CM Solutions is a dynamic metallurgical laboratory and consultancy that partners with its clients to maximize their operations from test work to design.
Founded in 2002 by internationally renowned metallurgist, Dr Frank Crundwell, CM Solutions has fostered successful relationships with all of South Africa’s top mining houses and engineering firms.
CM Solutions has been awarded ISO 9001:14001 status for establishing and maintaining an international quality management system for its metallurgical laboratories.
The CM Solutions mission: Maximizing Metallurgy
The CM Solutions team offers a versatile, tailor-made service that is cost-effective, strategic and delivered on spec and on time. We have done this in markets as diverse as copper, nickel, zinc, cobalt, PGMs, gold and lead.
The CM Solutions approach: Theory of Constraints
CM Solutions uses a formal methodology that follows the scientific/engineering approach embodied by the Theory of Constraints (TOC). In essence this provides a framework that enables us to reach solutions to assignments in a consistent, reliable manner. The improvement process is a crucial part of this system which ensures three fundamental aspects are answered for clients: what to change? what to change to? how to cause the change?
The CM Solutions advantage: Partnership
- Partners with clients to meet clients’ individual needs
- In-depth specialised analysis of metallurgical processes
- One point of contact from testwork to process design
- Customised tools, such as Cycad Process, for process development
- Diverse hands-on team of metallurgical engineers
- In-house laboratory for process development
The CM Solutions offering: Test work to design
The CM Solutions team can assist in all areas of process engineering, metallurgical test work and financial analysis. Whether you need a concept, prefeasibility or feasibility study we can assist in one or all aspects of developing and optimizing design. To date we have done work in the fields of due diligence; techno-economic studies; flowsheet design; process modelling and simulation; mass and energy balances; plant optimisation and HAZOP studies.