00000nam 2200000zi 4500 9.881363 CaOODSP 20240219183524 m o d f cr cn||||||||| 191030t20102010quca ob f000 0 eng d CaOODSP eng rda CaOODSP eng eng fre n-cn--- D68-4/517-2010E-PDF Boukhtouta, Abdeslem, 1966- author. Optimal decisions for Canadian military airlift problem / Abdeslem Boukhtouta, Jean Berger (DRDC Valcartier) ; Warren B. Powell, Belgacem Bouziane-Ayari (Princeton University). Quebec (Quebec) : Defence Research and Development Canada - Valcartier, 2010. ©2010 1 online resource (x, 54 pages, 2 unnumbered pages) : illustrations (chiefly colour). text txt rdacontent computer c rdamedia online resource cr rdacarrier Technical report ; DRDC Valcartier TR 2010-517 "September 2010." Includes bibliographical references (pages 51-53). "A modeling and algorithmic framework for analyzing and simulating the military airlift is presented in this report. Central to the framework is the modeling of the flow of information and decisions. A series of models demonstrating how different levels of information can be represented when making a decision are presented. These information sets are simulated to demonstrate their impact on costs and throughput. A detailed comparison of classical optimization and the current framework is presented. Using historical data for the airlifts conducted by the Canadian Air Force, a series of simulations were conducted to test the effect of uncertainty in customer demands as well as aircraft failures. It is demonstrated in this report that this effect is reduced when adaptive learning is used in the simulation process. There are a number of sources of randomness that arise in military airlift operations: random demands, aircraft failures, weather delays, etc. The cost of uncertainty can be difficult to estimate because it is difficult to give the mathematical expression of this cost. However, it is easy to overestimate this cost if we use simplistic decision rules. The military airlift problem, considered in this report, is modeled as a dynamic program, and solved using approximate dynamic programming. The experiments show that even approximate solutions produce decisions that substantially reduce the effect of uncertainty"--Abstract, page i. Includes abstracts and summaries in English and French. gccst Military aviation gccst Decision making gccst Models Defence R&D Canada. Defence R&D Canada - Valcartier. Technical report (Defence R&D Canada) DRDC Valcartier TR 2010-517. (CaOODSP)9.820558 PDF 1.95 MB https://publications.gc.ca/collections/collection_2019/rddc-drdc/D68-4-517-2010-eng.pdf