Enterprise digital twin

Forecasting demand, supply and product prices optimizes production planning and resource allocation, ensuring sustainable growth aligned with market requirements.

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.

Identifying and eliminating bottlenecks and suboptimal chains makes it possible to improve the quality of the finished product and minimize total production costs.

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.

Monitoring the integrity of pipelines, logistics and production systems to minimize repairs and incidents, thereby reducing operating costs and risks.

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.

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.

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.

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.

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 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.

Together, we assess the scope of the project and agree on your pain points and the methods for solving them.

We assemble a base of source production information, combining structural, process and logistics diagrams with real-time market data.

We develop, refine and calibrate a unique combination of models with great attention to detail.

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.

Our solutions integrate easily with your data sources, ensuring real-time relevance and helping to build a dynamic decision-making ecosystem.

We deliver the result in a form convenient for you, whether that is a PDF report, an interactive web platform or a computational API.