Maturity Curve of Systems Engineering

Abstract

Systems Engineering is a profession, a philosophy, and a discipline that adopts an iterative and parallel problem identification and solution-seeking process, coupled with a collaborative and integrated multi-disciplinary approach. It involves the life-cycle view of deriving functional solutions to the identified problems of the whole system and its dependents. The end-state is in the satisfaction of the requirements, timeline, and budget by the stakeholders. Systems Engineering requires the systems engineer to possess a series of traits that are academically and experientially acquired. This thesis examines capturing these required traits via fuzzy logic scales and learning curves. A qualitative approach was used to acquire and manage the data used for this analysis; a quantitative tool was used to examine and evaluate the data. The qualitative approach was intended to sort the acquired traits of a systems engineer relative to two variables: years of experience and annual income. Quantifying the systems engineering traits challenged the traditional means of analysis due to their overlap and underlap in defining properties. Therefore, a fuzzy logic approach was used to understand the relative quantization of these traits.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2008
Accession Number
ADA493919

Entities

People

  • Roy Alphonso De Souza

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Business Administration
  • Control Systems
  • Databases
  • Employment
  • Engineering
  • Engineers
  • Functional Analysis
  • Fuzzy Logic
  • Fuzzy Sets
  • Human Factors Engineering
  • Human Systems Integration
  • Information Science
  • Literature Surveys
  • Risk Analysis
  • Systems Engineering
  • Test And Evaluation

Readers

  • Artificial Intelligence
  • Software Engineering.
  • Systems Analysis and Design