A new approach for selecting best development face ventilation mode based on G1-coefficient of variation method

Zhi yong Zhou, Mehmet Kizil, Zhong wei Chen, Jian hong Chen

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

The current popular methods for decision making and project optimisation in mine ventilation contain a number of deficiencies as they are solely based on either subjective knowledge or objective information. This paper presents a new approach to rank the alternatives by G1-coefficient of variation method. The focus of this approach is the use of the combination weighing, which is able to compensate for the deficiencies in the method of evaluation index single weighing. In the case study, an appropriate evaluation index system was established to determine the evaluation value of each ventilation mode. Then the proposed approach was used to select the best development face ventilation mode. The result shows that the proposed approach is able to rank the alternative development face ventilation mode reasonably, the combination weighing method had the advantages of both subjective and objective weighing methods in that it took into consideration of both the experience and wisdom of experts, and the new changes in objective conditions. This approach provides a more reasonable and reliable procedure to analyse and evaluate different ventilation modes.

Translated title of the contribution一种基于 G1-变异系数法的井下掘进工作面通风方式优选方法
Original languageEnglish
Pages (from-to)2462-2471
Number of pages10
JournalJournal of Central South University
Volume25
Issue number10
DOIs
StatePublished - 1 Oct 2018
Externally publishedYes

Keywords

  • coefficient of variation method
  • comprehensive evaluation
  • development face ventilation
  • G1 method
  • optimization

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