Knowledge-based Cabins Crew Pattern Generator

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

3 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)55-63
Journal / PublicationKnowledge-Based Systems
Volume8
Issue number1
Publication statusPublished - Feb 1995

Abstract

The problem of designing cabin crew patterns according to flight schedules is an important aspect of resource management for the airline industries. So far, there have been very few discussions on the detailed design of such systems. The paper describes a knowledge-based approach to the problem and presents the design and implementation issues. A prototype known as the Cabin Crew Pattern Generator has been successfully constructed and validated. A hybrid knowledge representation formalism has been adopted in modelling the system. It is envisaged that minor extensions are needed to the existing prototype to have a fully operational cabin crew planning system.

Research Area(s)

  • cabin crew planning, hybrid knowledge representation

Citation Format(s)

Knowledge-based Cabins Crew Pattern Generator. / Kwok, Lam-For; Hung, Sheung-Lun; Joshua Pun, Chun-Chung.

In: Knowledge-Based Systems, Vol. 8, No. 1, 02.1995, p. 55-63.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review