scholarly journals Simultaneous stochastic optimization of production scheduling at Twin Creeks Mining Complex, Nevada

2018 ◽  
Vol 70 (12) ◽  
pp. 48-56 ◽  
Author(s):  
L. Montiel ◽  
R. Dimitrakopoulos
Keyword(s):  
Stochastic Optimization ◽  
Production Scheduling ◽  
Mining Complex

scholarly journals Joint stochastic short-term production scheduling and fleet management optimization for mining complexes

2020 ◽  
Vol 21 (4) ◽  
pp. 1717-1743
Author(s):  
Christian Both ◽  
Roussos Dimitrakopoulos
Keyword(s):  
Stochastic Optimization ◽  
Production Scheduling ◽  
Planning Horizon ◽  
Open Pit ◽  
Open Pit Mining ◽  
Fleet Management ◽  
Production Schedule ◽  
Short Term ◽  
Term Extraction ◽  
Management Optimization

Abstract This article presents a novel stochastic optimization model that simultaneously optimizes the short-term extraction sequence, shovel relocation, scheduling of a heterogeneous hauling fleet, and downstream allocation of extracted materials in open-pit mining complexes. The proposed stochastic optimization formulation considers geological uncertainty in addition to uncertainty related to equipment performances and truck cycle times. The method is applied at a real-world mining complex, stressing the benefits of optimizing the short-term production schedule and fleet management simultaneously. Compared to a conventional two-step approach, where the production schedule is optimized first before optimizing the allocation of the mining fleet, the costs generated by shovel movements are reduced by 56% and lost production due to shovel relocation is cut by 54%. Furthermore, the required number of trucks shows a more balanced profile, reducing total truck operational costs by 3.1% over an annual planning horizon, as well as the required haulage capacity in the most haulage-intense periods by 25%. A metaheuristic solution method is utilized to solve the large optimization problem in a reasonable timespan.

scholarly journals An Application of Simultaneous Stochastic Optimization at a Large Open-Pit Gold Mining Complex under Supply Uncertainty

Minerals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 172
Author(s):  
Mélanie LaRoche-Boisvert ◽  
Roussos Dimitrakopoulos
Keyword(s):  
Stochastic Optimization ◽  
Value Chain ◽  
Gold Mining ◽  
Net Present Value ◽  
Mineral Deposit ◽  
Open Pit ◽  
Supply Uncertainty ◽  
Geological Uncertainty ◽  
Processing Facility ◽  
Mining Complex

The simultaneous stochastic optimization of mining complexes optimizes various components of the related mineral value chain jointly while considering material supply (geological) uncertainty. As a result, the optimization process capitalizes on the synergies between the components of the system while not only quantifying and considering geological uncertainty, but also producing strategic mine plans, maximizing the net present value. This paper presents an application of simultaneous stochastic optimization at a large gold mining complex. The complex contains three open-pit mines, three stockpiles, a waste dump, and a processing facility. Material hardness management is integrated at the processing facility. The case study generated production schedules for each mineral deposit considered, as well as an overall assessment of the project and related forecasts. It resulted in an 18 year life-of-asset and identified the semi-autogenous grinder (SAG) mill as the bottleneck of the operation.

Medium-Term Production Scheduling of the Lumwana Mining Complex

2014 ◽  
Vol 44 (2) ◽  
pp. 176-194 ◽  
Author(s):  
Martin L. Smith ◽  
Stewart J. Wicks
Keyword(s):  
Production Scheduling ◽  
Medium Term ◽  
Mining Complex

Penjadwalan Produksi Menggunakan Metode Simulated Annealing pada Unit Produksi Daun Pintu di PT. ML

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Rosnani Ginting ◽  
Chairul Rahmadsyah Manik
Keyword(s):  
Simulated Annealing ◽  
Problem Solving ◽  
Production Scheduling ◽  
Production Control ◽  
Delivery Time ◽  
Production Schedule ◽  
A Company ◽  
Predetermined Time ◽  
Factory Floor

Penjadwalan merupakan aspek yang sangat penting karena didalamnya terdapat elemen perencanaan dan pengendalian produksi bagi suatu perusahaan yang dapat mengirim barang sesuai dengan waktu yang telah ditentukan, untuk memperoleh waktu total penyelesaian yang minimum. Masalah utama yang dihadapi oleh PT. ML adalah keterlambatan penyelesaian order yang mempengaruhi delivery time ke tangan costumer karena pelaksanaan penjadwalan produksi dilantai pabrik belum menghasilkan makespan yang sesuai dengan order yang ada. Oleh kaena itu dituntut untuk mencari solusi pemecahan masalah optimal dalam penentuan jadwal produksi untuk meminimisasi total waktu penyelessaian (makespan) semua order. Dalam penelitian ini, penjadwalan menggunakan metode Simulated Annealing (SA) diharapkan dapat menghasilkan waktu total penyelesaian lebih cepat dari penjadwalan yang ada pada perusahaan.   Scheduling is a very important aspect because in it there are elements of planning and production control for a company that can send goods in accordance with a predetermined time, to obtain a minimum total time of completion. The main problem faced by PT. ML is the delay in completing orders that affect delivery time to customer because the implementation of production scheduling on the factory floor has not produced the makespan that matches the existing order. Therefore, it is required to find optimal problem solving solutions in determining the production schedule to minimize the total time of elimination (makespan) of all orders. In this study, scheduling using the Simulated Annealing (SA) method is expected to produce a total time of completion faster than the existing scheduling in the company.

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