01Operational inefficiency
Complex production processes can lead to inefficiencies such as production bottlenecks, underused assets, idle capacity and suboptimal allocation of resources.
Enterprise digital twin
A corporate analytics and planning system for greater resilience, efficiency and profitability of the enterprise
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An enterprise digital twin is
A tool for analysis and planning, decision support, optimization of production processes and improved profitability.
We offer a comprehensive solution for market monitoring, demand forecasting, and production and financial planning.
We bring together all your analytical materials, business metrics and local analysis tools into a single shared corporate IT system with the highest quality standards and a rich set of capabilities.
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Our approach accounts for the external context and for production optimization to drive growth and reduce risks. Our production model takes market and process analysis into account to increase revenue and resilience.
We model production as a multi-flow, dynamic model that reflects the specifics of the production process and brings it together into a single corporate analytics system with different access levels for accounts, logging and versioning, as well as clear visual support for all business processes.
Using a digital twin of the production process, we can identify bottlenecks and assess the impact of management decisions.
Our tool accounts for capacity shortages and accounts receivable, as well as the life cycle and production cycle of the enterprise.
We model production as a multi-flow, dynamic model that reflects the specifics of the production process and brings it together into a single corporate analytics system with different access levels for accounts, logging and versioning, as well as clear visual support for all business processes.
Using a digital twin of the production process, we can identify bottlenecks and assess the impact of management decisions.
Our tool accounts for capacity shortages and accounts receivable, as well as the life cycle and production cycle of the enterprise.
Challenges
01
02Downtime and maintenance costs
Unplanned downtime and high maintenance costs disrupt production schedules and impact profit.
03Complex supply-chain management
Industrial companies often face complex supply chains, which makes it harder to maintain optimal inventory levels, ensure timely deliveries and respond to market fluctuations.
04Quality control and variability
Maintaining consistent product quality across different production cycles can be a challenging task.
05Decision-making complexity
High-stakes decisions require accurate data and thorough analysis.
06Market volatility and demand forecasting
Fluctuations in market demand can lead to overproduction or shortages.
We build solutions
For modeling complex socio-economic and industrial systems and infrastructure objects
Who benefits?
Energy sector
Aimed at optimizing operations, forecasting maintenance needs for critical equipment and ensuring efficient energy distribution.
Oil and gas industry
Optimizing and improving drilling operations, oil refining, supply-chain logistics and predictive equipment maintenance.
Utilities
Optimizing resource allocation, infrastructure maintenance management and forecasting of demand fluctuations.
Mining and metallurgy
Monitoring complex production processes supports equipment health control and optimization of the extraction process.
Industrial engineering consultants
Process optimization, demand forecasting and risk management. We help reduce costs and improve efficiency.
Capabilities
A manager wants the business to run like a finely tuned machine. Our product helps you achieve that goal, ensuring the reliability and integrity of your enterprise through a systematic approach.
01 Market monitoring and forecasting
Forecasting demand, supply and product prices optimizes production planning and resource allocation, ensuring sustainable growth aligned with market requirements.
02 Asset portfolio management
A flow-based financial model improves asset organization, reduces risks and maximizes profit, providing valuable insights for making informed investment decisions and effective trading strategies.
03 Production optimization
Identifying and eliminating bottlenecks and suboptimal chains makes it possible to improve the quality of the finished product and minimize total production costs.
04 Risk management
A comprehensive model that covers both production operations and the market context improves the decision-making process, reduces potential losses and helps prevent a slowdown in production growth.
05 Improving maintenance efficiency
Monitoring the integrity of pipelines, logistics and production systems to minimize repairs and incidents, thereby reducing operating costs and risks.
Want to learn more?
Please get in touch with us or fill out the form on our website, and we will arrange a free consultation on your tasks.
We will be glad to help you improve the efficiency of your business.
Let's take the first step toward your success together.
info@dtwin.ru
+7 963 245 42 60Mathematical models for solving problems
Mathematical models are tools that help us understand and solve problems across a wide range of fields. They can be built from a combination of physical principles and mathematical equations, as well as research findings in areas such as economics or energy.
Advanced methods such as neural networks and deep learning are also used to find the most effective solutions to complex problems.
Market models
Market models are based on a factor analysis of relationships that makes it possible to assess the dynamics of supply and demand. They make cost forecasting easier and allow production volumes to be adjusted, taking into account the enterprise's processes and capacity, and to build a sales and supply plan. The model addresses the task of monitoring and scenario-modeling the development of markets for finished products, raw materials, materials and labor.
The model also makes it possible to effectively assess the payback and adoption of technology replacements in the production cycle. This allows enterprises to adapt to unpredictable market changes while remaining competitive.
The model also makes it possible to effectively assess the payback and adoption of technology replacements in the production cycle. This allows enterprises to adapt to unpredictable market changes while remaining competitive.
