🔬 Academic Research

Research Overview

My research bridges pure mathematics and real-world decision problems — developing intelligent inventory and supply chain models powered by nature-inspired optimization algorithms.

9+Publications
6+Algorithms Used
4+Research Areas
3Active Projects
2021–NowActive Years
Core Research Areas

Inventory Control

Development of mathematical models for deteriorating items incorporating pricing policies, preservation investment, advance payments, and memory-sensitive demand under real-world constraints.

Supply Chain Management

Optimization of integrated production-distribution systems using mathematical modeling, fractional calculus, and computational intelligence for complex multi-echelon supply chains.

Sustainability

Integration of environmental and economic sustainability into supply chain models — minimizing carbon footprint while maximizing profit through green inventory optimization strategies.

Imperfect Production

Modeling realistic manufacturing environments with defective items, rework processes, inspection policies, and random quality variations to minimize total production-inventory costs.

Nature-Inspired Algorithms

Optimization techniques applied in research:

Differential Evolution (DE) Bat Algorithm (BA) Hybrid Optimization Methods Nature-Inspired Heuristics Fractional Calculus Models Metaheuristic Techniques
Computational Tools
Python
MATLAB / Scilab
LaTeX
Manim
Data Analysis
Optimization
Research Projects
Active

Inventory Optimization for Deteriorating Items

Developing mathematical models for deteriorating items in supply chain systems incorporating pricing policies, preservation investment, and metaheuristic optimization techniques.

Inventory Control Differential Evolution Deteriorating Items
Active

Sustainable Supply Chain Models

Building integrated supply chain models that balance economic profit with environmental sustainability — incorporating carbon emission constraints and green investment policies.

Supply Chain Sustainability Green Inventory
Ongoing

Metaheuristic Algorithm Development

Designing and testing hybrid metaheuristic algorithms — combining Differential Evolution and Bat Algorithm — to solve complex nonlinear inventory optimization problems.

Bat Algorithm Hybrid Methods Nonlinear Optimization
Planned

Fractional Calculus in Supply Chains

Applying fractional calculus to model memory-sensitive demand patterns and anomalous diffusion in supply chain dynamics — extending classical EOQ models to fractional orders.

Fractional Calculus Memory Effects EOQ Models

Open to Research Collaboration

Interested in joint research on inventory optimization, supply chain modeling, or metaheuristic applications? Feel free to reach out.

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