Improving Project Manager's Resource Planning by Predicting Proposed Rule Submissions

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" Improving Project Manager's Resource Planning by Predicting Proposed Rule Submissions "
Moore Parker, Levonia Fossaceca, John

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	1050989
Doc. No	:	TL50106
Main Entry	:	Moore Parker, Levonia
Title & Author	:	Improving Project Manager's Resource Planning by Predicting Proposed Rule Submissions\ Moore Parker, LevoniaFossaceca, John
College	:	The George Washington University
Date	:	2019
Degree	:	D.Engr.
student score	:	2019
Note	:	128 p.
Abstract	:	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.
Descriptor	:	Engineering
	:	Management
	:	Systems science
Added Entry	:	Fossaceca, John
Added Entry	:	The George Washington University