Multi-Level KPIs Prediction using Machine Learning for Mining-Site Production Management and Planning

衡量和改进绩效取决于对关键绩效指标(KPI)的充分选择。大多数工业企业，包括Goldcorp，都依赖各种KPI系统来平衡财务(生产)和非财务(管理和规划)措施，以实现其战略目标。为了开发这样的KPI系统，专家通常使用一系列定量和定性的统计方法对公司的业务目标进行深入评估。后者通常源自大量的组织、运营和商业模式特征。这种方法在预测关键绩效指标方面的局限性是，它们主要取决于分析中使用的数据的质量和数量、使用的统计方法以及进行这种业务分析的人的经验水平。在人工智能进步的今天，依靠大数据分析，机器能够在解决各种识别和预测问题时模仿人类的智能行为。该项目的目的是帮助Goldcorp应用最先进的深度学习算法，以发现关于最佳KPI模式的新见解，从而使公司能够优化其生产和计划，同时优化其资源的使用。该项目的好处是为加拿大采矿业培训高素质的员工，该行业日益需要人工智能和大数据分析方面的高度专业化专业知识来开发智能生产系统。培养本地能力，并接触到精通此类先进IT领域的训练有素的毕业生，是Goldcorp和加拿大采矿业竞争力的主要来源，预计这将有助于创造就业机会。

Measuring and improving performance depends on the adequate selection of Key Performance Indicators (KPIs). Most industrial firms, including Goldcorp rely on various KPI systems for balancing financial (production) and non-financial (management and planning) measures in achieving their strategic goals. In order to develop such KPI systems, experts usually perform in-depth evaluation of the company's business goals using a range of quantitative and qualitative statistical measures. The latter are usually derived from a large number of organizational, operational and business-model features. The limitations of this approach, in predicting KPIs, that they are mainly dependent on the quality and the amount of data used in the analysis, the statistical methods used, and the level of experience of those conducting such business analytics. Today, with the advances in artificial intelligence, machines are capable to imitate intelligent human behavior in solving a variety of recognition and prediction problems relying on big data analytics. The aim of this project is to assist Goldcorp in applying state of the art deep learning algorithms in order to discover new insights about the best KPI pattern, thereby enabling the company to optimize its production and planning, while optimizing the use of its resources. The benefit of this project venture is the training of highly qualified employees for the Canadian mining industry, which increasingly requires highly specialized expertise in Artificial Intelligence and Big Data Analytics to develop intelligent production systems. Building local competencies and having access to well-trained graduates who are proficient in such advanced IT fields is a major source of competitiveness for Goldcorp and Canadian mining industry, and it is expected to contribute to job creation.