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Development of rank ordering techniques based on the analytical hierarchy process for evaluation of energy conversion devices
Author(s) -
Girgis A. A.,
Wortman M. A.,
Henry R. Scott
Publication year - 1989
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.4440130304
Subject(s) - analytic hierarchy process , computer science , transformer , software , rank (graph theory) , distribution transformer , production (economics) , energy (signal processing) , selection (genetic algorithm) , industrial engineering , process (computing) , decision support system , reliability engineering , operations research , data mining , engineering , artificial intelligence , electrical engineering , mathematics , statistics , operating system , voltage , combinatorics , economics , macroeconomics , programming language
Both producers and consumers of electric energy have challenging decisions to make. In some cases, these decisions are related to the selection of specific equipment for energy production or energy conversion. The important financial and operational decisions that face these companies merit the use of an analytic approach to decision making. Of special interest is the purchase of high volume equipment used in the daily operation of energy production or conversion. This paper presents a method that utilizes all available information when making a decision, regardless of the size of the problem. The method is based on the analytical hierarchy process (Saaty, 1980). An example is shown demonstrating the selection of one of the most common energy conversion devices, namely a distribution transformer. Distribution transformers are rank ordered according to manufacturers using this decision support technique. Finally, a user friendly software package implementing this method is fully developed on a personal computer.