Data Analysis, mining & modeling:
We identify the relevant data requirements and sources for a given project. Next, the data is cleaned, standardized, normalized and made suitable for analysis. Customized models and processes are then built and used to sort and analyze data. The models are regularly updated to keep up with the improved quality of data obtained through the various prior stages of
modeling. Various algorithms are experimented with and the best fit algorithm is applied to the process data. The deliverables include the results of the analysis and simulation, inferences, conclusions and business process recommendations.
Case Study
Quantitative solutions (optimization models, heuristic solutions): Simulytics constructs and develops optimization solutions (Linear Programming, Integer Programming and Mixed Integer Programming based models) . We also provide heuristic-based solutions for complex problems, such as transportation & vehicle routing
processes. Quantitative solutions are arrived at by analyzing the data ,performing various operations in advanced hypothesis testing and conducting in-depth field
studies. Some of the areas we have worked in include handling inventory management systems, providing transport solutions and developing process automation.
Case Study
Process Consulting: Our process consulting practice works on " de-bottlenecking " processes with minimal capital
investment. This ensures rapid payback and good returns on investment. We work on a "
retainer ship " model with our customers because we believe that consulting is more than just
recommendations; it's also about execution. Our consulting engagements include:
- Supply chain planning & operations
- Reverse logistics operations
- Warehousing operations
Case Study