Demand forecasting for aircraft engine aftermarket
Name
262696020-MIT.pdf
Description
Full printable version
Size
6.04 MB
Format
Adobe PDF
Checksum (MD5)
5f433b491226179ba39ac3458234df22
Author(s)
Ho, Kien K. (Kine Kit)
Advisor(s)
David Simchi-Levi and Roy Welsch.
Date Issued
2008
Publisher
Massachusetts Institute of Technology
Abstract
In 2006, Pratt and Whitney launched the Global Material Solutions business model aiming to supply spare parts to non-OEM engines with minimum 95% on-time delivery and fill-rate. Lacking essential technical knowledge of the target engines, predictability and associated confidence of the parts demands are very limited. This thesis focuses on exploring alternative and innovative approaches to providing more accurate demand forecasts based on limited information. Approaches including application of fundamental sampling theorems, random walk simulations based on Markov Chain simplification, and sensitivity analysis on incremental scrap rates were introduced. A software tool, based on the sensitivity analysis was introduced for all gas path parts. The methodology could potentially be applicable to industries other than Aerospace.
Description
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2008.
Includes bibliographical references.
Subjects
Sloan School of Management.
Civil and Environmental Engineering.
Leaders for Manufacturing Program.
MIT Department
Leaders for Manufacturing Program at MIT
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Sloan School of Management
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