Consideration of triple bottom line objectives for sustainability in the optimization of vehicle routing and loading operations: a systematic literature review

65 páginasThe current global interest in improving the use of ever-scarcer natural resources calls for the re-alignment of supply chain operations to include not only economic factors, but environmental and social factors as well. Two of the most important supply chain activities that logistics managers have to deal with are the planning and improvement of the packing and distribution of products. Although the optimization of these two activities has been thoroughly studied by means of Vehicle Routing Problems and Packing Problems, their analysis is often done separately and, in most cases, they consider only the economic decisions. Independent optimization of these two operations may overlook the structural dependencies between them, resulting in impractical solutions; while the consideration of only the economic criteria can overlook the environmental and social impacts of distribution activities, in the scope of sustainable supply chains. With the objective of improving distribution logistics, the aim of this review is to provide an overview of recent optimization developments for integrating packing and routing problems, in order to propose a simple classification scheme for re-aligning the optimization criteria and operational constraints, taking into consideration the issues of sustainability

Uso de una heurística híbrida para resolver el problema de enrutamiento equilibrado de vehículos con restricciones de carga

26 páginasThe Vehicle Routing Problem with Loading Constraints (VRPLC) is strongly related to real life applications in distribution logistics. It addresses the simultaneous loading and routing of vehicles, which are two crucial activities in transportation. Since treating these operations separately may result in impractical solutions, the development of applications for VRPLCs has gained the attention of researchers in recent years. Several heuristic methods have been proposed, but they consider only a limited group of practical characteristics that arise in real world situations. This study proposes a hybrid heuristic method based on the Greedy Randomized Adaptive Search Procedure (GRASP) metaheuristic and the Clarke and Wright Savings algorithm, to solve a VRPLC with several loading and routing constraints that have not been considered simultaneously before. Experimental results show that the proposed procedure produces competitive solutions in short processing times. Lastly, the impact of the added operational constraints is also analyzedEl problema de enrutamiento de vehículos con restricciones de carga (VRPLC) está fuertemente relacionado con la vida real Aplicaciones en logística de distribución. Aborda la carga y el enrutamiento simultáneos de vehículos, que son dos actividades cruciales en el transporte. Dado que el tratamiento de estas operaciones por separado puede dar lugar a soluciones poco prácticas, el desarrollo de aplicaciones para VRPLC ha llamó la atención de los investigadores en los últimos años. Se han propuesto varios métodos heurísticos, pero consideran solo un grupo limitado de características prácticas que surgen en el mundo real. situaciones Este estudio propone un método heurístico híbrido basado en el Greedy Randomized Metaheurística del Procedimiento de búsqueda adaptable (GRASP) y los ahorros de Clarke y Wright algoritmo, para resolver un VRPLC con varias restricciones de carga y enrutamiento que no han sido considerado simultáneamente antes. Los resultados experimentales muestran que el procedimiento propuesto produce soluciones competitivas en cortos tiempos de procesamiento. Por último, el impacto del agregado también se analizan las limitaciones operativa