Commercial and Defence Data Analysis: A Pilot Study on Performance-Based Logistics
The Challenge: Understanding the factors that drive aircraft availability for managing performance-based logistics (PBL) contracts at AeroInfo Systems.
Value Delivered: The COE undertook a two-part project in which Operations Research methods were explored as a means to support AeroInfo’s objectives of developing its technical/analytical competencies in the arena of PBL. The results of the first part demonstrate how data mining techniques and regression analysis can be applied to a commercial airline data set in order to anticipate deviations from the Official Airline Guide. The second part of the project focused on pulling PBL type insight from a maintenance database for a fleet of military aircraft currently in service.
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Reducing surgical ward congestion through improved surgical scheduling and uncapacitated simulation porter system
(Production and Operations Management, May-June 2011)
High surgical bed occupancy levels often result in heightened staff stress, frequent surgical cancellations and long surgical wait times. This congestion is in part attributable to surgical scheduling practices, which often focus on the efficient use of operating rooms but ignore resulting downstream bed utilization. This paper describes a transparent and portable approach to improve scheduling practices, which combines a Monte Carlo simulation model and a mixed integer programming (MIP) model.
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