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Inicio  /  Algorithms  /  Vol: 12 Par: 5 (2019)  /  Artículo
ARTÍCULO
TITULO

A Heuristic Algorithm for the Routing and Scheduling Problem with Time Windows: A Case Study of the Automotive Industry in Mexico

Marco Antonio Juárez Pérez    
Rodolfo Eleazar Pérez Loaiza    
Perfecto Malaquias Quintero Flores    
Oscar Atriano Ponce and Carolina Flores Peralta    

Resumen

This paper investigates a real-world distribution problem arising in the vehicle production industry, particularly in a logistics company, in which cars and vans must be loaded on auto-carriers and then delivered to dealerships. A solution to the problem involves the loading and optimal routing, without violating the capacity and time window constraints for each auto-carrier. A two-phase heuristic algorithm was implemented to solve the problem. In the first phase the heuristic builds a route with an optimal insertion procedure, and in the second phase the determination of a feasible loading. The experimental results show that the purposed algorithm can be used to tackle the transportation problem in terms of minimizing total traveling distance, loading/unloading operations and transportation costs, facilitating a decision-making process for the logistics company.

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