Department of Industrial Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran
Abstract
With the introduction of freight transportation into the passenger transit network, underground urban logistics are regarded as a desirable alternative to solve the challenges caused by truck movements in urban freight transport. The integration of surface and underground transportation resources can create a win-win cooperation between high-speed and subway companies by effectively using the extra capacity of the subway. In this research, the route planning of a cooperative metro-truck distribution system has been discussed considering variable split demand for customers. The main goal is to increase the efficiency of the cooperative distribution system and, at the same time, minimize costs, which include the fixed and variable costs of the truck, the cost of the time window penalty, and the accumulation of goods, the cost of subway transportation operations, and the cost of labor. To achieve this goal, an optimization model is developed that includes time and capacity constraints. In addition, a two-stage stochastic programming approach has been used to handle uncertainties related to customer requests. The findings show that considering variable requests in the collaborative distribution system can lead to a reduction in overall distribution costs.
Kord, H., & Behnamian, J. (2025). Route planning under cooperative metro-truck distribution considering variable requests. Supply Chain Management, (), -.
MLA
H. Kord; Javad Behnamian. "Route planning under cooperative metro-truck distribution considering variable requests", Supply Chain Management, , , 2025, -.
HARVARD
Kord, H., Behnamian, J. (2025). 'Route planning under cooperative metro-truck distribution considering variable requests', Supply Chain Management, (), pp. -.
VANCOUVER
Kord, H., Behnamian, J. Route planning under cooperative metro-truck distribution considering variable requests. Supply Chain Management, 2025; (): -.
)