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Posted: Sun Dec 22, 2024 9:14 am
Ensuring the reliability, efficiency and safety of material assets
A successful equipment optimization strategy starts with monitoring equipment performance. Using saudi arabia email list historical and real-time data, as well as advanced digital tools, teams can quickly identify performance issues and prioritize maintenance to maximize machine reliability, availability, and lifecycle, as well as determine whether they need to be repaired or replaced. Operators can then determine the optimal values to improve efficiency, optimize the value chain, meet government regulations, and achieve environmental, social, and corporate governance (ESG) goals. By taking a proactive approach to maintenance and repair decisions, equipment can be rebuilt at optimal times while ensuring safe and efficient operations.
In addition, mining companies use a significant amount of natural resources in their daily operations. Many deposits require repair and modernization. To minimize risks and ensure the sustainable operation of physical assets, companies must use digital tools to conduct predictive analytics. This allows for timely identification of problems and the implementation of measures to maintain assets in working order.
Artificial intelligence technologies are actively used for the same purpose at Russian industrial enterprises. Severstal, for example, has a platform called “Steel View”, which records violations of technology and monitors the presence of personnel at workplaces. And at NMLK, a digital service helps to accurately dose ferroalloys during steel smelting. Read about how else the giants of Russian industry use AI in our article on PROMBIM .
to reduce maintenance costs and improve the reliability of physical assets to reduce downtime and increase productivity. To do this, the company implemented an interface that allowed data to be shared between teams and added several predictive analytics and machine learning tools to its arsenal. By giving users access to the information they needed to make informed decisions, the company saved a total of $88 million across its facilities, increased asset reliability by 6%, and reduced unplanned maintenance costs by 10%.
Principle #4: Optimize the value chain and increase productivity
Mining companies face price volatility and supply chain management challenges. Using data management tools and strategies, mining managers will be able to implement management practices at short intervals across the value chain. With more accurate operational data and model-driven workflows, companies will be able to improve product quality, reduce waste, increase energy efficiency, and provide the flexibility needed to respond to changes in supply and demand.
Centralized data management also enables companies to optimize the planning process, capitalize on spot market prices and improve forecasts for ore supplies from the mine to processing plants, ensuring maximum raw material recovery.
MMG Limited implemented a production management system to standardize asset utilization across five mines worldwide. This initiative helped MMG achieve more efficient equipment utilization, conduct root cause analysis of underperforming assets, and integrate with other systems to provide single sign-on (SSO). Overall, the global operations platform helped MMG improve productivity and efficiency, simplify root cause analysis, and increase asset utilization across all sites by at least 10%.
A successful equipment optimization strategy starts with monitoring equipment performance. Using saudi arabia email list historical and real-time data, as well as advanced digital tools, teams can quickly identify performance issues and prioritize maintenance to maximize machine reliability, availability, and lifecycle, as well as determine whether they need to be repaired or replaced. Operators can then determine the optimal values to improve efficiency, optimize the value chain, meet government regulations, and achieve environmental, social, and corporate governance (ESG) goals. By taking a proactive approach to maintenance and repair decisions, equipment can be rebuilt at optimal times while ensuring safe and efficient operations.
In addition, mining companies use a significant amount of natural resources in their daily operations. Many deposits require repair and modernization. To minimize risks and ensure the sustainable operation of physical assets, companies must use digital tools to conduct predictive analytics. This allows for timely identification of problems and the implementation of measures to maintain assets in working order.
Artificial intelligence technologies are actively used for the same purpose at Russian industrial enterprises. Severstal, for example, has a platform called “Steel View”, which records violations of technology and monitors the presence of personnel at workplaces. And at NMLK, a digital service helps to accurately dose ferroalloys during steel smelting. Read about how else the giants of Russian industry use AI in our article on PROMBIM .
to reduce maintenance costs and improve the reliability of physical assets to reduce downtime and increase productivity. To do this, the company implemented an interface that allowed data to be shared between teams and added several predictive analytics and machine learning tools to its arsenal. By giving users access to the information they needed to make informed decisions, the company saved a total of $88 million across its facilities, increased asset reliability by 6%, and reduced unplanned maintenance costs by 10%.
Principle #4: Optimize the value chain and increase productivity
Mining companies face price volatility and supply chain management challenges. Using data management tools and strategies, mining managers will be able to implement management practices at short intervals across the value chain. With more accurate operational data and model-driven workflows, companies will be able to improve product quality, reduce waste, increase energy efficiency, and provide the flexibility needed to respond to changes in supply and demand.
Centralized data management also enables companies to optimize the planning process, capitalize on spot market prices and improve forecasts for ore supplies from the mine to processing plants, ensuring maximum raw material recovery.
MMG Limited implemented a production management system to standardize asset utilization across five mines worldwide. This initiative helped MMG achieve more efficient equipment utilization, conduct root cause analysis of underperforming assets, and integrate with other systems to provide single sign-on (SSO). Overall, the global operations platform helped MMG improve productivity and efficiency, simplify root cause analysis, and increase asset utilization across all sites by at least 10%.