The use of operational research in mining is illustrated by simple examples of the techniques of simulation, linear programming, theory of sampling, and experimental design.Statistical simulation of the delays in answering telephones was used to compare the efficiency of alarm systems in collieries, and to determine stock control policy for a bin in mucking, filling, and tramming operations. Linear programming was used to help minimize transportation costs between collieries and washeries. The theory of sampling was applied to separate and balance the components of error introduced at the' various stages in the collection and reduction of routine samples of coal, and to the assessment of errors of estimates of grade in orebodies from drill samples. 'l'he principles of experimentaldesign were used to compare wear of different conveyor beltings and costs of battery and diesel locomotives in underground transport.INTRODUCTIONIn operational research some of the procedural techniques and professional attitudes of mind found among scientists and, in particular, mathematicians and statisticians, are applied to operational problems in industry ranging from policy making in the broadest sense to the humblest sampling procedures. These apply in mining equally with other industries.Anyone who reviews a procedure critically and in a systematic way may legitimately claim to be doing operational research. On the other hand, what is found in books on operational research is usually a collection of mathematical and statistical techniques which, though forming only a corner of operational research activity, illustrate the novel approaches to problems which characterize the discipline and which would probably not occur to the un...