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Biography for William Swan Currently the “Cheap” Economist for Boeing Commercial Aircraft. Previous to Boeing, worked at American Airlines in Operations Research and Strategic Planning and United Airlines in Research and Development. Areas of work included Yield Management, Fleet Planning, Aircraft Routing, and Crew Scheduling. Also worked for Hull Trading, a major market maker in stock index options, and on the staff at MIT’s Flight Transportation Lab. Apparently has a hard time holding a steady job. Education: Master’s, Engineer’s Degree, and Ph. D. at MIT. Bachelor of Science in Aeronautical Engineering at Princeton. Likes dogs and dark beer. • Scott Adams
New Perspective on Fleet Planning Prepared for AGIFORS 2002 Symposium October 2002 William M. Swan Chief Economist Boeing Commercial
Review of Fleet Plan Techniques • Put and Take • Push Down • Vest Pocket • Abandon all Hope
Put ‘n Take Fleet Plan Replaces Airplanes in a Schedule ORD DTW SEA 19:65 19:66 19:78 19:79 19:85 19:86 19:89 19:90 20:10 BOS DFW 20:12
Push Down Fleet Plan Reassigns Schedule 3 17 old N110s 20 old N110s 15 New N142s 15 New N142s 10 NEW N220s 25 Medium N240s 18 Medium N240s 7
Review of Fleet Plan Techniques • Put and Take • Push Down • Vest Pocket • Abandon all Hope
Big Markets Do Not Mean Big Airplanes All Airport Pairs under 5000km and over 1000 seats/day
Revenues Track Costs II[30 business + 90 discount, with Spill]
Any Airplane Size Works • Cost and Revenue Lines are the same shape • Profit nearly the same at any size • Possibility of a minimum profitable size • Upper limit at twice that size? • Limit not set by airplane technology • Limit possibly set by market entry, split in ½ • Or does cost curve rise due to ground costs?
This is Speculation, Not Proof • Strong lack of pattern in airplane size as used • Need for model to explain observed behavior • Proposed model explains what we see • Proof by “Occam’s Toothbrush” not convincing
Bonus: An example of business sleaze (Occam’s Toothbrush) Introducing a technique often used in business Proof by Assumptions “Test” What is the most reasonable set of assumptions That fits all known data points And allows our guess to be right?
William Swan: Data Troll Story Teller Economist Chief Economist, Boeing Commercial Airplanes, Marketing