Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleYalnız künye2020Bottleneck identification and ranking model for mine operations
Kahraman, M. Mustafa; Rogers, W. Pratt; Dessureault, Sean
Mining has a long history of production and operations management. Considering the increasing complexity of reserves, declining metal grades, and worldwide price volatilities, mines have to operate more efficiently than ever. In recent years, companies have been adopting innovative solutions and technologies to reduce costs and remain competitive in the global market. Specifically, management of bottlenecks has been in the focus of the manufacturing industry for decades now. The mining industry has made significant advancements in process improvement tools using equipment, human, and asset tracking capabilities. However, to date, there is no holistic approach or system to identify and manage the bottleneck in the entire value chain of mining. This research proposes a new method to identify and rank the bottlenecks in a mine value chain. The method is applied in a coal mine and the results are presented in the case study.
- MakaleAçık Erişim2019Formal Assessment and Measurement of Data Utilization and Value for Mines
Rogers, W. Pratt; Kahraman, M. Mustafa; Dessureault, Sean
Most contemporary mines have considerable amounts of data. Structured and unstructured large data sets are colloquially named big data. Much of the data in mining operations come from a variety of systems, each with different databases and reporting environments. Standard technology deployments create a “silo-ification” of data leading to poor system benefit. Through modern server monitoring and systematic approach, data utilization and value can quantifiably be measured. The Data Utilization and Value Index (DUVI) can quantify business intelligence best practices and user interaction. This study seeks to provide a data management tool to measure data utilization across the process of converting data into action.
- MakaleYalnız künye2019Exploring the value of using data: a case study of continuous improvement through data warehousing
Rogers, W. Pratt; Kahraman, M. Mustafa; Dessureault, Sean
The mining industry is adapting data-rich technology. Data management processes and infrastructure require additional investment which, can be difficult to justify. A valuation model for data management infrastructure would necessitate modelling the ‘use’ of data and quantifying the value and the likelihood of success of improvement initiatives. A model is presented which can assess the impacts of a data-driven initiative. The initiatives are shown to be the foundation of improved shift coordination resulting in significant and sustained operational improvements. This paper aims to illustrate the value of using data from source systems in mining operations.
- MakaleYalnız künye2018Increasing adherence to mine plan through data integration and process change
Kahraman, Muhammet Mustafa; Dessureault, Sean
This paper focuses on the development of a decision support element to control real-time adherence to mine plan within a control room environment. This system, known as a mine planning screen (MPL), integrates mine planning and production processes. The key inputs are production data tracked by the fleet management system and mine plans entered by mine planners into spreadsheets. The data are integrated with the use of database query languages and MPL charts are displayed in a web environment. The MPL screen displays two types of information: real-time adherence to plan by pit and historical adherence by crews. The objective of the screen is to increase adherence to the overall plan, a key part of a larger real-time blending initiative. This research discusses the technical development of the new tool, its deployment and peer pressure technique for user motivation.