Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4678
Title: Telling Time: Getting Relevant Data for Acquisition Schedule Estimating Relationships
Authors: Charles Pickar, Raymond Franck
Keywords: Acquisition Schedule
Defense Acquisition
Root Cause Analysis
Systems Dynamics (SD)
Issue Date: 6-May-2022
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Acquisition Management;SYM-AM-22-164
Abstract: This paper is part of a research agenda outlined in Franck et al. (2016) directed toward improving the realism of defense acquisition schedules. Defense acquisition schedules have long been a difficult problem. In this particular effort, we consider primarily the case of the 737MAX, which has been a fortuitous example of the risks of scheduling-by-fiat. We analyze the 737MAX misadventure using systems dynamics and root cause analysis methods. A fundamental question for defense acquisition schedule estimating is the extent to which schedule drivers vary (or don’t) across various defense acquisition programs. If the programs are, in fact, idiosyncratic in nature, then we have prospects of explaining observed schedules (with program-specific explanatory variables). However, to the extent that common themes drive schedules across whole classes of programs, we have better prospects of predicting expected schedule length. This paper aims to (a) present a useful perspective of this question and (b) offer suggestions for the way forward.
Description: SYM Presentation
URI: https://dair.nps.edu/handle/123456789/4678
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

Files in This Item:
File Description SizeFormat 
SYM-AM-22-164.pdfPresentation832.88 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.