Ordering hosting services for websites using the Superiority and Inferiority Ranking Method

Abstract

With the advent of the coronavirus pandemic (COVID-19), in 2020, the sectors of consumer goods and services in Brazil sought to meet the growing demand in a virtual way, where e-commerce, in the country, grew 47%, the biggest increase in 20 years. The purpose of this article is to select the best website hosting service company, among several alternatives and criteria, since, there are a wide variety of companies in this segment, making the selection become complex when without the aid of a method of decision making. A hybrid method to support multicriteria decision was used, the Simple Aggregation of Preferences Expressed by Ordinal Vectors –Multi Decision Makers (SAPEVO-M) and the Superiority and Inferiority Ranking (SIR), where SAPEVO-M assists in the determination of the weight vector and the SIR assists in ordering the alternatives. The alternatives and criteria were selected for the relevance and importance, respectively, for the authors. The solution found was satisfactory, for the most preferred company, LocaWeb, has the highest value of the preference criterion, Storage, however, there is a great disparity between the best and the worst alternative.

Keywords: Production engineering. Decision support system. Operational Research.