Goal Programming or Multi-Criteria Decision Making
Goal programming is a powerful technique used to address complex real-world problems that involve multiple conflicting criteria. It allows companies to consider and optimize multiple objectives simultaneously, rather than focusing solely on a single criterion. Similarly, multi-criteria decision analysis provides a structured approach to evaluating and comparing alternatives based on multiple criteria, enabling decision-makers to make more informed and balanced decisions. By utilizing these methodologies, businesses can navigate the complexities of decision-making and problem-solving in a more holistic and effective manner.

Goal Programming Pricing
The Imsofai team is dedicated to collecting, cleansing, and analyzing acquired data to provide valuable insights and recommendations for companies. Our tailored data-driven approach will assist Micro, Small, and Medium Enterprises (MSMEs) in creating effective policies based on the recommendations. This product is specifically designed to cater to the unique needs of MSMEs
Quarterly Plan
Best choice for small companies
Discounted Price
A promotional discount of 68% is available for this product
Annual Plan
Best choice for long term planning
Discounted Price
A promotional discount of 68% is available for this product
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Single License
Best for consultants
Discounted Price:
A promotional discount of 68% is available for this product
Colleague License
Best for Start-Ups
Discounted Price:
A promotional discount of 68% is available for this product
Team License
Best for Companies
Discounted Price:
A promotional discount of 68% is available for this product
How our product works
Objective function identification.
Categorization
Constraints formulation
Model building & Cloud Integration.
Categorization
Once the data is processed we divide the data into two categories let’s say primary and secondary. The primary data is the one which is essential to converge to optimality. We can inject the secondary data into the model using sensitivity analysis which helps us to find how the optimality changes when we introduce additional constraints, unit change in objective function, and unit change in resources
Constraints formulation.
In Goal programming, constraints play a crucial role as they represent the limitations on the available resources. Our algorithm must effectively utilize these resources to achieve optimality. We carefully extract the relevant information from the data to formulate the linear function of constraints, with respect to our objective function.
Model building & Cloud Integration.
We have developed a powerful model and seamlessly integrated it into the cloud, offering it to our customers as a Software as a Service (SaaS) platform.