Predictive Maintenance, Cut Costs & Improve Enterprise Operational Efficiency
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Climate change is one of the global issues today. Indika Energy, as a diversified energy company in Indonesia, also took a role to support the achievement of sustainable development goals (SDGs), targeting the achievement of carbon neutrality by 2050. Various efforts can be made to achieve these goals, one of which is by implementing the right technology so that the business can run more effectively and efficiently.
Technology, used in supporting businesses, has a role to play in achieving those sustainability goals. Because in fact, an efficient business is seen from the fewer carbon footprints it produces.
ZebraX, a subsidiary of Indika Energy, also supports Indika Energy’s program through its digital solutions to help businesses be more productive and ready to compete in today’s digital transformation era. ZebraX’s flagship solutions include Advanced Analytics and IoT.
Several studies were conducted by industry to reduce carbon footprint, including by using synergies from Artificial Intelligence and Internet of Things (IoT) applications, namely by using analytics solutions-predictive maintenance use case.
The fundamental principle used by predictive maintenance is the ability to detect problems before events, to prevent the occurrence of unwanted things. However, industry players must also pay attention to the importance of maintaining consistency in the frequency of maintenance.
This exact frequency of maintenance is very important because it can lead to costs. The frequency that too often can cause maintenance costs to increase, when not necessarily needed. While maintenance that is rarely done can lead to the cost of loss, damage can even cause loss of the company.
Currently what needs to be known by the industry is how to determine when the right time to do maintenance. At this stage, the role of the synergy of Artificial Intelligence and the Internet of Things, through predictive maintenance can be the key to answering the problems faced by the industry.
Benefits of Predictive Maintenance
One of the main benefits that can be obtained if the industry uses predictive maintenance can reduce operational costs or maintenance costs. According to a survey conducted by IBM, predictive maintenance utilization can cut up to 40% of the total cost of maintenance.
In addition, predictive maintenance can also improve the safety of workers, both workers who perform maintenance and workers who operate maintained machinery. Predictive maintenance based on AI can help in empowering human resources more efficiently.
Other benefits of predictive maintenance can also address downtime and maintain uptime.
The Steps of Predictive Maintenance
In applying predictive maintenance, several stages must be done, namely data collection/data procurement, data preparation, feature engineering, training model, prediction, and deployment.
Data is the main element in applying AI. The data will later be implemented into the AI model to then be deployed anywhere or can be said to be flexible. So that later this AI model will be easily integrated with existing systems.
In addition, it is also necessary to detect hidden patterns. By using AI technology, detection can be done automatically and we can gain more insight. Unlike if done manually by humans, it will be difficult to detect data with large and very complex amounts.
And that needs to be underlined, this predictive maintenance process can not be done only once, but must be done continuously because of course we will continue to update the existing AI model, adjusted to the real case that occurs in the field so that the resulting insights will be better.
The application of the right solutions and technologies can also be useful in achieving environmental sustainability to support Indika Energy’s commitment to creating a carbon-neutral in 2050.
30 Days Free Trial of ZebraX Advanced Analytics
ZebraX, a digital transformation company, is ready to help improve the company’s operational efficiency by using advanced analytics — predictive maintenance solutions.
This solution can be implemented in various industrial sectors, including helping the manufacturing sector to predict when the maintenance time of machinery, know the results of production and inventory. In the retail sector, these solutions can read customer behavior.
In the health sector, the solution can support the diagnosis of doctors in hospitals. In the telecommunications and media sectors, the solution can predict customer experience and loyalty.
In the banking and financial sectors, the solution can predict customer behavior and in meeting regulations/compliance.
And right now we’re also offering free trials for companies looking to start their digital transformation journey using Advanced Analytics and also our IoT Platform solutions. For further information about this FREE Trial program, please contact us at inquiry@zebrax.id.
Source:
https://www.ibm.com/services/technology-support/multivendor-it/predictive-maintenance
