Expert in Mathematical Modeling and Operations Research
📅 Published in: International Journal of Operations Research and Management Science , 2024
🔍 Abstract:
This study presents a mathematical model for optimizing multi-node supply chain systems using linear programming. Real-world data from urban logistics was used to minimize transportation costs and delivery time.
📅 Published in: Journal of Health Systems Engineering, 2024
🔍 Abstract:
A hybrid operations research approach combining discrete-event simulation and queueing theory to model and optimize patient flow in hospitals. The model reduced average wait times by 38% in a large urban hospital.
📅 Published in: Applied Mathematical Modelling, 2023
🔍 Abstract:
This paper explores the use of mixed-integer programming and Pareto optimization in solving complex vehicle routing problems. Emphasis is placed on balancing cost-efficiency and sustainability.
📅 Published in: Operations Research Review, 2023
🔍 Abstract:
An analytical comparison of three leading optimization solvers applied to large-scale linear and nonlinear problems, with performance metrics on speed, accuracy, and scalability.
📅 Published in: Journal of Retail Analytics & Optimization, 2022
🔍 Abstract:
This publication explores the integration of machine learning forecasting models with mathematical optimization for inventory and pricing decisions in the retail sector.
📅 Published in: Mathematics Education Today, 2021
🔍 Abstract:
Focused on improving engagement in mathematics education by connecting theoretical concepts to practical OR problems in logistics, healthcare, and industry.
📅 Published in: International Journal of Humanitarian Logistics, 2020
🔍 Abstract:
Ahsan Khan models emergency logistics using minimum-cost flow networks to distribute critical supplies efficiently under uncertainty and time pressure