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Airline network inventory control policy : an application of Markov Decision Processes and Simulation

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Title: Airline network inventory control policy : an application of Markov Decision Processes and Simulation
Author: Biswanger, Kyle Adrian
Degree Master of Science in Business - MScB
Program Business Administration
Copyright Date: 2000
Abstract: In this thesis an airline network inventory control policy is developed. The inventory problem being faced differs from traditional hierarchical inventory problems. In this problem the inventory system is composed of a network of warehouses where demand is observed between warehouses and inventory "consumed" from one warehouse is "provided" to another. The control policy is developed using two modeling techniques: Dynamic Programming and Simulation. Dynamic programming, or Markov Decision Processes, is used to help define a control policy. The limitations imposed by the use of Dynamic Programming are overcome by implementing the results in a Simulation model. The policy resulting from this analysis demonstrates the potential to save $390,000 per year with minimal operational impact to Canadian Airlines International. This represents a 60% reduction in non-service related equipment movements.
URI: http://hdl.handle.net/2429/11220
Series/Report no. UBC Retrospective Theses Digitization Project [http://www.library.ubc.ca/archives/retro_theses/]

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