Recent Applications of the Maximal Covering Location Planning (M.C.L.P.) Model
作者:
HuaChen,
期刊:
Journal of the Operational Research Society
(Taylor Available online 1986)
卷期:
Volume 37,
issue 8
页码: 735-746
ISSN:0160-5682
年代: 1986
DOI:10.1057/jors.1986.134
出版商: Taylor&Francis
关键词: location planning;mathematical programming
数据来源: Taylor
摘要:
AbstractTo 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.
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