From mine to client: improving the performance, robustness and resilience of mineral supply chain logistics systems

从矿山到客户：提高矿产供应链物流系统的性能、稳健性和弹性

• 批准号: 577201-2022
• 负责人: Lamghari, AminaA
• 金额: $ 3.28万
• 依托单位: Université du Québec à Trois-Rivières
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=758116
• 关键词: mine; client; improving; performance; robustness

Minerals such as cobalt, copper, lithium, nickel, and zinc are indispensable for the functioning of our technological society and for the green energy transition, essential to the fight against climate change. Therefore, the efficient flow of mineral-rich materials from mines to refined mineral products in the market is a critical issue not only for mining companies but also for the entire global economy and the world's transition to a lower-carbon future. This multidisciplinary research project will explore how digital-intelligence technologies can be leveraged to develop efficient, robust, and resilient logistics solutions that account for the particularities of the mining sector.We focus on ore transportation, one of the most vital concerns in mining operations, and one that presents many challenges. Typically, ore from the mine goes to processing plants, and the refined products are subsequently shipped to customers using some combination of conveyor, truck, rail, and ship transport. This process is affected by several sources of uncertainty, including but not limited to supply, demand, costs, and equipment availability. We aim to develop decision-making tools for the design and planning of ore transportation logistics that explicitly account for the various uncertainties as well as the interactions among the stakeholders, thereby improving performance, robustness, and resilience and proactively managing potential mineral supply chain disruptions. Those tools will be based on optimization, analytics, and information technology.As we are dealing with a context where there are decision makers at different levels and many sources of uncertainty, our results will have implications for other sectors with similar characteristics such as multimodal freight transportation. Our mining-industry focus will yield results that are directly applicable to Quebec's and Canada's mining industries, which in 2020 accounted for 21% of Canada's total merchandise exports and contributed $9 billion to Quebec's gross domestic product (GDP) and $107 billion to Canada's GDP.

钴、铜、锂、镍和锌等矿物对于我们技术社会的运转和绿色能源转型是不可或缺的，而绿色能源转型对于应对气候变化至关重要。因此，富含矿物质的材料从矿山到精炼矿产品在市场上的高效流动不仅对矿业公司，而且对整个全球经济和世界向低碳未来的过渡都是一个关键问题。这个多学科的研究项目将探索如何利用数字智能技术来开发高效、稳健和有弹性的物流解决方案，以应对采矿行业的特殊性。我们专注于矿石运输，这是采矿作业中最关键的问题之一，也是一个面临许多挑战的问题。通常，来自矿山的矿石被送往加工厂，精炼产品随后通过传送带、卡车、铁路和轮船运输的某种组合运往客户。这一过程受到几个不确定因素的影响，包括但不限于供应、需求、成本和设备可用性。我们的目标是开发设计和规划矿石运输物流的决策工具，明确考虑各种不确定性以及利益相关者之间的互动，从而提高绩效、稳健性和弹性，并主动管理潜在的矿产供应链中断。这些工具将基于优化、分析和信息技术。由于我们正在处理的背景是不同级别的决策者和许多不确定性来源，我们的结果将对其他具有类似特征的行业产生影响，如多式联运。我们的采矿业重点将产生直接适用于魁北克和加拿大采矿业的结果，2020年，这两个行业占加拿大商品出口总额的21%，为魁北克国内生产总值(GDP)贡献了90亿美元，为加拿大GDP贡献了1070亿美元。