production planning open pit mine

Digital Production Management

Production planning solution for mineral processing, and metals refining operations

Last updated Sep 2026
Mining, mineral processing and metals refining operations must continuously adapt production plans as ore characteristics, process conditions and operational constraints change. Metso Digital Production Management helps operations identify the best production plan in minutes, enabling faster decisions and more consistent achievement of production targets. Applicable across mineral processing, hydrometallurgy and pyrometallurgy, Digital Production Management supports production planning across the full value chain from concentrators and beneficiation plants to hydrometallurgical refineries and pyrometallurgical operations.

Optimize production outcomes with faster, smarter planning

Identify the optimal production strategy faster
Identify the optimal production strategy faster

Transforms production planning from manual scenario evaluation into AI-assisted decision making that identifies the best available plan for the defined production objectives  

Achieve targets more consistently icon
Achieve targets more consistently

Adapt planning recommendations to changing ore, process and operating conditions while balancing throughput, recovery and reliability, energy use and resource constraints.  

Understand impact before acting icon
Understand impact before acting

Quantify operational and economic outcomes before implementing changes, including effects on production, quality, energy reagents, inventories and equipment availability

From Geminex to Metso Digital Production Management
Digital Production Management is Metso's new production management solution that builds on the proven capabilities of Geminex. Existing Geminex functionalities are included in Digital Production Management alongside expanded capabilities for production planning, decision support, and performance optimization. Going forward, these capabilities will be offered as part of Digital Production Management.

Who benefits?

Operations and production managers

Respond faster when operating conditions change and consistently achieve production targets. The solution supports confident decisions by identifying the production plan most likely to achieve the required outcome.

  • Operational decision intelligence​: Provides real-time recommendations on how to run the plant to maximize throughput, recovery, reliability, and sustainability.​
  • Production scenario simulation​: Evaluate "what-if" scenarios and predict the operational impact of production changes before implementation.​

Metallurgists and process engineers

Validate improvement opportunities and compare the expected impact of different operating strategies before recommending a change.

  • Responding to process variables: Simulate process changes, circuit modifications, and operating strategies in a virtual environment before plant implementation.​
  • Modification of plan and operating strategies​: Identify improvement opportunities by combining historical plant data, process models, and simulation results to drive higher recovery and process efficiency.​

Production planners and maintenance teams

  • Optimization of maintenance strategies and schedules
  • Alignment of production objectives with equipment availability and maintenance requirements. This helps identify conflicts, downtime risks and planning opportunities proactively.

 

 

 

Key functionalities

  • AI-assisted production planning: Uses given outcome objectives, operational information, planning data and metallurgical intelligence to calculate the best available production plan.
  • Scenario simulation and what-if analysis: Automatically evaluates and compares alternative production scenarios to support planning recommendation
  • Production target optimization: Identifies plans aligned with site-specific production objectives and operating constraints.
  • Integrated production and maintenance planning: Integrates production schedules, equipment availability and maintenance activities into the same planning context.
  • Operational and business impact evaluation: Helps users understand the expected consequences of a production decision before acting.
  • OEM-agnostic by design: Integrates data from equipment and systems across the plant, regardless of supplier, enabling site-wide production planning and decision support from a single solution.

 

 

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Frequently asked questions

Metso Digital Production Management helps mining, minerals processing, hydrometallurgical and pyrometallurgical operations create, compare and optimize production plans based on targets, operating conditions and process constraints. It connects feed quality, equipment availability, energy use, reagent consumption and inventory positions to achievable production outcomes.

Digital Production Management includes all key Geminex functionalities while extending them into a broader production management solution for minerals processing and metals refining operations. It brings together production planning, decision support, scenario evaluation, simulation, and performance optimization capabilities in a single solution. For existing Geminex customers, Digital Production Management offers continuity with familiar capabilities while providing access to a broader set of production management capabilities.

Ore characteristics, process conditions, equipment availability and operational constraints change frequently. In minerals processing, hydrometallurgical and pyrometallurgical operations, planning complexity can also come from changing ore or concentrate quality, grinding and flotation capacity, reagent availability, energy constraints, leaching or furnace capacity, intermediate inventories and downstream requirements.

Teams therefore need to reassess plans continuously while considering several interdependent production objectives. Evaluating alternatives can take hours, making time the limiting factor in finding the best plan.​

Also, many systems report historical data but do not help users understand what they should do next or what business outcome a decision will produce.​

Metso Digital Production Management is a planning, simulation and decision-support solution for mining, mineral processing and metals refining operations. It helps teams identify the production plan most likely to achieve their objectives and assess the expected impact to production outcome.

It reduces the time required to evaluate alternatives and helps teams production strategy aligned with throughput, recovery, reliability and other site objectives.

Reporting tools show what has happened. Digital Production Management evaluates alternative production strategies and helps users determine what production plan should be followed.

Yes. Users can simulate and compare alternative production scenarios before operational changes are made. For example, users can compare the impact of different feed blends, grinding and flotation strategies, leaching conditions, furnace campaigns, energy constraints, reagent strategies or maintenance windows before committing to an operating plan.

AI is combined with metallurgical intelligence, operational information and planning data to evaluate alternatives and identify plans aligned with site-specific targets and constraints.

The solution is designed to bring production schedules, equipment constraints and maintenance activities into a shared planning context, helping users identify conflicts and optimization opportunities. This is especially relevant for operations where maintenance windows, grinding mills, flotation circuits, leaching circuits, furnace campaigns, tankhouse capacity or other critical equipment directly affect achievable production.

Typical users include operations managers, production managers, planners, metallurgists, process engineers and maintenance teams.

Digital Production Management helps operations move beyond manual scenario building and analysis. Users define production objectives and operating constraints, and the system calculates the production plan most likely to achieve the desired outcome. This enables faster, more confident decisions while reducing the effort required to evaluate alternatives.

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