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

Volume

2

fYear

1998

fDate

4-9 May 1998

Firstpage

1048

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.686263

Filename

686263