Тип публикации: статья из журнала

Год издания: 2024

Идентификатор DOI: 10.3390/app142412005

Аннотация: <jats:p>This study explored the optimization of groupage intercity delivery using a two-stage genetic algorithm (GA) framework, developed with the BaumEvA Python library. The primary objective was to minimize the transportation costs by strategically positioning regional branch warehouses within a logistics network. In the first stПоказать полностьюage, the GA selected optimal branch warehouse locations from a set of candidate cities. The second stage addressed the vehicle routing problem (VRP) by employing a combinatorial GA to optimize the delivery routes. The GA framework was designed to minimize the total costs associated with intercity and last-mile deliveries, factoring in warehouse locations, truck routes, and vehicle types for last-mile fulfillment while ensuring capacity constraints are adhered to. By solving both line haul and last-mile delivery subproblems, this solution adjusted variables related to warehouse placement, cargo volumes, truck routing, and vehicle selection. The integration of such optimization techniques into the logistics workflow allowed for streamlined operations and reduced costs.</jats:p>

Журнал: Applied Sciences (Switzerland)

Выпуск журнала: Т. 14, № 24

Номера страниц: 12005

ISSN журнала: 20763417

Издатель: MDPI AG

• Malashin Ivan P. (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Tynchenko Vadim S. (Information and Control Systems Department, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Prospekt, 660037 Krasnoyarsk, Russia)
• Masich Igor S. (Information and Control Systems Department, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Prospekt, 660037 Krasnoyarsk, Russia)
• Sukhanov Denis A. (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Ageev Daniel A. (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Nelyub Vladimir A. (Scientific Department, Far Eastern Federal University, 690922 Vladivostok, Russia)
• Gantimurov Andrei P. (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Borodulin Alexey S. (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)

• Ядро РИНЦ (eLIBRARY.RU)