Master’s in Mathematics | Expert in Analytical Modeling & Real-World Simulation

The Analyst Behind the Model

In the world of Operations Research, the best solutions don’t come from guesses—they come from models. For Ahsan Khan, a trained mathematician and analyst, simulation is more than a method—it’s a mission to replicate complex systems, understand behavior, and optimize performance.

From healthcare systems to supply chains, Ahsan creates mathematical and simulation models that mimic real-world processes—helping decision-makers test strategies, manage risk, and make the smartest moves before investing a single rupee.

Why Modeling & Simulation Matters

Many systems—factories, hospitals, transport networks—are too complex for exact formulas or assumptions. Ahsan uses simulation to:

Test “what-if” scenarios
Analyze system bottlenecks
Minimize risk in decisions
Evaluate performance before implementation

Ahsan Khan’s Modeling & Simulation Workflow

1. Problem Formulation

Every model begins with a question.

"How can we reduce patient waiting time in the ER?"
"What’s the best vehicle routing for 200 deliveries in Karachi?"

Ahsan starts by mapping system components, data inputs, and decision variables.

2. Model Building (Mathematical or Logical)

Depending on the system, Ahsan chooses the appropriate modeling technique:

🧮 Mathematical Models:

Linear Programming (LP)
Mixed-Integer Programming (MIP)
Stochastic Programming

🔁 Simulation Models:

Discrete-Event Simulation (DES)
Monte Carlo Simulation
System Dynamics Modeling

3. Simulation & Experimentation

Using simulation software or custom Python/R code, Ahsan runs hundreds or thousands of replications to observe performance under different inputs or uncertainty.

Example:
Simulating emergency room flow over a 24-hour period helped uncover peak congestion times and staff misalignments.

4. Performance Metrics & Optimization

Each model tracks KPIs like:

Waiting time
Queue length
Resource utilization
Throughput
Inventory levels
Service levels

Once the simulation is stable, Ahsan applies optimization techniques to improve outcomes.

Real-World Impact Through Simulation

Last-Mile Delivery Optimization

Simulated delivery routes under variable traffic and package volumes.

✅ Outcome: 25% reduction in fuel costs, 15% increase in on-time delivery rates.

Manufacturing Process Simulation

Built a discrete-event model of assembly lines, including maintenance and buffer zones.

✅ Outcome: Identified hidden bottlenecks; raised production output by 18% with minor scheduling

Tools & Platforms Used by Ahsan Khan

Simulation Techniques Used

Industries Where Ahsan Applies Modeling

Healthcare

Logistics & Transportation

Retail & Inventory

Manufacturing

Government & Public Services

Why Work With Ahsan Khan?

✅ Data-Driven
✅ Math-Smart
✅ Business-Oriented
✅ Results-Focused

“A model doesn’t give you the answer—it gives you the insight to make the right decision.”
— Ahsan Khan

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