Optimising a Mineral Supply Chain under Uncertainty with Long-term Sales Contracts

- Organization:
- The Australasian Institute of Mining and Metallurgy
- Pages:
- 7
- File Size:
- 1057 KB
- Publication Date:
- Nov 24, 2014
Abstract
A two-stage stochastic mixed integer non-linear program is formulated for a mining complex to optimise strategic and tactical plans. The objective is to find the near optimal decisions for a mineral supply chain in the context with uncertainties in both ore supply and the commodity market (price and demand). The endogenous spot price in the commodity market and long-term sales contracts are considered in the formulation of the mining complex’s optimisation model and an ad hoc heuristic is developed to deal with the throughput – and head-grade-dependent recovery rate in processing plants. Numerical results indicate that the proposed heuristic is effective and efficient in numerical tests. Based on the proposed model and heuristic, a long-term contract design strategy is proposed for making decisions on the contract price and strategic investments. A shadow price based method is also proposed to evaluate the existing mining schedule.CITATION:Zhang, J and Dimitrakopoulos, R, 2014. Optimising a mineral supply chain under uncertainty with long-term sales contracts, in Proceedings Orebody Modelling and Strategic Mine Planning Symposium 2014 , pp 25–32 (The Australasian Institute of Mining and Metallurgy: Melbourne).
Citation
APA:
(2014) Optimising a Mineral Supply Chain under Uncertainty with Long-term Sales ContractsMLA: Optimising a Mineral Supply Chain under Uncertainty with Long-term Sales Contracts. The Australasian Institute of Mining and Metallurgy, 2014.