Simulation-Optimization Approach for Multi-Period Facility Location Problems with Forecasted and Random Demands in a Last-Mile Logistics Application

Simulation-Optimization Approach for Multi-Period Facility Location Problems with Forecasted and Random Demands in a Last-Mile Logistics Application

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 capacita...

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Bibliographic Details
Main Authors: Markus Rabe, Jesus Gonzalez-Feliu, Jorge Chicaiza-Vaca, Rafael D. Tordecilla
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Algorithms
Subjects:
hybrid modeling
system dynamics
facility location Problems
Monte Carlo simulation
automated parcel lockers
last-mile delivery
Online Access:https://www.mdpi.com/1999-4893/14/2/41

Internet

https://www.mdpi.com/1999-4893/14/2/41

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