Abstract:
The objective of this work is to present a project developed to maximize the occupancy rate of the vehicles that load at ArcelorMittal Vega, through the use of linear programming combined with robotic process automation (RPA) methods, in order to meet all assumptions of the cargo shipment model, such as: customer restrictions, maximum capacity per type of vehicle and distribution of volumes to carriers according to logistic planning. The use of optimization and automation tools, integrated with the ERP (Integrated Management System), used by the company, allows the mass transport scheduling process to be performed, obeying multiple criteria. The lack of tools that assist in this process, directly impacts the productivity, absorbs all the intellectual capacity of the human resources, the profitability of the conveyor, the capacity of shipment of the plant and the customer service level. In order to increase efficiency in the processes, improve the capacity utilization rate of the vehicles and consequently the capacity of shipment, the solution was implemented to improve the process of scheduling loads and to add value to the business in terms of delivery to the final customer