# Modeling Productivity Reduction and Fuel Consumption in Open-Pit Mining Trucks by Considering the Temporary Deterioration of Mining Roads through Discrete-Event Simulation

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## Abstract

**:**

## 1. Introduction

## 2. Materials and Methods

Algorithm 1: Pseudo Code.
| |||||

Motor grader process | |||||

1: | $\mathbf{\hspace{1em}\hspace{1em}\hspace{1em}\; If}{\mathit{T}}_{\mathit{c}\mathit{l}}\mathit{F}\mathit{r}\mathit{e}\mathit{c}{\mathit{T}}_{\mathit{t}}$then: | ||||

2: | For i in Starting set: | ||||

3: | Execute Timer(Starting Set[i]): | ||||

4: | For j in Sections: | ||||

5: | ${\mathit{N}}_{\mathit{j}}=\mathbf{0}$ | ||||

6: | $\mathbf{Wait}{\mathit{t}}_{\mathit{m}\mathit{o}\mathit{v}}$ | ||||

7: |
End For | ||||

8: |
End For | ||||

9: |
End if |

## 3. Results

## 4. Conclusions

## Author Contributions

## Funding

## Data Availability Statement

## Conflicts of Interest

## Appendix A

## References

- Thompson, R.J.; Visser, A. Mine haul road maintenance management systems. J. S. Afr. Inst. Min. Metall.
**2003**, 103, 303–312. [Google Scholar] - Tannant, D.; Regensburg, B. Guidelines for Mine Haul Road Design; University of British Columbia Library: Vancouver, BC, Canada, 2001; pp. 23–73. [Google Scholar]
- Alegre, D.; Peroni, R.A. A method to asses haul roads rolling resistance using dispatch system data. Min. Technol.
**2021**, 130, 176–187. [Google Scholar] - Hustralid, W.; Kuchta, M. Open Pit Mine Design, 3rd ed.; CRC Press: Boca Raton, FL, USA, 2013; pp. 902–928. [Google Scholar]
- Soofastaei, A. Intelligence predictive analysis to reduce production cost. Aust. Resour. Invest.
**2017**, 11, 24–25. [Google Scholar] - Thompson, R.J. Mine road design and management in autonomous hauling operations: A research roadmap. In Proceedings of the Future Mining Conference, Sydney, NSW, Australia, 22–23 November 2011. [Google Scholar]
- Marais, W.; Thompson, R.J.; Visser, A.T. Using mine truck on-board data as a decision making tool for mine road maintenance management. In Proceedings of the 7th International Conference on Managing Assts, Calgary, AB, Canada, 23–28 June 2008. [Google Scholar]
- Ince, M. Simulation-based Modelling of the Unpaved Road Deterioration and Maintenance Program in Heavy Construction and Mining Sectors. Master’s Thesis, Lakehead University, Thunder Bay, ON, Canada, 2019. [Google Scholar]
- Law, A.; Kelton, W. Modelling and Analysis, 2nd ed.; McGraw-Hill: New York, NY, USA, 1991; pp. 2–130. [Google Scholar]
- Vagenas, N. Applications of discrete-event simulation in Canadian mining operation in the nineties. Int. J. Surf. Min. Reclam. Environ.
**1999**, 13, 77–78. [Google Scholar] - Manriquez, F.; Morales, N. Discrete event simulation to design open-pit mine production policy in the event of snowfall. Int. J. Min. Reclam. Environ.
**2019**, 33, 572–588. [Google Scholar] [CrossRef] - Soofastaei, A.; Aminossadati, S. Simulation of payload variance effects on truck bunching to minimize energy consumption and greenhouse emissions. In Proceedings of the Coal Operators’ Conference, Wollongong, NSW, Australia, 18–20 February 2019. [Google Scholar]
- An Introduction to Simio for Beginners. Available online: https://www.simio.com/resources/white-papers/Introduction-to-Simio/ (accessed on 21 November 2022).
- Schriber, T.J.; Brunner, D.T. Inside discrete-event simulation software: How ir works and why it matters. In Proceedings of the 2004 Winter Simulation Conference, Washinton, DC, USA, 5–8 December 2004. [Google Scholar]
- Soofastaei, A.; Aminossadati, S. Reducing a fuel consumption of haul trucks in surface mines using artificial intelligence models. In Proceedings of the Coal Operators’ Conference, Wollongong, NSW, Australia, 10–12 February 2016. [Google Scholar]
- Holman, P. Caterpillar haul road design and management. In Haul Road Design; Limon, C., Ed.; Big Iron University: St. Charles, IL, USA, 2006; pp. 84–95. [Google Scholar]
- Heyns, T.; Heyns, P. A method for real-time condition monitoring of haul roads based on Bayesian parameter estimation. J. Terramech.
**2011**, 49, 103–113. [Google Scholar] [CrossRef][Green Version]

**Figure 1.**Conceptual representation of the differentiated deterioration between road segments in an open pit mine.

**Figure 7.**Production expressed in Ton/Hr between a model that does not consider the RR of the road over time (constant RR), and a model that does consider this phenomenon (variable RR).

**Figure 9.**Comparison of fuel consumption level between a simulation model that does not consider road wear (constant RR) and a model that does (variable RR).

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## Share and Cite

**MDPI and ACS Style**

Meneses, D.; Sepúlveda, F.D.
Modeling Productivity Reduction and Fuel Consumption in Open-Pit Mining Trucks by Considering the Temporary Deterioration of Mining Roads through Discrete-Event Simulation. *Mining* **2023**, *3*, 96-105.
https://doi.org/10.3390/mining3010006

**AMA Style**

Meneses D, Sepúlveda FD.
Modeling Productivity Reduction and Fuel Consumption in Open-Pit Mining Trucks by Considering the Temporary Deterioration of Mining Roads through Discrete-Event Simulation. *Mining*. 2023; 3(1):96-105.
https://doi.org/10.3390/mining3010006

**Chicago/Turabian Style**

Meneses, David, and Felipe D. Sepúlveda.
2023. "Modeling Productivity Reduction and Fuel Consumption in Open-Pit Mining Trucks by Considering the Temporary Deterioration of Mining Roads through Discrete-Event Simulation" *Mining* 3, no. 1: 96-105.
https://doi.org/10.3390/mining3010006