From dairy to sugar, food and beverage manufacturers maintain the health and safety of consumers by ensuring consistent product quality. However, manufacturing decisions can be clouded by a lack of visibility into certain processes, preventing optimal decision making:
Heterogeneous raw material quality
Lack of digitized information
Lengthy recipe improvement process
Digital Formula & Recipe Management
Maintaining the accuracy and consistency of recipes can be daunting for batch production operations.
Basetwo offers process engineers with the ability to assess and optimize recipes, increasing operational efficiency and flexibility by reducing product changeover time and improving product quality and consistency.
The platform allows users to abstract formulas and recipes from underlying control systems, which streamlines the introduction of new product processes enterprise-wide.
Batch Data Management
Process and Quality Control specialists can use the Basetwo platform to not only improve yields through increased product quality and operational efficiency, but also better collect, visualize and process batch data.
Improved management of batch data can help deliver consistent quality in alignment with recipe specifications, maximize asset utilisation and help reduce dependency on paper records, ultimately reducing batch release cycles.
Pasteurization & Sterilization
Pasteurization & sterilization is a energy-intensive, regulated process for manufacturers to ensure the health and safety of consumers. As such, process deviations need to be kept to a minimum to avoid contamination and ensure process efficiency.
Food & beverage manufacturers can use Bastwo’s modeling solution to predict process deviations in pasteurization & sterilization and ensure risk of contamination is minimized.
Enzymatic reactions are key for many steps in food and beverage processing but complicate manufacturing due to the inherent heterogeneity associated with biochemical reactions.
Using the Basetwo platform, engineers can easily build Michaelis–Menten and Monod-based enzymatic process models to model enzymatic performance, significantly reducing manufacturing uncertainty and risk.
Multi-effect evaporators (MEE) function to remove extra water content in food & beverages to concentrate ingredients and to maximize the shelf-life of products.
Using process data, the ML models in Basetwo can be customized to handle vapor bleeding or heat loss from each effect and integrated with a neural network to solve for unknown heat transfer coefficients, allowing reliable simulation of evaporative performance.
From evaporation to sublimation, effective crystallization requires highly specific conditions to ensure desired crystal shape and growth. Proper crystallization can have the highest impact on product yield and quality.
Leveraging ML process models in Basetwo allows engineers to predict and evaluate the influence of key process variables on final product quality.
Reducing the energy consumption of distillation is complex due to nonlinearities of upstream process disturbances that influence current operating conditions and process efficiency.
Basetwo’s modeling and optimization capabilities leverage industry-proven methods to generate and accurately predict operating information, enabling engineers to rapidly react to changes in process conditions driven by upstream output or other disturbances.