulting in more efficient work and increased income. Even mechanization in oil palm plantations is still low, making it more urgent than AI applications.
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