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http://hdl.handle.net/10609/147212
Title: | Simulation-Optimization Approach for Multi-Period Facility Location Problems with Forecasted and Random Demands in a Last-Mile Logistics Application |
Author: | Rabe, Markus Gonzalez-Feliu, Jesus Chicaiza Vaca, Jorge Luis Tordecilla, Rafael D. |
Others: | TU Dortmund University Excelia Business School Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3) Universidad de La Sabana |
Citation: | 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 |
Abstract: | 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. |
Keywords: | hybrid modeling system dynamics facility location problems monte carlo simulation automated parcel lockers last-mile delivery |
DOI: | https://doi.org/10.3390/a14020041 |
Document type: | info:eu-repo/semantics/article |
Version: | info:eu-repo/semantics/publishedVersion |
Issue Date: | 28-Jan-2021 |
Publication license: | https://creativecommons.org/licenses/by/4.0/ |
Appears in Collections: | Articles Articles cientÍfics |
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