There are potentially thousands of alternative options in most real-world planning and management decision problems. Various mathematical programming techniques from the field of operations research are available to help identify better (or best) candidates from a large set. Optimisation approaches can be viewed as providing the analytical machinery to assist in the generation and analysis of ‘target-seeking’ or ‘backcasting’ scenarios. Linear programming employs algorithms designed to optimise an objective function under specified constraints.