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Vehicle Scheduling for Emergency Relief Management: A Knowledge‐Based Approach
Author(s) -
KNOTT R. P.
Publication year - 1988
Publication title -
disasters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.744
H-Index - 70
eISSN - 1467-7717
pISSN - 0361-3666
DOI - 10.1111/j.1467-7717.1988.tb00678.x
Subject(s) - scheduling (production processes) , truck , inference , emergency management , emergency relief , operations research , computer science , agency (philosophy) , engineering , transport engineering , operations management , automotive engineering , artificial intelligence , law , political science , philosophy , epistemology
One of the major tasks facing any relief agency is the management of the large scale distribution of food stocks. Such a distribution involves the scheduling of a large number of trucks, arranging fuel distribution, loading arrangements etc. In a previous paper, we suggested a micro‐computer based system for use in the field by emergency relief managers for scheduling this distribution. The system was to be based on a mixture of O.R. and knowledge‐based inference techniques. In this paper we describe the progress so far in implementing this proposed solution.