M.Tech Project: Stochastic Transportation Optimization

Broad Category: Tabulated Analytics + Optimization

Program: M.Tech in Industrial Engineering (Decision Sciences/Analytics), NIT Calicut

Project Focus: Stochastic transportation planning for perishable goods, using uncertainty-aware optimization models.

Overview

This project developed models to transport perishable items while balancing transportation cost, time, and food decay under stochastic demand and supply conditions.

Key Contributions

• Formulated multi-objective stochastic transportation problems for perishable supply chains.
• Implemented chance-constrained programming techniques to handle demand and cost uncertainty.
• Built MATLAB prototypes to simulate transportation schedules and evaluate solution feasibility.
• Validated performance on realistic scenarios with budgetary and timing constraints.

Technology

MATLAB, stochastic programming, chance-constrained optimization, transportation modeling.

Outcome

The project demonstrated improved decision support for perishable goods logistics and provided a strong foundation in algorithmic optimization for future analytics work.