Ramco OPTIMA

Designed to drive innovation in process optimization

In today’s competitive environment, to sustain and grow, manufacturing business houses and energy utilities have to improve productivity by reducing various costs of operations, ensure high availability of assets, maintain product quality, and meet social obligations like reducing the pollution, enhance mineral life with optimal fuel consumption and elevate operational safety levels. Leveraging information technology and optimizing processes can be the key to overcome these challenges.

Ramco OPTIMA is a world-class process optimization solution that improves plant productivity and efficiency in manufacturing/utilities industries such as cement, power, chemical and fertilizers. This is achieved by online control through technologies and models thus improving the process operations. State-of-the-art technologies like fuzzy logic, regression analysis, and Artificial Intelligence techniques like neural networks are leveraged in optimization solutions.

Ramco OPTIMA consistently endeavors to stabilize process, maintain consistent quality and lower operational costs. Further, it eliminates any loss due to human error and multiple operator behavior syndromes. Our process optimization solution is user friendly that building the solutions does not require any computer coding. Moreover, its modular in design facilitates organizations to plug in the relevant techniques as required for the operations.

Ramco OPTIMA   Explore Ramco OPTIMA in detail
 

Ramco OPTIMA has been developed by a confluence of control – system process optimization experts, industry specialists and software architects.

Supervisory Model

The virtual kennel of Ramco OPTIMA encapsulates the entire knowledge base as a set of IF-THEN rules and comprises complex mathematical modeling tools and artificial intelligence techniques.

Tools and Technologies
Data Modeling – Neural Networks

The neural network tool box provides a powerful and robust means to recognize a pattern and derive a relationship with the available data. It has self-tuning capability and can be used as a soft- sensor for prediction of process parameters.

Genetic Programming

Genetic Programming (GP) is a method to evolve mathematical equations binding the data using complex computations based on the evolutionary algorithms.

Statistical Analysis – Regression analysis & Partial least squares tools

This tool box uses prediction of process parameters by multiple regression analysis to take proactive action. With the help of correlation and regression analysis, and methods of believing most reliable result, among the outputs of these controllers, control actions are taken to ensure the parameter control and optimization.

Heuristic Modeling – Fuzzy Logic Controller

Fuzzy Logic Controller module allows creation of simple IF –THEN rules in order to map the processes that could not otherwise be expressed in mathematical equations but only through rules. Complex systems which require multiple units and multiple outputs for decision making can be modeled using fuzzy logic. This technology is used for various decision making and root-cause analysis of a process.

Control Graphs

This module captures the one-to-one relationships that exist between process parameters in the graphical form. Using interpolation mechanisms, the module computes the value of the output or dependent parameter by utilizing instant value of the input or independent parameter.

Process Analysis Tool

Process Analysis function comprises of data mining tools that helps in utilizing of historical data for process.

Trend and Reports

Ramco Optima provides a robust Management Information System ( MIS) that apart from providing assessment of the control and optimization, provides classified management information such as condition based reporting, run-hours reporting besides routine reporting.