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

Novak, Ana, Tracey, Luke, Nguyen, Vivian, Johnstone, Michael, Le, Vu and Creighton, Doug 2015, Evaluation of tender solutions for aviation training using discrete event simulation and best performance criteria, in WSC2015: Proceedings of the 2015 Winter Simulation Conference, IEEE, Piscataway, N.J., pp. 2680-2691, doi: 10.1109/WSC.2015.7408375.

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Title Evaluation of tender solutions for aviation training using discrete event simulation and best performance criteria
Author(s) Novak, Ana
Tracey, Luke
Nguyen, Vivian
Johnstone, MichaelORCID iD for Johnstone, Michael orcid.org/0000-0002-3005-8911
Le, VuORCID iD for Le, Vu orcid.org/0000-0003-0648-6112
Creighton, DougORCID iD for Creighton, Doug orcid.org/0000-0002-9217-1231
Conference name Winter Simulation Conference (2015: Huntington Beach, Calif.)
Conference location Huntington Beach, Calif.
Conference dates 6-9 Dec. 2015
Title of proceedings WSC2015: Proceedings of the 2015 Winter Simulation Conference
Publication date 2015
Start page 2680
End page 2691
Total pages 12
Publisher IEEE
Place of publication Piscataway, N.J.
Summary 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.
ISBN 9781467397414
Language eng
DOI 10.1109/WSC.2015.7408375
Field of Research 080110 Simulation and Modelling
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082977

Document type: Conference Paper
Collections: Centre for Intelligent Systems Research
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