Insight, analysis, strategy and advanced technology to reduce operating and maintenance costs while enhancing productivity. Potential areas of improvement exist within any facility – DRA Global provides insight, analysis, strategy and advanced technology to help clients make the best operational decisions within specific time and capital constraints.
Contract operations and maintenance is the new paradigm for mineral processing throughout the world as companies look for innovative ways in which to reduce the operating and maintenance costs while enhancing productivity.
Contract operations can significantly reduce up-front costs for equipment, facilities and personnel while minimising ongoing operational costs of process plants, mines and analytical laboratories.
DRA Global provides bespoke services aimed at addressing client specific needs through the deployment of experienced staff, the support of integrated systems and the implementation of comprehensive controls. Over two decades the organisation has developed an impressive track record across base metals, precious metals and bulk commodities.
Seamless operations management requires effective plant design, intelligent engineering and efficient workflow processes. Over the past three decades DRA Global has operated and maintained 46 processing plants and commissioned 62 processing plants.
While DRA Global is acknowledged as leaders in coal, platinum and diamond contract operations, clients increasingly rely on their broader skill-set in a wide range of commodities, across all engineering disciplines and from concept to commissioning.
Regardless of the size or scope of these operations, DRA Global meets the financial and quality goals of contracts while clients gain continuity in production, even in exceptional conditions.
Through a tailored approach, solutions are developed to suit specific needs in specialised engineering services, maintenance, small engineering projects, condition monitoring and mobile field services.
Proven work processes and project execution models are scaled to fit the streamlined execution of projects from as little at $1,000 to over $50m improvement programs.
To achieve and maintain optimal output it is essential that assets are reviewed on an on-going basis. By analysing the overall functionality of a plant and its equipment, clients can be made aware of possible areas of improvement to enhance performance and productivity.
Sound knowledge in lean operations provides a perfect value creation process in the following engineering disciples:
DRA Global developed MOMS (Mine Operations Management System) to provide mining and mineral processing companies with comprehensive operational intelligence.
MOMS is used to maintain better control over the supply chain, improve control and management of process plants and ensure assets are delivering maximum efficiencies. MOMS benefits core business outcomes, including increased productivity and improved return on investment through state-of-the-art technology.
The system produces and delivers accurate data to the right people at the right time, providing the required insight for pro-active decision-making. It enables clients to increase ore throughput while maintaining quality through a powerful combination of financial, distribution, costing, scheduling, maintenance and production tools.
The system is designed to provide an optimal experience to the end-user. MOMS facilitates the effortless management of workflow-driven processes such as procurement, production, budgeting, maintenance and internal cost requisitions.
By creating the reporting and input dimensions and frequencies, MOMS develops accurate costing, at a detailed process level and provides a comprehensive transactional analysis to clients.
Operational readiness promotes optimal transitions from construction to commissioning. DRA Global's early involvement in the project delivers smooth and safe transitions to solid operations and, by reducing operational risks during the commissioning and operation phase, the owner’s team is able to focus on other variables.
