Production scheduling optimisation for sublevel stoping mines using mathematical programming: A review of literature and future directions. (October 2020)

• Record Type: Journal Article
• Authors: Sotoudeh, Farzad; Nehring, Micah; Kizil, Mehmet; Knights, Peter; Mousavi, Amin
• Is Part Of: Resources policy. Volume 68(2020)
• Publication Date: 2020-10
• Subjects: Sublevel stope mining -- Production scheduling -- Optimisation -- Mathematical programming; Mines and mineral resources -- Periodicals; Ressources minérales -- Périodiques; Ressources naturelles -- Gestion -- Périodiques; Environnement -- Politique gouvernementale -- Périodiques; 333.8
• DOI: 10.1016/j.resourpol.2020.101809
• Languages: English
• ISSNs: 0301-4207

Abstract

Abstract: The mining industry continues to face the problem of depleting grades and the subsequent significant variation in economic, environmental and technological characteristics have been observed. This has raised the importance of the production scheduling process due to its significant role in the profitability and efficiency of any mining operation. Among underground mining methods, sublevel stoping are a commonly used method in large-scale mining. It is a versatile and productive method that is primarily used for steeply deeping orebodies with regular shape, defined ore boundaries and competent ore and host rock. The sequence and extraction of stopes is critical in maximizing profitability, which requires careful consideration over the mine life. This is mainly due to geotechnical considerations within stoping envelopes to achieve stable ground conditions through subsequent backfilling. This in turn significantly raises the complexity of the scheduling process. This paper reviews previous studies related to production scheduling optimisation of sublevel stope mines using mathematical programming and recommends suggestions for future works. Highlights: A comprehensive and updated review of production scheduling optimisation in sublevel stoping operations. A precise Analyse and investigation of previous studies; their advantages and drawbacks. Innovations offers for increasing the efficiency of optimisation models and provide promising for future directions.