4.7 Article

Smart mining policy: Integrating fuzzy-VIKOR technique and the Z-number concept to implement industry 4.0 strategies in mining engineering

Journal

RESOURCES POLICY
Volume 77, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.resourpol.2022.102768

Keywords

Mining engineering; Industry 4; 0; Smart mining; F-VIKOR; Z-number

Ask authors/readers for more resources

New technologies have a significant impact on the efficiency and productivity of the mining industry. This research proposes a framework for assessing and prioritizing smart mining strategies by integrating the Z-number theory and fuzzy-VIKOR technique. The results show that the third strategy (A3) is the most appropriate for implementing Industry 4.0 technologies in large-scale mines in Iran.
New technologies have significant effects on increasing efficiency and improving the productivity of industries, especially the mining industry. Nevertheless, selecting and applying new technologies is a multi-criteria decision making issue. As mines constitute an important part of a country's economy with a considerable impact on socioeconomic development, mining smartening should be carried out to increase efficiency. This research proposes a novel framework for assessing and prioritizing smart mining strategies by integrating the Z-number theory and fuzzy-VIKOR technique. Eight copies of a questionnaire containing five strategies (alternatives) and 11 criteria were presented to an eight-member team of experts. The strategies comprised A1 provision of government incentives to mines to use up-to-date technologies, A2 development of mining cooperation with research centers and R&D to develop new technologies required by mines, A3 investment of mine owners in providing the required infrastructure, A4 development of green mining and safe operations, and A5 training and improving active human resources. Moreover, the criteria consisted of C1 employment, C2 energy consumption, C3 hazards, C4 trained human resources, C5 marketing and sales, C6 environment, C7 risk, C8 culture, C9 technology, C10 quality of mineral products, and C11 legislations. Furthermore, a parametric sensitivity analysis was performed to determine the effectiveness and robustness of the five suggested strategies. The results of the proposed hybrid model confirm that the third strategy (A3) is the most appropriate alternative for implementing Industry 4.0 technologies in the large-scale mines of Iran. The results revealed that the presented approach provided a stationary ranking mechanism for smart mining engineering strategies and that the weight of the maximum group utility measure did not substantially affect ranking strategies. An expert group confirmed the obtained results and the evaluation and validation made of the influential factors and conditions of the study area.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available