Optimización con un modelo IRP multiobjetivo de la cadena de suministro de perecederos para los Fast Food Restaurant, caso RANSA en Bogotá D.C.

Abstract

The main challenge in the logistics of perishable products lies in the high transportation and inventory management costs for both suppliers and customers. In addition, they face operational constraints such as specific time windows for deliveries and limited storage capacities in different supplier and customer warehouses. The present project addresses the routing and inventory problem (IRP) as a multi-objective model designed to optimize and minimize costs in the perishable food supply chain. The objective function is cost minimization, comprising transportation costs, food losses, and inventory. The solution methods of the IRP model allow optimizing the costs associated with transportation and storage, taking into account demand constraints, vehicle capacity, available inventory, quantity to be delivered, losses contemplated in the inventory costs and the number of visits necessary to supply each customer in a given planning horizon. In this project, the mathematical model proposed by Archetti [61] is used to address an inventory routing problem, modified and adapted to the requirements of a Fast Food Restaurant client in the city of Bogota. The model was solved using AMPL - Gurobi Optimizer 11.0.3. According to the number of nodes explored, it is a problem of moderate complexity, has a small Gap and the result is reliable and with quality. The average time used for the solution was 1,290 Seconds (21.5 minutes).