Enterprise-wide risk management of mining operations in a value chain environment

价值链环境中采矿作业的企业范围风险管理

• 批准号: 435661-2013
• 负责人: Kumral, Mustafa
• 金额: $ 1.53万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636527
• 关键词: Enterprise; wide; risk; management; mining

The major assets of mining companies are mineral deposits, which are typically erratic in shape and content, consequently also erratic in supply of raw materials and economic value. In addition, mining companies closely monitor a diverse group of indicators such as price mechanism, production value chain including sequential processes, geopolitical stability, legislation trends, and sustainable development in the context of profitability, human and environment interaction. The above are all-in factors that put a specific emphasis on risks associated with mining operations/investments. Financial and technical analysis of mining enterprises has over past few decades further evolved to respond to new driving forces such as globalization, industry deregulation, increasing complexity of financial instruments related to mining products, restructuring, and advancements from extraction and computing technologies. The proposed research program described herein focuses on (i) developing new simulation frameworks associated with mining operational and financial risks; (ii) formulating and solving financial risk optimization problems through stochastic mathematical programming approaches; (iii) producing protection approaches against catastrophic financial, environmental or operational events; (iv) modeling a mining asset portfolio/value chain through continuous and discrete event simulation (v) managing trade-off between maximizing project value based on available information and spending resources to have more information to improve decision making processes. New modeling, simulation and optimization methods will be developed to achieve the research aims relating to operation and business risks. The proposed research will have impacts on: (a) investment strategy and operation analysis that manages risks in a realistic way; (b) advancing risk management through diversifying, hedging, quantifying and mitigating; (c) applicable risk-based decision-making practices such that mining enterprises perform more effectively and (d) development of new mine project valuation approaches.

矿业公司的主要资产是矿藏，通常在形状和内容上不稳定，因此原材料和经济价值的供应也不稳定。此外，采矿公司在盈利能力，人类和环境互动的背景下，密切监视了各种指标，例如价格机制，生产价值链，包括顺序流程，地缘政治稳定性，立法趋势和可持续发展。以上是全面的因素，这些因素特别强调与采矿业务/投资相关的风险。在过去的几十年中，对采矿企业的财务和技术分析已进一步发展，以应对全球化，行业放松管制，增加与采矿产品相关的金融工具，重组以及提取和计算技术的进步的复杂性。本文所述的拟议研究计划重点是（i）开发与采矿业务和财务风险相关的新模拟框架； （ii）通过随机数学编程方法制定和解决财务风险优化问题； （iii）制定保护灾难性财务，环境或运营事件的保护方法； （iv）通过连续和离散的事件模拟（V）在基于可用信息和花费资源最大化项目价值之间进行权衡的折衷来对矿业资产组合/价值链进行建模，以改善决策过程。将开发新的建模，仿真和优化方法，以实现与运营和业务风险有关的研究目的。拟议的研究将对：（a）以现实方式管理风险的投资策略和运营分析； （b）通过多元化，对冲，量化和缓解风险管理； （c）基于风险的决策实践，即采矿企业的表现更有效，以及（d）开发新的矿山项目评估方法。