Evaluation of tender solutions for aviation training using discrete event simulation and best performance criteria


Autoria(s): Novak, Ana; Tracey, Luke; Nguyen, Vivian; Johnstone, Michael; Le, Vu; Creighton, Doug
Data(s)

01/01/2015

Resumo

This paper describes a novel discrete event simulation (DES) methodology for the evaluation of aviation training tenders where performance is measured against “best performance” criteria. The objective was to assess and compare multiple aviation training schedules and their resource allocation plans against predetermined training objectives. This research originated from the need to evaluate tender proposals for the Australian Defence Aviation Training School that is currently undergoing aviation training consolidation and helicopter rationalization. We show how DES is an ideal platform for evaluating resource plans and schedules, and discuss metric selection to objectively encapsulate performance and permit an unbiased comparison. DES allows feasibility studies for each tender proposal to assure they satisfy system and policy constraints. Consequently, to create an objective and fair environment to compare tendered solutions, what-if scenarios have been strategically examined to consider improved implementations of the proposed solutions.

Identificador

http://hdl.handle.net/10536/DRO/DU:30082977

Idioma(s)

eng

Publicador

IEEE

Relação

http://dro.deakin.edu.au/eserv/DU:30082977/johnstone-evaluationoftender-2015.pdf

http://dro.deakin.edu.au/eserv/DU:30082977/johnstone-evaluationoftender-evid1-2015.pdf

http://dro.deakin.edu.au/eserv/DU:30082977/johnstone-evaluationoftender-evid2-2015.pdf

http://dx.doi.org/10.1109/WSC.2015.7408375

Direitos

2015, IEEE

Tipo

Conference Paper