Open-pit block sequencing optimization: A mathematical model and solution technique. Issue 11 (1st November 2016)

• Record Type: Journal Article
• Authors: Mousavi, Amin; Kozan, Erhan; Liu, Shi Qiang
• Is Part Of: Engineering optimization. Volume 48:Issue 11(2016)
• Page Start: 1932
• Page End: 1950
• Publication Date: 2016-11-01
• Subjects: mine optimization -- block sequencing -- hybrid heuristic -- simulated annealing; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2016.1142080
• Languages: English
• ISSNs: 0305-215X

Abstract

Abstract : This study presents a comprehensive mathematical formulation model for a short-term open-pit mine block sequencing problem, which considers nearly all relevant technical aspects in open-pit mining. The proposed model aims to obtain the optimum extraction sequences of the original-size (smallest) blocks over short time intervals and in the presence of real-life constraints, including precedence relationship, machine capacity, grade requirements, processing demands and stockpile management. A hybrid branch-and-bound and simulated annealing algorithm is developed to solve the problem. Computational experiments show that the proposed methodology is a promising way to provide quantitative recommendations for mine planning and scheduling engineers.