Optimizer
1. BUILDING PRODUCTION CHAINS
Production chains are obtained from the customer and enriched with actual data at various levels. From these, balance matrices over time are built for each individual chain and for the entire production as a whole, broken down by product
2. DEFINING THE OBJECTIVE FUNCTION
By defining the desired product mix and cost structure, a balance model can be built that helps assess the final resources and balance the production functions. This also makes it possible to determine the equilibrium price and the expected margin of the products based on the price and demand forecast.
3. IDENTIFYING CONSTRAINTS
To optimize the plans, it is necessary to identify the constraints that may affect the production process and its result. Structural and process diagrams help account for capacity constraints and determine the cost of each finished product. The equations of the balance model provide a wide range of constraints
4. OPTIMIZING THE PLANS
A CPLEX-like solver, enhanced by the Digital Twin team with a warm start and pre-computed coefficients, is used for optimization. Balance tables make it possible to reduce the calculations to fast matrix multiplication. The balance model helps assess the resources available for producing the finished product across all chains, which improves the accuracy of the production function. The constraints created within the balance model reduce the search space for the solution.
Production chains are obtained from the customer and enriched with actual data at various levels. From these, balance matrices over time are built for each individual chain and for the entire production as a whole, broken down by product
2. DEFINING THE OBJECTIVE FUNCTION
By defining the desired product mix and cost structure, a balance model can be built that helps assess the final resources and balance the production functions. This also makes it possible to determine the equilibrium price and the expected margin of the products based on the price and demand forecast.
3. IDENTIFYING CONSTRAINTS
To optimize the plans, it is necessary to identify the constraints that may affect the production process and its result. Structural and process diagrams help account for capacity constraints and determine the cost of each finished product. The equations of the balance model provide a wide range of constraints
4. OPTIMIZING THE PLANS
A CPLEX-like solver, enhanced by the Digital Twin team with a warm start and pre-computed coefficients, is used for optimization. Balance tables make it possible to reduce the calculations to fast matrix multiplication. The balance model helps assess the resources available for producing the finished product across all chains, which improves the accuracy of the production function. The constraints created within the balance model reduce the search space for the solution.
Enterprise financial models
A financial model is a comprehensive tool that makes it possible to assess the current state of an enterprise and forecast its future activity. It includes a wide range of indicators that evaluate the enterprise's financial flows, including revenue, cash flows and profit. With its help, you can determine the impact on its financial position of both external factors, such as market changes, and internal ones, such as changes in the company's operations.
The financial model addresses the task of assessing asset performance, accounting for resources and building a financial plan, and it also makes it possible to optimize production costs, including logistics and production processes. It treats production as a flow-based, balanced and multi-point dynamic model, which helps maintain the right balance between production and consumption capacity, preventing under-loading and overloading of production facilities.
The financial model addresses the task of assessing asset performance, accounting for resources and building a financial plan, and it also makes it possible to optimize production costs, including logistics and production processes. It treats production as a flow-based, balanced and multi-point dynamic model, which helps maintain the right balance between production and consumption capacity, preventing under-loading and overloading of production facilities.
Management of the efficiency and risks of financial and economic activity
A system that makes it possible to assess potential financial losses and determine the level of risk associated with asset management, including stocks, bonds and other types of investments. The model accounts for accounts receivable and tracks underused and overused assets to increase revenue and strengthen the stability of the business. The model is based on the principle of representing production as a dynamic system with many balanced flows. Such a system not only reduces risks but also optimizes efficiency through careful process modeling.
Capacity and investment model
Overcoming shortages and surpluses of production capacity is the core task of this model, which evaluates all elements of the production process. Based on an analysis of the balance of production capacity, it is possible to determine the degree of under-use and over-use of production. This makes it possible to define optimal strategies for optimizing the process chains.
The assessment of a shortage or surplus of production capacity starts from consumers and takes their needs into account. Using the market model, a realistic sales forecast can be built and you can understand how much capacity is needed to meet demand, taking into account the process flow and losses. With this information, the model helps plan the construction of new elements to reliably meet demand, thereby improving the financial efficiency of the business.
In addition, the model includes a program for monitoring and managing the condition of assets, making it possible to increase production capacity and reduce potential risks.
The assessment of a shortage or surplus of production capacity starts from consumers and takes their needs into account. Using the market model, a realistic sales forecast can be built and you can understand how much capacity is needed to meet demand, taking into account the process flow and losses. With this information, the model helps plan the construction of new elements to reliably meet demand, thereby improving the financial efficiency of the business.
In addition, the model includes a program for monitoring and managing the condition of assets, making it possible to increase production capacity and reduce potential risks.
Resource balance model
The asset resource balance model provides deep analysis in both physical and monetary terms to calculate the equilibrium cost of resources. It serves as a tool for planning and controlling all stages of the production process.
An additional advantage of the model is the ability to optimize production costs for logistics and production processes, which also helps increase the likelihood of achieving the company's financial goals.
The resource model treats production as a balanced and multi-flow dynamic model, making it possible to account for many variables and adapt to changing market conditions.
An additional advantage of the model is the ability to optimize production costs for logistics and production processes, which also helps increase the likelihood of achieving the company's financial goals.
