EMSE Engineering Management and Systems Engineering

Dr. Johan René van Dorp
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Master's Thesis Abstract of Marc Greenberg (Page 1 of 2):

Simulation-based risk analysis methods for activity networks, developed by the George Washington University’s School of Engineering and Applied Science, was used as the theoretical foundation to estimate and analyze the production schedule uncertainty of a ship designed for both commercial and military use. The primary reason of selecting and using such schedule estimating methods was to quantify the downstream production consequences that a shipyard may experience due to a design and/or process change.

The ship concept evaluated in this study, originating from the US Maritime Administration’s PD-337 design, was designed to serve commercial companies as a containership but easily convert to a roll-on/roll-off ship for Navy use during national emergencies or times of war. Under the Navy’s Mid-Term Strategic Sealift Technology Development Program, excursions of the PD-337 were conducted to evaluate how improving the (1) ship design approach for ship production and (2) how improving producibility can save ship production time and cost.

Two major initiatives that emerged from Sealift studies were the Generic Build Strategy (GBS) and the Engine Room Arrangement Model (ERAM) approach. Several reports and experts associated with the GBS and ERAM initiatives provided substantial data to help build and populate the activity network. This includes engineering judgement on the duration of each activity and measures of duration impacts caused by production-related risks.

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School of Engineering and Applied Science
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Email:  dorpjr@gwu.edu
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