Framework of optimal operational indices for the open pit mines production scheduling problems

• Published in: Mining Goes Digital Vol. 3; pp. 402 - 411
• Main Authors: Moghaddam, M.R., Moosavi, E.
• Format: Book Chapter
• Language: English
• Published: CRC Press 2019
• Edition: 1
• Subjects: Production Scheduling Optimization; LR; Minable Ore Reserves; Variogram Range; Production scheduling; Mine Production Scheduling; Open Pit Mine Planning; Cycle Time; Estimate Mineral Resources; Grade Variability; Timeless; Optimal Mine Plan; Short Term Production Scheduling; Gaussian Anamorphosis; Open Pit Mines; Underground Mine Planning; Sequential Gaussian Simulation; Short Term Scheduling Problem; Data-based optimization; Production Scheduling Problem; Pushbacks Design; Block Model; LR Solution; open pit mine; Long Term Production Scheduling; MILP Model; Ultimate Pit Limit
• ISBN: 9780367336042; 0367336049
• DOI: 10.1201/9780429320774-46

Understanding the ways in which production scheduling have been done is critical to analyzing existing production scheduling systems and finding ways to improve them. This paper addresses the problem of developing an optimization structure to aid the operational decision-making of scheduling activities in a real-world mining operation. For this purpose, after a brief description of the problem, there is a brief summary of recent advances in constrained-production scheduling optimization for open pit mines. Our contribution in this paper include proposing a production scheduling framework to optimize some data integration issues according to different planning levels. With the correspondence of a better data-based optimization among production scheduling process, we aim to decline some currently used well-established practices to provide more stable and reliable plans This paper not only reviews the range of concepts and approaches used to improve production scheduling but also demonstrates their timeless importance.