Selection of industrial robots using the Polygons area method

Selection of robots from the several proposed alternatives is a very important and tedious task. Decision makers are not limited to one method and several methods have been proposed for solving this problem. This study presents Polygons Area Method (PAM) as a multi attribute decision making method f...

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Main Authors: Mortaza Honarmande Azimi, Houshang Taghizadeh, Nasser Fegh-hi Farahmand, Jafar Pourmahmoud
Format: Article
Language:English
Published: Growing Science 2014-08-01
Series:International Journal of Industrial Engineering Computations
Subjects:
WPM
Online Access:http://www.growingscience.com/ijiec/Vol5/IJIEC_2014_17.pdf
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spelling doaj-2f74c07a1c194257a675386523f76dbc2020-11-24T23:10:37ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342014-08-015463164610.5267/j.ijiec.2014.6.001Selection of industrial robots using the Polygons area method Mortaza Honarmande AzimiHoushang TaghizadehNasser Fegh-hi FarahmandJafar PourmahmoudSelection of robots from the several proposed alternatives is a very important and tedious task. Decision makers are not limited to one method and several methods have been proposed for solving this problem. This study presents Polygons Area Method (PAM) as a multi attribute decision making method for robot selection problem. In this method, the maximum polygons area obtained from the attributes of an alternative robot on the radar chart is introduced as a decision-making criterion. The results of this method are compared with other typical multiple attribute decision-making methods (SAW, WPM, TOPSIS, and VIKOR) by giving two examples. To find similarity in ranking given by different methods, Spearman’s rank correlation coefficients are obtained for different pairs of MADM methods. It was observed that the introduced method is in good agreement with other well-known MADM methods in the robot selection problem.http://www.growingscience.com/ijiec/Vol5/IJIEC_2014_17.pdfRobot SelectionMulti-attribute Decision Making (MADM)Polygons Area Method (PAM) SAWTOPSISVIKORWPM
collection DOAJ
language English
format Article
sources DOAJ
author Mortaza Honarmande Azimi
Houshang Taghizadeh
Nasser Fegh-hi Farahmand
Jafar Pourmahmoud
spellingShingle Mortaza Honarmande Azimi
Houshang Taghizadeh
Nasser Fegh-hi Farahmand
Jafar Pourmahmoud
Selection of industrial robots using the Polygons area method
International Journal of Industrial Engineering Computations
Robot Selection
Multi-attribute Decision Making (MADM)
Polygons Area Method (PAM) SAW
TOPSIS
VIKOR
WPM
author_facet Mortaza Honarmande Azimi
Houshang Taghizadeh
Nasser Fegh-hi Farahmand
Jafar Pourmahmoud
author_sort Mortaza Honarmande Azimi
title Selection of industrial robots using the Polygons area method
title_short Selection of industrial robots using the Polygons area method
title_full Selection of industrial robots using the Polygons area method
title_fullStr Selection of industrial robots using the Polygons area method
title_full_unstemmed Selection of industrial robots using the Polygons area method
title_sort selection of industrial robots using the polygons area method
publisher Growing Science
series International Journal of Industrial Engineering Computations
issn 1923-2926
1923-2934
publishDate 2014-08-01
description Selection of robots from the several proposed alternatives is a very important and tedious task. Decision makers are not limited to one method and several methods have been proposed for solving this problem. This study presents Polygons Area Method (PAM) as a multi attribute decision making method for robot selection problem. In this method, the maximum polygons area obtained from the attributes of an alternative robot on the radar chart is introduced as a decision-making criterion. The results of this method are compared with other typical multiple attribute decision-making methods (SAW, WPM, TOPSIS, and VIKOR) by giving two examples. To find similarity in ranking given by different methods, Spearman’s rank correlation coefficients are obtained for different pairs of MADM methods. It was observed that the introduced method is in good agreement with other well-known MADM methods in the robot selection problem.
topic Robot Selection
Multi-attribute Decision Making (MADM)
Polygons Area Method (PAM) SAW
TOPSIS
VIKOR
WPM
url http://www.growingscience.com/ijiec/Vol5/IJIEC_2014_17.pdf
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