Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10609/147212
Título : Simulation-Optimization Approach for Multi-Period Facility Location Problems with Forecasted and Random Demands in a Last-Mile Logistics Application
Autoría: Rabe, Markus  
Gonzalez-Feliu, Jesus  
Chicaiza Vaca, Jorge Luis  
Tordecilla, Rafael D.  
Otros: TU Dortmund University
Excelia Business School
Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)
Universidad de La Sabana
Citación : Rabe, M., Gonzalez-Feliu, J., Chicaiza-Vaca, J. & Tordecilla, R. (2021). Simulation-Optimization Approach for Multi-Period Facility Location Problems with Forecasted and Random Demands in a Last-Mile Logistics Application. Algorithms, 14(2), 1-18. doi: 10.3390/a14020041
Resumen : The introduction of automated parcel locker (APL) systems is one possible approach to improve urban logistics (UL) activities. Based on the city of Dortmund as case study, we propose a simulation-optimization approach integrating a system dynamics simulation model (SDSM) with a multi-period capacitated facility location problem (CFLP). We propose this integrated model as a decision support tool for future APL implementations as a last-mile distribution scheme. First, we built a causal-loop and stock-flow diagram to show main components and interdependencies of the APL systems. Then, we formulated a multi-period CFLP model to determine the optimal number of APLs for each period. Finally, we used a Monte Carlo simulation to estimate the costs and reliability level with random demands. We evaluate three e-shopper rate scenarios with the SDSM, and then analyze ten detailed demand configurations based on the results for the middle-size scenario with our CFLP model. After 36 months, the number of APLs increases from 99 to 165 with the growing demand, and stabilizes in all configurations from month 24. A middle-demand configuration, which has total costs of about 750,000€, already locates a suitable number of APLs. If the budget is lower, our approach offers alternatives for decision-makers.
Palabras clave : modelado híbrido
dinámica de sistemas
problemas de ubicación de instalaciones
simulación de montecarlo
taquillas automáticas para paquetes
entrega de último kilómetro
DOI: https://doi.org/10.3390/a14020041
Tipo de documento: info:eu-repo/semantics/article
Versión del documento: info:eu-repo/semantics/publishedVersion
Fecha de publicación : 28-ene-2021
Licencia de publicación: https://creativecommons.org/licenses/by/4.0/  
Aparece en las colecciones: Articles
Articles cientÍfics

Comparte:
Exporta:
Consulta las estadísticas

Los ítems del Repositorio están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.