Ahsan Khan – Solving Pakistan’s Toughest Problems with Math

Ahsan Khan, a Mathematics graduate with a Master’s degree, has always seen the world through numbers. But Ahsan is more than a mathematician—he’s a problem-solver, a systems thinker, and one of Pakistan’s rising stars in the field of Operations Research (OR).

Over the past few years, Ahsan has led several high-impact projects across different industries. His analytical mind and passion for optimization have helped transform inefficient systems into smooth, intelligent operations.

Project 1: Supply Chain Optimization for a Textile Giant

Pakistan's textile industry is massive—but also chaotic. Ahsan was hired by a leading textile manufacturer in Faisalabad facing inventory issues, delayed shipments, and cost overruns.

What he did:

Built a linear programming model to minimize inventory holding costs while ensuring timely deliveries.
Implemented a transportation model to reduce logistics expenses.

Impact:

25% reduction in monthly shipping costs.
30% faster delivery turnaround.
Centralized warehouse decisions using Excel Solver and Python optimization tools.

Project 2: Hospital Resource Allocation Model During COVID-19

During the COVID-19 crisis, Ahsan worked with a public hospital in Lahore that was overwhelmed by patient flow.

What he did:

Created a queueing model to reduce waiting time in emergency departments.
Applied simulation techniques to forecast bed occupancy and resource usage.

Impact:

Patient waiting times dropped by 40%.
Improved use of ICU beds and ventilators.
Helped the hospital avoid critical bottlenecks during peak weeks.

Project 3: Public Transport Optimization in Islamabad

Ahsan teamed up with a transport authority to fix route inefficiencies and crowding issues in Karachi's bus system.

What he did:

Applied network optimization to redesign bus routes.
Used integer programming to determine optimal bus frequency and fleet size.

Impact:

Reduced commuter travel time by 15–20%.
Increased ridership and improved fuel efficiency.

Project 4: Workforce Scheduling in a Manufacturing Plant

A factory in Sialkot was facing overtime issues and low productivity due to poor workforce scheduling.

What he did:

Built a workforce scheduling model using Excel Solver and Gurobi.
Balanced worker shifts, skill levels, and production targets.

Impact:

Overtime costs dropped by 35%.
Worker satisfaction improved due to fairer schedules.

Legacy of Ahsan Khan

Each project Ahsan takes on is driven by a single mission: “Use data and mathematics to make systems smarter and lives better.”

His ability to turn complex mathematical models into real-world solutions has made him a trusted consultant across sectors—from healthcare to industry to government planning.

Today, Ahsan is not only a skilled Operations Research Analyst but also a mentor to young mathematicians who want to bring positive change through analytics and optimization.

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