Premium
PAYLOAD COST MINIMIZATION USING SEAT
Author(s) -
Autio Gordon W.
Publication year - 1994
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.1994.tb01744.x
Subject(s) - payload (computing) , minification , computer science , parametric statistics , quality function deployment , function (biology) , software deployment , process (computing) , reliability engineering , cost estimate , cost driver , real time computing , simulation , systems engineering , engineering , value engineering , software engineering , mathematics , operations management , computer network , statistics , evolutionary biology , network packet , biology , programming language , operating system , marketing , business
This paper discusses the application of a methodology to arrive at a minimum cost solution to a given set of systems requirements for any electro‐optical (E‐O) payload. The Systems Engineering Analysis Tool (SEAT) is a powerful tool for the parametric analysis and cost‐effective design of E‐0 payloads. Cost estimating relationships (CERs) as a function of cost driving parameters for each subsystem along with design/performance parameters are input as analytical expressions into an existing tool called Multisensor Analysis Tool to perform the payload cost minimization. The quality function deployment (QFD) matrix or house of quality is used as an aid in deriving the system cost drivers. Various parametric trades and graphic plots in both 3‐D and 2‐D that show relative payload cost and signal‐to‐noise ratio (SNR) performance are presented. The goal is to integrate the disciplines of systems engineering and cost estimating into a cohesive, interactive process early in the system life cycle.