The resource model treats production as a balanced and multi-flow dynamic model, making it possible to account for many variables and adapt to changing market conditions.
Forms of the result
We offer various ways of working with us, allowing you to choose the most effective option in terms of time and cost. The initial consultation is free of charge.
Consultations
Analytics platform
Analytical report
Interactive dashboard
Outsourced specialist
Deliverable model (API)
Project examples
Let's discuss your tasks
Schedule a consultation today to find out how we can help you.
With more than 15 years of experience, our team of experts has helped many companies improve the efficiency of their business.
How do we solve problems?
01 Diving into the task
Together, we assess the scope of the project and agree on your pain points and the methods for solving them.
02 Data collection
We assemble a base of source production information, combining structural, process and logistics diagrams with real-time market data.
03 Using or building models
We develop, refine and calibrate a unique combination of models with great attention to detail.
04 Providing control functions
These functions make it possible to monitor, evaluate and identify bottlenecks. Such functions provide insight into market dynamics, production efficiency and financial planning, paving the way forward.
05 Updating the data
Our solutions integrate easily with your data sources, ensuring real-time relevance and helping to build a dynamic decision-making ecosystem.
06 The result
We deliver the result in a form convenient for you, whether that is a PDF report, an interactive web platform or a computational API.
Our projects
Construction materials manufacturer
Thanks to precise data integration, our digital twin reflected market dynamics and shifts in demand and supply trends in real time. This helped the holding stay on target and avoid overproduction.
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Thanks to precise data integration, our digital twin reflected market dynamics and shifts in demand and supply trends in real time. This helped the holding stay on target and avoid overproduction. Guided by these forecasts, the holding skillfully adjusted its production plans and optimized resources to match real market demand, avoiding a crisis, boosting profitability, and securing strategic growth. Our digital twin prevented potential disruptions and paved the way for further success, demonstrating the transformative impact of data-driven decisions and innovative solutions in today's complex business environment.
Mineral fertilizer production
Our team led the development of a digital twin for production assets, significantly transforming operations at a leading fertilizer manufacturer. By integrating market dynamics, supply-chain complexity, and plant-level nuances, the digital twin became a powerful strategic tool.
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Our team led the development of a digital twin for production assets, significantly transforming operations at a leading fertilizer manufacturer. By integrating market dynamics, supply-chain complexity, and plant-level nuances, the digital twin became a powerful strategic tool. The company gained unprecedented scenario-analysis capabilities, using the digital twin as a proactive instrument for strategic and investment planning. With improved forecasting, the company was able to confidently tackle multifaceted challenges, make optimal decisions, and allocate resources wisely. The result? Knowledge-driven strategic decisions that increased profit and strengthened competitiveness amid a volatile external environment. This achievement demonstrates the powerful combination of data and innovation, driving breakthrough results in strategic planning and resource allocation.
Waste-to-energy processing
Our team transformed the operations of a waste-to-energy company with an innovative digital twin. By meticulously mapping every operational aspect, this digital twin drove revolutionary change.
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Our team transformed the operations of a waste-to-energy company with an innovative digital twin. By meticulously mapping every operational aspect, this digital twin drove revolutionary change. Its real-time modeling exposed inefficiencies and unnecessary costs, sparking a thorough modernization of the production line. The result? Strategic waste reduction, higher profitability, and sustainable success. Using detailed financial forecasts, the company strategically and efficiently reduced debt and hit its profitability targets. The digital twin's impact became evident, proving the value of accurate data and strategic decisions. This achievement highlights the transformative potential of innovation — turning challenges into opportunities and driving business efficiency, resilience, and growth.
Ore beneficiation
Our open-pit mining model strategically accounts for complex geological conditions, challenging logistics, and ore beneficiation. It played a decisive role in offsetting a potential decline in beneficiated-ore output.
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Our open-pit mining model strategically accounts for complex geological conditions, challenging logistics, and ore beneficiation. It played a decisive role in offsetting a potential decline in beneficiated-ore output. Detailed modeling of the entire mining ecosystem — from geology through logistics to beneficiation — delivered precise insights. Amid these challenges, optimal strategies were identified to mitigate the impact of the output decline. The results were transformative: data-driven insights enabled increased production volumes and helped counter the risk of decline. This achievement reflects our commitment to innovation, precision, and engineering excellence. Sound, evidence-based decisions help us overcome challenges and drive growth amid complexity.
Pipeline operator
Implementing a pipeline integrity management program revolutionized our operations through a combination of innovation and strategic planning.
Подробнее
Implementing a pipeline integrity management program revolutionized our operations through a combination of innovation and strategic planning. This fast, significant improvement is marked by a substantial reduction in repair volume and underscores the effectiveness of proactive strategies. The program's insightful results uncovered previously unknown pipeline risks and let us reduce them to an unprecedented level. As a result of these changes, we observed a 50% reduction in both incident rates and unit operating costs, confirming the program's effectiveness. In the field of pipeline integrity management, our efforts stand as a successful example of how innovation can reduce risk, strengthen operations, and drive excellence.
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