Modelling and Simulation of the Single-Period Vehicle Routing Problem in the Agriculture Industry.

This paper aims to discuss the concept of modeling and simulation for addressing transportation challenges in Malaysia's agriculture industry, focusing on the capabilities of distribution centers (DC) and collection centers (CC). To identify the optimal solution for the single-period vehicle routing problem (SP-VRP), we developed an optimization model that accurately represents the real-world problem, accompanied by a transportation problem simulation. The challenge involves determining the collection quantities, times, and routes to the CCs within the SP-VRP system. Consequently, we constructed a linear mixed-integer program to solve the SP-VRP. A comprehensive analysis of a sample problem demonstrates how our proposed approach is integrated. The results indicate that vehicle capacity is optimized efficiently, with an average capacity utilization of 100% across all tours and solving optimal routes allows for an evaluation of how well the model achieves this objective, as well as how different routes affect logistics performance. [ABSTRACT FROM AUTHOR]