A Two-Stage Model with an Improved Clustering Algorithm for a Distribution Center Location Problem under Uncertainty
Distribution centers are quite important for logistics. In order to save costs, reduce energy consumption and deal with increasingly uncertain demand, it is necessary for distribution centers to select the location strategically. In this paper, a two-stage model based on an improved clustering algor...
Main Authors: | Jun Wu, Xin Liu, Yuanyuan Li, Liping Yang, Wenyan Yuan, Yile Ba |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/14/2519 |
Similar Items
-
Red–Blue <i>k</i>-Center Clustering with Distance Constraints
by: Marzieh Eskandari, et al.
Published: (2023-02-01) -
Optimization of the Weighted Multi-Facility Location Problem Using MS Excel
by: Petr Němec, et al.
Published: (2021-06-01) -
Optimizing Police Facility Locations Based on Cluster Analysis and the Maximal Covering Location Problem
by: Bruno Ferreira da Costa Borba, et al.
Published: (2022-07-01) -
Optimization of the Multi-Facility Location Problem Using Widely Available Office Software
by: Petr Němec, et al.
Published: (2021-03-01) -
Maximum covering location problem to select facility location for operation timbang in the City of Iloilo, Philippines
by: Anak Agung Ngurah Perwira Redi, et al.
Published: (2022-12-01)