SciELO - Scientific Electronic Library Online

 
vol.87 issue212Immobilization of DNA probes on a high frequency piezoelectric biosensorAn optimization model to solve the resource constrained project scheduling problem RCPSP in new product development projects author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


DYNA

Print version ISSN 0012-7353On-line version ISSN 2346-2183

Abstract

DOS SANTOS JESUS, Liandra; LAPASINI LEAL, Gislaine Camila; CARDOZA GALDAMEZ, Edwin Vladimir  and  RODRIGUES LIMA JUNIOR, Francisco. Decision-making support for truck selection: a systematic review. Dyna rev.fac.nac.minas [online]. 2020, vol.87, n.212, pp.169-178. ISSN 0012-7353.  https://doi.org/10.15446/dyna.v87n212.83668.

Trucks are used by many industries in different sectors as industrial equipment. For that reason, selecting a truck without considering the best attributes for the company could cause further problems. Therefore, this paper presents a systematic review of studies that approach quantitative and qualitative decision-making methods and attributes that assist precise data collection. Thus, a framework was created to describe the factors and characteristics of studies, such as application types, hybrid models, sources and data validation. As a result, 11 articles were selected out of 893, all published in English. By analyzing the selected papers, we found applications of several multicriteria methods and a quality management tool to support decision-making. In addition, all the criteria, sub-criteria and attributes adopted by all the 11 studies were summarized and classified within 12 factors in order to simplify them.

Keywords : truck selection; multicriteria decision; systematic review; qualitative and quantitative methods.

        · abstract in Spanish     · text in English     · English ( pdf )