Improving Project Manager's Resource Planning by Predicting Proposed Rule Submissions
General Material Designation
[Thesis]
First Statement of Responsibility
Moore Parker, Levonia
Subsequent Statement of Responsibility
Fossaceca, John
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
The George Washington University
Date of Publication, Distribution, etc.
2019
GENERAL NOTES
Text of Note
128 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
D.Engr.
Body granting the degree
The George Washington University
Text preceding or following the note
2019
SUMMARY OR ABSTRACT
Text of Note
Project Managers (PMs) have the responsibility to propose a resource management plan that adequately reflects the staff and budget required to complete the adjudication phase of the public comment review process. From prior experience, PMs have found that resource planning is difficult due to the uncertainty in the number of submissions that are received during the public submission cycle of rulemaking. The current resource planning process is based on anecdotal estimates that are derived from prior knowledge of rulemaking and project planning coupled with a judgement of political sensitivity. These heuristic factors are used to forecast the number of submissions. This process introduces a great deal of uncertainty into the estimation process. Adding to this uncertainty is the common use of unskilled and untrained staff utilized to handle short notice demands for resources. This study presents a predictive model to statistically forecast the number of submissions that will be received during the rulemaking process, thereby providing PMs with a more reliable, objective, and parametric estimation tool that can be used for more accurate resource planning for the adjudication of proposed Center of Medicare & Medicaid Services payment regulation public comments.