Projects

Ahsan Khan – Project Showcase

Operations Research Analyst | Master’s in Mathematics | Data-Driven Problem Solver

Ahsan Khan – Project Showcase

I am Ahsan Khan, an Operations Research Analyst with a Master’s degree in Mathematics, driven by a passion to solve real-world problems using data, logic, and optimization techniques.

With a deep understanding of mathematical modeling, decision analytics, and system optimization, I help organizations in healthcare, manufacturing, transportation, and logistics improve performance, reduce waste, and make smarter decisions.

This Project Showcase highlights the practical impact of my work across industries.

Project 1: Reducing Logistics Costs in Textile Supply Chain

Client: Textile Manufacturer, Faisalabad
Challenge: High transportation costs and inventory mismanagement.
Solution:

Built a Linear Programming (LP) model to optimize routes and load distribution.
Used Excel Solver and Python (PuLP) to model transportation decisions.

Result:
✅ 25% reduction in transportation cost
✅ Streamlined warehouse-to-retailer delivery system
✅ Reduced delivery time by 30%

Project 2: Hospital ER Optimization During Pandemic

Client: Public Hospital, Lahore
Challenge: Overcrowded emergency department, ICU bottlenecks.
Solution:

Applied Queueing Theory and Discrete Event Simulation to model patient flow.
Forecasted patient demand using historical trends and simulation in Arena.
Result:
✅ Wait time reduced by 40%
✅ ICU beds managed effectively under crisis conditions
✅ Improved patient throughput and safety

Project 3: Urban Bus Route Optimization in Islamabad

Client: Karachi City Transport Authority
Challenge: Long travel times and inefficient fleet allocation.
Solution:

Designed a Network Optimization Model using Graph Theory.
Applied Integer Programming to allocate buses across routes based on peak demand.

Result:
✅ Commute time reduced by 20%
✅ Increased route efficiency
✅ Better public transport reliability

Project 4: Workforce Scheduling for Manufacturing Plant

Client: Sialkot Steel Manufacturing Unit
Challenge: Unbalanced shifts, high overtime costs, employee dissatisfaction.
Solution:

Developed a Shift Scheduling Optimization Model with constraints on worker availability, legal hours, and production goals.
Used Gurobi + Python for solving the model.

Result:
✅ Overtime reduced by 35%
✅ Better workload balance
✅ Increased worker satisfaction and productivity

Project 5: Inventory Forecasting for an E-commerce Business

Client: Retail Startup, Islamabad
Challenge: Stockouts, excessive inventory holding costs.
Solution:

Built a Demand Forecasting Model using time series analysis.
Developed a Reorder Point System using safety stock and lead time logic.

Result:
✅ Inventory availability improved by 25%
✅ Lowered holding costs by 18%
✅ Smarter inventory purchasing decisions

Tools & Technologies I Use

Optimization Tools: Excel Solver, Python (PuLP, Gurobi), LINGO
Simulation: Arena, AnyLogic
Data Analytics: Python (NumPy, Pandas), Power BI, Tableau
Forecasting: Time Series Modeling, Monte Carlo Simulation
Domains Served: Manufacturing, Healthcare, Public Transport, Retail, Government

Why Work With Me?

I transform complex data into clear decisions.
I combine mathematical theory with practical applications.
I deliver measurable results—cost savings, time reduction, and efficiency.

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