Izvorni znanstveni članak
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
Sažetak
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.
Ključne riječi
Hybrid approach; GRASP; Rostering; Aircraft
Hrčak ID:
66712
URI
Datum izdavanja:
15.9.2009.
Posjeta: 1.551 *