By
Reduce your raw material costs by up to 4%.*
Make your decision process more responsive. Optimize your model with new conditions in a few seconds.
Customized model for each production unit.
Optimize global objective by integrating decisions between departments.
*Data based on the average result of previous projects.

Data and Mathematical Model

The process is represented by a customized mathematical model made by theoretical equations and empirical relations based on historical production data. The model integrates thermal, chemical and mass balances, physical quality of materials, and environmental restrictions in all production processes.

All costs are considered, classified as fixed or variable, at each stage of the process. Revenues from final products and by-products are used to calculate total profit, which is maximized by optimization.

Payback in a few months

One of the fastest payback in the software industry. Based on previous projects, we estimate recurrent savings of up to 8% of material cost.

A lower-cost final product does not always result from lower-cost products throughout its production. Determine the right quality for your intermediate products

Determine the value in use of your materials

Buy raw material at the ideal price to be paid. This price varies with the quality of the material and the impact it has on the cost of production.

Raw materials' purchase constitutes an important part of the total production cost. Any related decision is hence very strategic. Select your suppliers and determine the right quantity to buy considering the price, the quality and the logistics costs.

Optimize your product portfolio in order to achieve the highest possible profit from a productivity model adapted to the plant's capacity.

Analysis of the attractiveness of new products

Determine from what price it is profitable to produce a certain product, considering the consumption of materials, the occupation of your equipment as well as the “portfolio effect” when two products compete in the use of a bottleneck resource.

Determine production levels

Set production goals that minimize your total cost based on the marginal cost of production for each intermediate product. Take into account different scenarios such as the availability of materials and market conditions.

Evaluate the return on investments in productive capacity through editable parameters according to the sizing and characteristics of the plants.

Applies to all processes

Companies of the metals industry (steel, iron, copper...) set to face similar challenges, from the acquisition of raw materials, or their processing, to the decision of the portfolio of products sold. See some examples of the application of our solution.

Integrated Steel Plants

Optimize your purchase of coal, use the necessary pellet, determine the best desulfurization and dephosphorization strategy, optimize your energy matrix.

Direct Reduction

Choose pellets considering their impacts on metallization, carburization, and productivity. Integrate and optimize the decisions between reduction and melt shop, such as the amount of sponge iron in the charge of the electric furnace.

Stainless steel

Optimize the purchase of carbon and stainless steel scrap reducing ferroalloy costs and integrating decisions with secondary metallurgy.

Charcoal-reduced steel processes

Optimize the purchase and use of ores of different qualities, impacting the bio-reducers' consumption and the pig iron production capacity.

Minimills

Optimize the purchase of scrap from several suppliers considering the chemical and physical aspects, impacting the power-on time and then cost and production of the steel.

Foundry

Optimize the use of the returns generated at the mill and the purchase of scrap from the market by type of alloy produced, choosing the best production route according to energy consumption (coke or electricity), yield and production pace.

We will create the perfect model to support you in making strategic decisions for your plant/factory.

Features

Compare the optimized results in different scenarios.

Analyze data and select the best regression that represents the reality of the process.

Perform advanced analysis in just a few clicks:

• Marginal cost/profit curve by the production level
• Custo Marginal by quality
• The marginal value of the use of raw materials
• Attraction and profitability of two products by quality

Import data from other systems in an automated and secure way.

Compare the optimized results in different scenarios.

Analyze data and select the best regression that represents the reality of the process.

Perform advanced analysis in just a few clicks:

• Marginal cost/profit curve by the production level
• Custo Marginal by quality
• The marginal value of the use of raw materials
• Attraction and profitability of two products by quality

Import data from other systems in an automated and secure way.

Testimonials

Guilherme Liziero Ironmaking Technical Consultant - GERDAU
“We have implemented Cassotis' model customized for our integrated steel plant at Ouro Branco. The model based on our production data and the features of Quandec improved and speeded up our decision-making process. We now optimize our purchases and quantify any decision with a global vision.”
Usiminas Industrial Engineering
“The project we carried out integrated the productive areas of Ipatinga's plant. In addition to their expertise, one of the highlights of working with Cassotis is the customer service and availability of the consultants. And this, from the implementation process to the post-project support.”
Vinícius Ricardo Lima de Deus Industry 4.0 - Gerdau
“A few months after concluding the project with Cassotis, we could already achieve higher planning accuracy and improvement in our results. We observed a significant cost reduction compared to the spreadsheet we were using to make monthly decisions for the procurement of the raw material used in the furnaces.”