A Continuum Approximation Approach to the Dynamic Facility Location Problem in a Growing Market-Reference-Cited by-同舟云学术

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A Continuum Approximation Approach to the Dynamic Facility Location Problem in a Growing Market

Published:2017-02 Issue:1 Volume:51 Page:343-357
ISSN:0041-1655
Container-title:Transportation Science
language:en
Short-container-title:Transportation Science

Author:

Wang Xin¹,Lim Michael K.²,Ouyang Yanfeng³

Affiliation:

1. Department of Industrial and Systems Engineering and Grainger Institute for Engineering, University of Wisconsin–Madison, Madison, Wisconsin 53706

2. Department of Business Administration, University of Illinois at Urbana–Champaign, Champaign, Illinois 61820

3. Department of Civil and Environmental Engineering, University of Illinois at Urbana–Champaign, Urbana, Illinois 61801

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Transportation,Civil and Structural Engineering

Link

https://pubsonline.informs.org/doi/pdf/10.1287/trsc.2015.0649

Reference31 articles.

1. Facility location dynamics: An overview of classifications and applications

2. Minimum-Cost Load-Balancing Partitions

3. Minkowski-Type Theorems and Least-Squares Clustering

4. Dynamic Warehouse Location Analysis

5. Alternative fuel station location model with demand learning

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1. A responsive closed-loop supply chain network design under demand uncertainty;Computers & Industrial Engineering;2024-06

2. Research on dynamic facility location-allocation considering maintenance stations in agriculture;2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA);2023-08-18

3. Optimal bike allocations in a competitive bike sharing market;Journal of Cleaner Production;2023-01

4. A linear-time crystal-growth algorithm for discretization of continuum approximation;Transportation Research Part E: Logistics and Transportation Review;2022-05

5. A novel two-echelon hierarchical location-allocation-routing optimization for green energy-efficient logistics systems;Annals of Operations Research;2021-11-20

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