Development of Empirical Costing Models and Project Planning Tools for Mine Development and Services for Underground Mines

This project aims to develop cost estimation models using data analytics and machine learning techniques. In addition, throughout project execution, cost control and monitoring approaches will be further explored. These approaches will benefit from Work breakdown structures (WBS) and Enterprise Resource Planning models (ERP). Finally, the research will focus on developing project planning and management tool based on the Critical Path Method (CPM) and Project Evaluation and Review Technique (PERT). This tool will determine the shortest completion time of an underground mining project, formulated as an optimization problem. The risk associated with the project’s uncertainties will be assessed through a discrete event simulation model. This research will deliver cost optimization and project planning tool for mining contractors.

Faculty Supervisor:

Mustafa Kumral

Student:

Partner:

Dumas Mining

Discipline:

Engineering

Sector:

Mining

University:

McGill University

Program: