Engineering Management Framework in Support of Modeling & Simulation Application for Domain Specific Procurement
Date of Award
Master of Science (MS)
Engineering Management & Systems Engineering
Robert H. Kewley
Call Number for Print
Special Collections LD4331.E555 L58 2008
A strategic process is desirable for project-based organizations in order for them to be efficient and effective when developing Modeling & Simulation (M&S) systems. This thesis proposes an overarching process that combines traditional M&S and Engineering Management methodologies in a new framework to support M&S organizations during the procurement process.
This thesis proposes both a Strategic Project Management Process (SPMP) and a systems engineering process for M&S federation development projects. The systems engineering process utilizes the artifacts of Model Driven Architecture (MDA) to support building M&S federations driven by operational requirements. Detailed research of this systems engineering process revealed a project specific SPMP that offers organizations a management tool for M&S federation acquisitions and supports a better understanding of the task(s). The SPMP is based on engineering management core processes of strategic management and knowledge management and is designed to support the operation of a M&S organization.
The thesis also contains an empirical study of a U.S. Army procurement project that federated two heterogeneous simulation models to solve a complex problem. The goal of this study was motivated by the need to support the project management with a consistent view of the sponsor's challenges in compliance with relevant processes.
The theme of this thesis is a process for project-based organizations to utilize as a best practice enabling them to increase their productivity and overall effectiveness when developing M&S federations during procurement.
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Litwin, Thomas G..
"Engineering Management Framework in Support of Modeling & Simulation Application for Domain Specific Procurement"
(2008). Master of Science (MS), Thesis, Engineering Management & Systems Engineering, Old Dominion University, DOI: 10.25777/ar2b-gk48