Multi-Criteria decision aid methodology applied to highway truck selection at a mining company

Sousa, Wilson Trigueiro de; Souza, Marcone Jamilson Freitas; Cabral, Ivo Eyer; Diniz, Milena Estanislau

doi:10.1590/s0370-44672014000300007

Cited by 7 publications

(3 citation statements)

References 5 publications

(4 reference statements)

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“…The decision-makers focus on the cost or price criterion in any selection problem. In the related literature, some studies considered cost or price in their decision problem (Oztaysi et al, 2021;Mumani and Maghableh, 2021;Roy et al, 2018;Patil et al, 2017;de Sousa Junior et al, 2014). However, when a problem is evaluated within its own framework, the important criteria in other studies may lose their meaning.…”

Section: Table 5 Criteria and Their Explanationsmentioning

confidence: 99%

An Integrated PIPRECIA and COPRAS Method under Fuzzy Environment: A Case of Truck Tractor Selection

Özdağoğlu

Öztaş

Keleş

et al. 2021

Alphanumeric Journal

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Selecting the right truck tractor is critical for logistics companies involved in road freight transportation. Determining the criteria that are effective in the selection of truck tractors and then evaluating the alternatives are the main objectives of this study. In this context, a hybrid Multi-Criteria Decision-Making model composed of Fuzzy PIPRECIA (F-PIPRECIA) and Fuzzy COPRAS (F-COPRAS) methods is proposed to be used in the selection of truck tractors. In the related literature, no studies that applied F-PIPRECIA and F-COPRAS together to determine the best truck tractor have been published yet. In this regard, this study is thought to contribute to the literature in terms of the methods used and the application of truck tractor selection. Moreover, the findings of this study will pave the way for those who conduct academic studies and the authorities of companies involved in road transport in the logistics sector.

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Section: Table 5 Criteria and Their Explanationsmentioning

confidence: 99%

An Integrated PIPRECIA and COPRAS Method under Fuzzy Environment: A Case of Truck Tractor Selection

Özdağoğlu

Öztaş

Keleş

et al. 2021

Alphanumeric Journal

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“…In the scientific field, SLR is characterized by identifying research questions and justifying future studies. Designing a systematic review implies developing a search strategy, taking well-defined steps and establishing exclusion and inclusion criteria for the references [14].…”

Section: Systematic Literature Reviewmentioning

confidence: 99%

Decision-Making Support of Truck Selection: A Systematic Review

Jesus¹,

Leal²,

Galdámez³

et al. 2020

DYNA

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Trucks are attached to many industries in different sectors like an industrial equipment. For this reason, select a truck without consider the best attributes for the company could cause futures problems. Therefore, this article presents a systematic review of studies that approach quantitative and qualitative decision-making support methods and attributes that help on collecting of precision data. Thus, a framework was created to describe the factors and characteristics of studies, like the application types, hybrid models, sources and data validation. As result, 11 articles were selected from 893, published in English. And from the accepted articles valuation, multicriteria methods and a quality tool were found both applicated in decision-making support. Also, all the criteria, sub-criteria and attributes applicated by all the 11 authors in the methods were presented in this article and they were classified in 12 factors to simplify them.

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“…Multi-criteria methods have already been used in surface mining. Examples can be the paper of Zajączkowski et al [14] in which the MCDA method was used to select the method of mechanical rock mining, or the work of Bodziony et al [15,16], in which the MCDA method was used in the problem of the selection of technological dump trucks in surface mines.…”

Section: Rationale Behind the Literature Reviewmentioning

confidence: 99%

Method of Selecting Opening Cut Location Using Multi-Criteria Analysis of Decision Variant Mapping

2020

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The aim of the article is to present a solution to the research problem that addresses the selection of the opening cut location in the surface mining method. Selecting the opening cut location is a strategic mine planning matter and has a key impact on the overall processes occurring during mining operations. This choice is a complex, and at the same time, mathematically ill-defined issue. The selection procedure should take into account many, often opposing, perspectives of the interveners, who represent the criteria laid down by the technical and organisational, economic, as well as social and environmental groups. In order to be able to compare criteria of a different nature, the authors implemented a multi-criteria method as a solution, derived from operational research. The mathematical tool best suited to the characteristics of the issue of selecting the opening cut location is a method from the ELECTRE family, which was used to create the final solution ranking. The main achievement of the method presented is the specification of a complementary group of assessment criteria and the application of a method allowing a solution to be created, which results in the selection of the most favourable decision variant. The developed method supports decision-makers responsible for making investment decisions in the implementation of mining projects.

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Multi-Criteria decision aid methodology applied to highway truck selection at a mining company

Cited by 7 publications

References 5 publications

An Integrated PIPRECIA and COPRAS Method under Fuzzy Environment: A Case of Truck Tractor Selection

An Integrated PIPRECIA and COPRAS Method under Fuzzy Environment: A Case of Truck Tractor Selection

Decision-Making Support of Truck Selection: A Systematic Review

Method of Selecting Opening Cut Location Using Multi-Criteria Analysis of Decision Variant Mapping

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