MineTwin is advanced mining simulation, planning and decision-support software designed for open-pit and underground mining operations. It enables mining companies, engineers and consultants to build realistic digital twins of mines, simulate operational processes and evaluate proposed changes before committing equipment, capital or production resources.
The software combines discrete-event simulation, scheduling and optimization to represent the complex relationships between mine layouts, production targets, equipment fleets, haulage networks, material flows, maintenance schedules and operational constraints. Users can test multiple what-if scenarios, compare alternative plans and identify the option most likely to achieve production, cost and utilization objectives.
MineTwin supports analysis such as fleet sizing, equipment allocation, production scheduling, bottleneck identification, haulage analysis, mine expansion planning, equipment replacement, infrastructure evaluation and assessment of new operating technologies. Interactive 2D and 3D visualizations make it easier to understand how equipment moves through the mine, where delays occur and how operational decisions affect overall performance.
MineTwin also supports importing mine layouts and operational information from external systems using common engineering and data formats.
The application is available for Windows and macOS and runs primarily on the userโs local computer, allowing sensitive mine scenarios to be stored and analysed locally. Optional server-based simulation can be used for computationally intensive studies.
MineTwin helps mining teams replace assumptions with evidence, reveal operational constraints, reduce planning risk and make more confident decisions. By testing proposed improvements in a virtual mining environment, organizations can improve resource allocation, strengthen production plans and pursue better operational and financial outcomes without disrupting the real mine.
A startup from Dubai, the United Arab Emirates that is founded by Dr Andrey Malykhanov, Dr Vitaliy Chernenko.
Real-time Monitoring
Digital twin platforms like MineTwin typically enable real-time visualization and monitoring of mining operations, allowing stakeholders to track equipment, processes, and site conditions remotely.
Predictive Maintenance
By simulating equipment and infrastructure digitally, such platforms can help predict failures before they occur, potentially reducing downtime and maintenance costs.
Improved Safety
Digital twin technology can help identify hazardous conditions in mining environments virtually, allowing operators to plan safer workflows without exposing workers to unnecessary risks.
Data-Driven Decision Making
Consolidating operational data into a single digital model can support better analytics and more informed decision-making for mine planning and resource management.
Operational Efficiency
Simulating and optimizing processes virtually before implementation can lead to more efficient use of resources, equipment, and labor in mining operations.
MineTwin combines detailed mining simulation with practical planning and optimization in one configurable platform. It brings together discrete-event simulation, linear programming and combinatorial optimization to create realistic digital twins of open-pit and underground mines. Rather than modelling haulage alone, MineTwin can represent the broader mining cycle: including drilling, charging, blasting, loading, hauling, crushing, hoisting, equipment interactions, queues and supporting activities. This enables teams to understand how constraints and decisions in one part of the mine affect the entire operation. Its fast simulation, interactive 2D and 3D visualization, scenario comparison and transparent reporting help users turn complex operational data into clear, defensible decisions.
MineTwin is designed for mining companies, engineering and consulting firms, and technical teams responsible for planning and improving open-pit or underground operations. Its primary users include mine planners, mining engineers, operations managers, technical services teams, simulation specialists, fleet and equipment analysts, continuous-improvement teams and consultants. It is valuable for organizations evaluating new mines or expansions, validating operational and medium-term plans, optimizing equipment fleets, identifying bottlenecks or assessing new technologies. MineTwin can support a once-off strategic study or become an ongoing decision-support capability used regularly by an internal planning or simulation team.
MineTwin is purpose-built for mining and reflects the operational complexity that spreadsheets, static schedules and general-purpose planning tools often cannot capture. Users can test fleet configurations, production plans, infrastructure changes and new technologies in a risk-free virtual environment before committing capital or disrupting the real operation. MineTwin models variability, equipment interactions, congestion, delays and resource competition to provide a more realistic view of what a plan can achieve. It is also configurable, supports both open-pit and underground operations, imports common mining and engineering data formats, and produces detailed, explainable results. Its local desktop operation gives customers control over sensitive data, while optional server-based simulation supports larger studies.
MineTwin grew out of Amalgama Software Designโs experience developing simulation models and scheduling systems for complex industrial operations. Through mining consulting projects, the team saw that conventional spreadsheets and static planning tools could not adequately represent the variability, equipment interactions and interconnected constraints found in real mines. Creating a completely new simulation model for every study was also slow and difficult to maintain. Amalgama therefore developed MineTwin as a reusable, configurable product built specifically for mining. The first public MineTwin OpenPit version was released in 2021, and the platform has since expanded to support underground mining, planning, scenario analysis and cloud-assisted simulation. MineTwin continues to evolve through real mining projects and feedback from engineers, planners and consultants.
MineTwin is built in Java using Amalgamaโs proprietary simulation platform and libraries. Its desktop application architecture uses JavaFX and the Eclipse Rich Client Platform to provide interactive editors, dashboards, charts and 2D and 3D visualizations. The analytical foundation combines discrete-event simulation, linear programming, combinatorial optimization, Monte Carlo experimentation and advanced graph-theory algorithms. These technologies enable MineTwin to model mine networks, equipment movements, operational variability and complex scheduling decisions while maintaining fast simulation performance. The platform also supports Excel-based data management, engineering-file imports, detailed reporting and optional server-based simulation for larger computational studies.
Many MineTwin projects involve commercially sensitive mine plans and operating data. For this reason, several major mining customers are presented anonymously in public case studies, including a leading global nickel and palladium producer, a major South African open-cast coal operation, a North American underground mine and a prominent underground fluorite operation in the Americas.
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Check the traffic stats of MineTwin on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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