Date of Award
12-9-2009
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Department of Systems Engineering and Management
First Advisor
John M. Colombi, PhD
Abstract
The systems engineering technical processes are not sufficiently supported by methods and tools that quantitatively integrate human considerations into early system design. Because of this, engineers must often rely on qualitative judgments or delay critical decisions until late in the system lifecycle. Studies reveal that this is likely to result in cost, schedule, and performance consequences. This dissertation presents a methodology to improve the application of systems engineering technical processes for design. This methodology is mathematically rigorous, is grounded in relevant theory, and applies extant human subjects data to critical systems development challenges. The methodology is expressed in four methods that support early systems engineering activities: a requirements elicitation method, a function allocation method, an input device design method, and a display layout design method. These form a coherent approach to early system development. Each method is separately discussed and demonstrated using a prototypical system development program. In total, this original and significant work has a broad range of systems engineer applicability to improve the engineering of human systems integration.
AFIT Designator
AFIT-DS-ENV-09-D01
DTIC Accession Number
ADA511419
Recommended Citation
Hardman, Nicholas S., "An Empirical Methodology for Engineering Human Systems Integration" (2009). Theses and Dissertations. 2102.
https://scholar.afit.edu/etd/2102