Ahp is normally done in six steps 1 2 3 4 5 6 describe

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: on problem into one involving a single, measurable objective. One way, but not the only way, of forming the figure of merit for each alternative is to linearly combine its scores computed for each of the objectives—that is, compute a weighted sum of the scores. MSFC-HDBK-1912, Systems Engineering (Volume 2) recommends this selection rule. The weights used in computing the figure of merit can be assigned a priori or determined using Multi Attribute Utility Theory (MAUT). Another technique of forming a figure of merit is the Analytic Hierarachy Process (AHP). Several microcomputer-based commercial software packages are available to automate either MAUT or AHP. If the wrong weights, objectives, or attributes are chosen in either technique, the entire process may obscure the best alternative. Also, with either technique, the individual evaluators may tend to reflect the institutional biases and preferences of their respective organizations. The results, therefore, may depend on the mix of evaluators. (See sidebars on AHP and MAUT.) Another multi-objective selection rule is to choose the alternative with the highest figure of merit from among those that meet specified individual objectives. This selection rule is used extensively by Source Evaluation Boards (SEBs) in the NASA procurement process. Each proposal, from among those meeting specific technical objectives (requirements), is scored on such attributes as technical design, price, systems engineering process quality, etc. In applying this rule, the attributes being scored by the SEB are known to the bidders, but their weighing may not be. (See NHB 5103.6B.) In trade studies where no measure of system effectiveness can be constructed, but performance or technical attributes can be quantified, a possible selection rule is to choose the alternative that minimizes cost for given levels of performance or technical attributes. This rule presupposes that system cost can be unambiguously measured, and is related to the all of the quan...
View Full Document

Ask a homework question - tutors are online