Decision-making and performance measurement models with applications to robot selection

摘要: Abstract Many advanced manufacturers use robots extensively to perform repetitious, difficult, and hazardous tasks with precision. Robots improve quality productivity dramatically if deployed properly. The process of selecting the most suitable robot among many alternatives involves robots' performance in a number key areas. Various quantitative methods have been proposed as an aid selection decision on choice robots. This paper demonstrates compares some current multi-attribute decision-making (MADM) measurement through problem borrowed from Khouja (Khouja M. data envelopment analysis for technology selection. Comput Ind Eng 1995;28:123–132). Particular emphasis is placed procedure called operational competitiveness rating (OCRA) MADM tool technique order preference by similarity ideal solution (TOPSIS). A rank-correlation test shows that considered produce similar rankings final made basis obtained averaging results OCRA, TOPSIS, utility model.