Software robots can increase the overall effectiveness of a process by performing repetitive tasks like extracting, uploading, validating or formatting data, performing calculations, and so on, with better speed and accuracy in a repeatable way 24x7.
FREMONT, CA: Today's mining operations are 28 percent less productive than they were a decade ago. The mining industry has been looking for ways to increase productivity and efficiency due to declining ore grades, rising costs, a shortage of skilled labor, market volatility, and strict regulatory compliance. The mining sector's business processes cover a wide range of rule-based and knowledge-based repetitive tasks that add no value to the core business or to the end-users who perform them.
Robotic Process Automation (RPA) uses software robots to automate repetitive and non-value-adding tasks. By combining the RPA platform with an AI platform, robots can gradually take on decision automation tasks using cognitive computing and machine learning. A large chunk of this work in the mining industry can be automated using RPA to allow and realize touch-less business processes. Software robots can increase the overall effectiveness of a process by performing repetitive tasks like extracting, uploading, validating or formatting data, performing calculations, and so on, with better speed and accuracy in a repeatable way 24x7.
Things to Consider When Automating a Mining Company
For maximum benefit, the mining industry must identify the key processes and activities that can be brought under the RPA umbrella. Use chatbot for tasks that require a lot of content searching, such as:
• Searching for maintenance procedures, activity guidance, or compatible part numbers to submit a purchase request in equipment manuals.
• While operating equipment and handling hazardous materials, searching for safety procedures and Material Safety Data Sheets (MSDS).
• Searching for location-specific information in travel, leave, contractor, and other HR policies.
Some of the observable benefits of RPA implementation include a 30–80 percent reduction in manual effort, a 50–80 percent reduction in errors, a 25–50 percent increase in productivity, and a 20–50 percent reduction in cycle time. Some companies have created tools that use Artificial Intelligence (AI) to automate complex tasks like blast design and improve its design capabilities (optimized use of explosives, fly rock containment, and rock fragmentation) through a continuous learning model.