A heuristic approach for in-pit crusher and conveyor system’s time and location problem in large open-pit mining
| Autor: | Morteza Osanloo, Morteza Paricheh, Mehdi Rahmanpour |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Engineering Heuristic (computer science) media_common.quotation_subject Reliability (computer networking) 0211 other engineering and technologies Open-pit mining 02 engineering and technology Machine learning computer.software_genre 020501 mining & metallurgy Management of Technology and Innovation Quality (business) Function (engineering) Earth-Surface Processes media_common 021103 operations research business.industry Geology Geotechnical Engineering and Engineering Geology Crusher 0205 materials engineering Discrete time and continuous time Conveyor system Artificial intelligence business computer |
| Zdroj: | International Journal of Mining, Reclamation and Environment. 32:35-55 |
| ISSN: | 1748-0949 1748-0930 |
| Popis: | Cost efficiency and high reliability of In-Pit Crushing and Conveying (IPCC) system make it more appealing to be used in deeper open-pit mining activities. Determination of the optimum time and location (OT–OL) for applying the IPCC system were always a challenge. Application of mathematical programming approaches suffers from reduced computational efficiency due to a lot of decision variables. The situation will be worse; by adding the IPCC’s time and location variables to these models. Also, the problem involves a lot of variables that each one of them is a function of others. To tackle these, this paper provides a new heuristic approach to find a good quality solution hierarchically (here in two levels). The problem was broken into two parts (i.e. OT and OL). The model works in a discrete time horizon. It has been verified by the data gathered from Sungun copper mine of Iran. Our computational results show that the system is efficient for developed countries with a stable and low interest rate. |
| Databáze: | OpenAIRE |
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