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    Developing a framework for statistical process control approaches in project management

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    Publication type
    Journal article with impact factor
    Author
    Colin, Jeroen
    Vanhoucke, Mario
    Publication Year
    2015
    Journal
    International Journal of Project Management
    Publication Volume
    33
    Publication Issue
    6
    Publication Begin page
    1289
    Publication End page
    1300
    
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    Abstract
    Different statistical process control (SPC) approaches were proposed over the years for project management using earned value management/earned schedule. A detailed examination of these approaches has led us to express a need for a unified framework in which to test and compare them. The main drivers for this need were the lack of a formal definition for a state of control, the unavailability of a benchmark dataset, the absence of measures to quantify the SPC performance and the lack of consensus on how to overcome and test the normality assumption. In this paper, we present such a framework that combines a classification from empirical data, a known project dataset, a sound simulation model and two quantitative measures for project control efficiency. Four SPC approaches from prior literature have been implemented and an exhaustive experiment was set up to compare and to discuss their value for the project management practice.
    Keyword
    Control Charts, Project Management, Earned Value Management/Earned Schedule, Evaluation Framework, Simulation
    Knowledge Domain/Industry
    Operations & Supply Chain Management
    DOI
    10.1016/j.ijproman.2015.03.014
    URI
    http://hdl.handle.net/20.500.12127/5202
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.ijproman.2015.03.014
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