Recent Applications of the Maximal Covering Location Planning (M.C.L.P.) Model

To enhance the research and application of mathematical programming and any other O.R. methodologies, it is desirable to investigate some ‘general’ models. This is particulary important in the development of decision support systems, where models play a significant role in management support. This study examines several applications of the maximal covering location planning (M.C.L.P.) model. They include data abstraction, statistical classification, cognitive process modelling, etc. In addition to demonstrating the wide applicability of the model, we also address some implementation issues associated with the applications of the M.C.L.P. model.