A new model for automated pushback selection. (March 2020)

• Record Type: Journal Article
• Authors: Jélvez, Enrique; Morales, Nelson; Askari-Nasab, Hooman
• Is Part Of: Computers & operations research. Volume 115(2020)
• Publication Date: 2020-03
• Subjects: Long-term open-pit mine planning -- Nested pits -- Pushback selection -- Mixed integer programming; Operations research -- Periodicals; Electronic digital computers -- Periodicals; 004.05
• DOI: 10.1016/j.cor.2018.04.015
• Languages: English
• ISSNs: 0305-0548

Abstract

Highlights: We present innovative automated pushback selection model. We obtain optimal solutions, applying well-defined ned criteria to pushback selection task. The procedure is completely automated and a promising tool for large-size problems. Abstract: The design of pushbacks is essential to long-term open pit mine scheduling because it partitions the pit space into individual units, controlling ore and waste production. In this paper, a new model is proposed for the pushback selection procedure, which consists of characterizing the potential pushbacks based on the comprehensive family of nested pits and selecting those ones that meet a set of criteria, for instance, bounded ore and waste. An advantage of this method is the possibility to automate the pushback selection methodology, applying well-defined criteria for the selection and reducing the time employed in the planning task.