An optimal scheduling approach has been developed for coordinating product
delivery activities using fuzzy mathematics. In this approach, optimal deli
very scheduling is carried out at three different levels, for situations in
volving: (I)one driver and one load, (2) one driver and multiple loads, and
(3) multiple drivers and multiple loads. Fuzzy-based clustering methods ar
e employed to classify delivery tasks into driver groups, load groups, and
location groups. The optimal sequence and timing parameters of delivery tas
ks are identified using the fuzzy mathematics based clustering results and
state-space search. The intelligent optimal delivery scheduling system was
implemented using Smalltalk, an object oriented programming language. (C) 2
001 Elsevier Science B.V. All rights reserved.