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1.4.4 Risk/Decision Analysis for Trade Studies
Author(s) -
Buede Dennis M.
Publication year - 1995
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.1995.tb01928.x
Subject(s) - computer science , hierarchy , analogy , process (computing) , decision analysis , iterative and incremental development , engineering design process , influence diagram , key (lock) , decision engineering , systems engineering , management science , decision support system , risk analysis (engineering) , operations research , business decision mapping , software engineering , engineering , artificial intelligence , mathematics , decision tree , mechanical engineering , medicine , linguistics , philosophy , statistics , computer security , economics , market economy , operating system
This paper relates the top‐down, iterative design process of systems engineering to key elements of decision analysis to show how decision analysis concepts can be used to enhance decision making by systems engineers. We begin by reviewing the systems engineering process: requirements, operational concept, system boundaries, and functional, physical and operational architectures. We then discuss requirements as objectives and constraints. Next we introduce the decision analysis concepts of fundamental objectives and the fundamental objectives hierarchy. These ideas are related to the traditional concepts of measures of effectiveness (MOEs) and measures of performance (MOPs). We then describe influence diagrams and show how the choice of operational architectures and the associated requirements allocation can be addressed with influence diagrams. We discuss how the fundamental objectives and objectives hierarchy change as the iterative design process proceeds to greater and greater detail. The analogy is drawn between physical interfaces between components of the design and the requirements allocation decision interface between layers of design detail.