Service Management of Employee Shuttle Service Under Inhomogeneous Fleet Constraints Using Dynamic Linear Programming #worldresearchawards #researcherawards #employee

 

🚐 Optimizing Employee Shuttle Services with Smart Fleet Management

Managing employee transportation efficiently is essential for reducing costs and improving workplace operations. This study explores how Dynamic Linear Programming (DLP) can transform shuttle services, especially when dealing with an inhomogeneous fleet—different vehicle types, capacities, and costs.

By applying DLP to the Yalova Shipyard case, the model streamlines scheduling, optimizes vehicle allocation, and significantly lowers fuel, maintenance, and tax expenses. The approach ensures improved operational efficiency, better resource utilization, and more sustainable transportation solutions for organizations. 🌱✨

🔍 Key Highlights

• 🚗 Smart allocation of mixed-capacity shuttle vehicles

• 📉 Reduced operational costs using dynamic optimization

• ⏱️ Improved scheduling accuracy and service reliability

• 🛠️ Lower maintenance burden due to optimized fleet usage

• 🌍 Supports sustainable and strategic transportation planning

📌 Why It Matters

Efficient employee transport leads to
✔ Better punctuality
✔ Lower emissions
✔ Healthier budgets
✔ Stronger workforce satisfaction

This case proves how mathematical optimization can revolutionize real-world transport systems and deliver measurable, sustainable benefits. 🚀

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