Original scientific paper

An Aircraft Service Staff Rostering using a Hybrid GRASP Algorithm

Vincent Cho ; Department of Management and Marketing, The Hong Kong Polytechnic University, Hong Kong, China
Gene Pak Kit Wu ; Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China
W.H. Ip ; Department of Industrial and Systems Enginneering, The Hong Kong Polytechnic University, Hong Kong, China

Abstract

The aircraft ground service company is responsible for carrying out the regular tasks to aircraft maintenace between their arrival at and departure from the airport. This paper presents the application of a hybrid approach based upon greedy randomized adaptive search procedure (GRASP) for rostering technical staff such that they are assigned predefined shift patterns. The rostering of staff is posed as an optimization problem with an aim of minimizing the violations of hard and soft constraints. The proposed algorithm iteratively constructs a set of solutions by GRASP. Furthermore, with multi-agent techniques, we efficiently identify an optimal roster with minimal constraint violations and fair to employees. Experimental results are included to demonstrate the effectiveness of the proposed algorithm.

Keywords

Hybrid approach; GRASP; Rostering; Aircraft

Hrčak ID:

66712

URI

https://hrcak.srce.hr/66712

Publication date:

15.9.2009.

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