Developing Optimization web apps for Enhanced Decision-Making

I translate business needs into powerful optimization tools and web applications. My solutions enhance decision-making processes through advanced modeling, programming, and automation.

I create Optimization and Decision-Making Automation web apps and business-tailored cloud-based tools for industries and academia. My work spans areas such as:

• Production Planning

• Supply Chain Optimization

• Blending Problems

• Resource-Constrained Project Scheduling

These apps, designed to bridge the gap between theory and practical implementation, are backed by mathematical models and heuristic algorithms, utilizing both open-source and commercial solvers like CBC, Gurobi and CPLEX.

I also help academia transform their research findings into tangible, viable, and impactful applications, ensuring that their outcomes are not only published but are also tested and utilized by potential industry end-users, making research truly valuable, long-lasting, and impactful.

Adopting a 9-Step Approach to Optimization and Intelligent Automation

1. Translating Business Needs:

Business requirements are understood to identify optimization problems, improvement gaps, and opportunities for enhancing effectiveness.

2. Formulating and Modeling:

Translating these needs into precise models, which could involve mathematical models, statistical and predictive models including machine learning, or a combination of these, tailored to the specific problem.

3. Developing Solution Approaches:

Robust solution strategies are developed using open-source or commercial solvers for mathematical models, heuristic algorithms, finely-tuned predictive models, or a blend of these approaches.

4. Programming and Pilot Implementation:

Programming the solution and implementing it in a pilot scope to achieve initial results. This step ensures the approach is viable and practical for the business.

5. Evaluating Effectiveness and Efficiency:

The proposed methodology is evaluated by comparing primary results with historical performance records, benchmarks, or expected outcomes to ensure it meets business goals.

6. Iterative Refinement:

Based on the evaluation, either proceeding to the next step or making necessary adjustments by reviewing the earlier steps to enhance the solution.

7. Finalization and Scaling:

Once refined, the solution is finalized and scaled to fit your business requirements, considering the problem’s size and your business unit’s priorities.

8. Development of Automation Tools:

Developing and implementing decision-making or optimization tools to automate the solution, which could be software, a web app, or a coded program, depending on specific needs and expectations.

9. Ongoing Maintenance and Evaluation:

Maintaining and periodically evaluating the performance of the automated tool, providing necessary support or improvements to ensure sustained effectiveness.