Abstract
This paper focuses on sustainable planning of a mining supply chain network from mining sites to demand centers. In the network, wind and solar generators can be installed in mining sites to attain low carbon mining operations. The uncertainty related to the renewable energy resources is taken into account, and to find an effective and reliable planning strategy, we present a novel cost-efficient multi-stage stochastic program in which strategic and tactical planning decisions are integrated. In the stochastic model, beside the economic goal, the greenhouse gas emissions from transportation through the network are mitigated and the social impact of the supply chain is considered using a social life cycle assessment methodology. A real case study in Iran related to the production of zinc concentrates from mines is implemented to demonstrate the applicability of the proposed optimization model in evaluating the economic objective, the sustainability issues, and the infrastructure needs for the renewable energy integration. Furthermore, a sensitivity analysis on main parameters of the problem is performed to drive some managerial insights that help decision makers in sustainable planning of mining supply chains.
| Original language | English |
|---|---|
| Article number | 101296 |
| Number of pages | 13 |
| Journal | Resources Policy |
| Early online date | 11 Dec 2018 |
| Publication status | E-pub ahead of print - 11 Dec 2018 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
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SDG 17 Partnerships for the Goals
Keywords
- Onsite renewable generation
- Multi-stage stochastic programming
- Sustainable development
- Mining supply chain
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