Title :
Expert scheduling of petroleum support vessels for offshore applications
Author :
Bogarin, Jose A. ; Ebecken, Nelson F F
Author_Institution :
Fed. Univ. of Rio de Janeiro, Brazil
Abstract :
This paper presents an expert system model designed for wide geographic sparse scheduling applications. Fuzzy logic and knowledge based formalism are combined with classical solving tools (e.g. constraint analysis rules, date propagation and incremental search) in order to reduce the computational cost and enhance the efficiency of the solving procedure. This solving paradigm have been implemented and validated in a “fuzzy knowledge based system for offshore support vessel scheduling” for petroleum industry applications
Keywords :
constraint handling; expert systems; fuzzy logic; petroleum industry; scheduling; search problems; transportation; constraint analysis; date propagation; expert system; fuzzy logic; incremental search; knowledge based system; offshore operations; petroleum industry; petroleum support vessels; scheduling; Expert systems; Fuzzy systems; Job design; Job shop scheduling; Knowledge based systems; Petroleum; Processor scheduling; Scheduling algorithm; Single machine scheduling; Water resources;
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4863-X
DOI :
10.1109/FUZZY.1998.686263
