Abstract
This paper presents a MILP model to solve truck dispatching problem in surface mines. As testing a new technology in mining operation is expensive, simulation is used as a tool to evaluate effects of new technologies in the surface mining operations. However, two significant drawbacks exist in currently available simulation models. The available models ignore the existence of decision-making tools such as mining fleet management systems in mining operations. Also, the available simulation models disregard impacts of processing plants on the mining operation. To test our MILP model, this paper presents an intelligent simulation and optimization framework to mimic the surface mining operations. The given framework covers the drawbacks mentioned above. We implemented the framework in a surface mine case study to compare performance of our MILP model with its in place truck dispatching model. Results of the comparison show more than 10% improvement in production of the case study.
Original language | English |
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Title of host publication | Mining Goes Digital - Proceedings of the 39th international symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM 2019 |
Editors | Christoph Mueller, Winfred Assibey-Bonsu, Ernest Baafi, Christoph Dauber, Chris Doran, Marek Jerzy Jaszczuk, Oleg Nagovitsyn |
Pages | 393-401 |
Number of pages | 9 |
DOIs | |
State | Published - 2019 |
Event | 39th International symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM 2019 - Wrocław, Poland Duration: Jun 4 2019 → Jun 6 2019 |
Publication series
Name | Mining Goes Digital - Proceedings of the 39th international symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM 2019 |
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Conference
Conference | 39th International symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM 2019 |
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Country/Territory | Poland |
City | Wrocław |
Period | 6/4/19 → 6/6/19 |
Bibliographical note
Publisher Copyright:© 2019 Taylor & Francis Group, London.
ASJC Scopus subject areas
- Geochemistry and Petrology
- Computer Science Applications