SELECTION OF TECHNOLOGICAL VEHICLES TO THE GEOLOGICAL AND MINING CONDITIONS WITH AN APPLICATION OF STOCHASTIC GROUP DECISION AIDING METHOD

1 SAWICKA Hanna
Co-authors:
2 BODZIONY Przemysław 1 SAWICKI Piotr
Institutions:
1 Poznan University of Technology, Division of Transport Systems, Poznań, Poland, hanna.sawicka@put.poznan.pl; piotr.sawicki@put.poznan.pl
2 AGH University of Science and Technology, Surface Mining Department, Kraków, Poland, przembo@agh.edu.pl
Conference:
Carpathian Logistics Congress, Hotel Tatra, Zakopane, Poland, EU, November 28th - 30th 2016
Proceedings:
Proceedings Carpathian Logistics Congress
Pages:
178-184
ISBN:
978-80-87294-76-5
ISSN:
2694-9318
Published:
30th October 2017
Proceedings of the conference were published in Web of Science.
Metrics:
507 views / 171 downloads
Abstract

This paper deals with the selection of technological vehicles to the specific mining and geological conditions in open cast surface mining. The problem is formulated as a multiple criteria ranking of variants, which are different types of technological vehicles. They are evaluated by the family of ten criteria according to several aspects, including: economy, technology and construction, exploitation and reliability. Vehicle selection is carried out by the group of decision makers involved in the decision process. They are professionals with different expertise profiles. The solution of the problem is performed with an application of stochastic group decision aiding method proposed by the authors. This approach is composed of five phases, i.e.: 1) analysis of the decision situation, 2) construction of variants, and definition of the set of criteria, 3) evaluation of variants, 4) preference modeling and computations, 5) construction of the stochastic ranking. The obtained results are compared with the previous research on selection of technological vehicles based on separate individual preferences of each expert.

Keywords: Vehicle selection, surface mining, haul trucks, multiple criteria decision aiding, group of experts

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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