Equipment Selection for Mining: With case studies / Выбор оборудования для добычи полезных ископаемых: с примерами из практики

The mining industry contributes significantly to the health of the worlds’ economy. Indeed, the total annual revenue generated by the industry worldwide has exceeded $500 billion US for the past 6 years. Over this time, the net profit margins have decreased from 25% in 2010 to 4% in 2016. The significant global economic uncertainty together with declining trends in average ore grades, declining market prices, increasing mining costs, and the complex regulatory, environmental and safety restrictions in which the industry must operate is contributing to this decline in profitability. Consequently, the economic viability of the modern-day mine is very highly dependent on careful planning and management. This, of course, presents enormous opportunities for the application of cutting-edge optimisation technology. Optimisation techniques have been successfully applied to resolve a number of important problems that arise in the planning and management of large and complex mines. Applications that are well documented include ore-body modelling and ore reserve estimation, optimal pit design, optimal production schedules, optimal blends, effective equipment selection, utilisation and maintenance, efficient mine site rehabilitation and a range of transport and logistics issues. This book focusses on the important truck–loader selection problem. <...>