GBI's suite of services enables mining customers to gain greater productivity across their operations. To increase productivity, mine site managers need accurate and meaningful information to track performance and identify areas for improvement.
GBI collects, processes and analyses data from draglines, trucks, electric rope shovels, front end loaders, hydraulic excavators and backhoes and drills. With the average equipment monitor delivering 15 million pieces of data every year and factors such as operator efficiency and compliance affecting site productivity, GBI delivers services that help mine managers make sense of performance data, improve operator efficiency and retention, and implement more effective operations.
GBI can assist you with:
Data Collection The data GBI collects is sourced from all types of large scale mine site machinery including draglines, trucks, loading units and drills. The makes and models included in the collection are constantly expanding. Data is sourced from a range of different monitor types and manual records.
Benchmarking
GBI's benchmarking provides mines with the ability to identify levels of equipment performance in comparison with the rest of the mining world. Benchmarking studies are particularly useful in mining as they identify strengths and weaknesses relative to each site and assist with identifying areas for business improvement and productivity gains. The links below outline GBI's benchmarking services.
Productivity Reporting
Turning data into useful information can be challenging, depending on the measures and KPIs that mean the most to you. It can be a daunting and time-consuming exercise if you’re not familiar with the value of the outputs and the structure of equipment databases. GBI’s productivity reporting service provides mine managers with consistent, timely reports in formats that can be easily understood by the end user. The reports can be generated for draglines, trucks, electric rope shovels, front end loaders, hydraulic excavators, backhoes and drills. All reports are referenced to 'best practice'.
Troubleshooting - Forensic Analysis of Production Data
In a typical dragline monitor there are over 10,000,000 pieces of data related to production recorded annually. The potential for this data to reveal clues on "what went wrong" in specific situations is enormous. In the vast majority of anomalous situations data will at the very least provide information on what did not contribute to the problem. GBI has compiled a range of case studies that highlight the value of forensic analysis. Operator Selection and Recruitment
GBI has developed unique systems to analyse existing and prospective operators' performance in terms of their psychomotor abilities. This enables the team to predict with considerable certainty an individual's aptitude and level of productiveness as an operator before they ever touch the controls of your equipment.
Dragline Bucket and Rigging Modelling
GBI has developed techniques for using modelling in commercial decision making and has recently been able to relate modelling results to monitoring data. Making the right decision about bucket type and capacity is essential for efficiency and productivity. The wrong decision can cost both time and money. Modelling is an accurate method of optimising dragline buckets and rigging.
The GBI Training Process
Mines want to make improvements and manage change effectively to achieve productivity gains, but few can spare the time of the people to do so. GBI's training programs are proficiency-based and designed to take operators to higher levels of competency and proficiency working with their individual learning pace. Operators only progress to the next stage of training when they demonstrate they have achieved the required standard as measured by testing and performance data. All upcoming training courses are advertised on the GBI calendar.
