|Table of Contents|

[1] Han Xun, Zhang Jin, Zeng Qian, et al. Competitive location problem of multi-level pickup pointconsidering cooperative coverage [J]. Journal of Southeast University (English Edition), 2019, 35 (1): 111-117. [doi:10.3969/j.issn.1003-7985.2019.01.016]
Copy

Competitive location problem of multi-level pickup pointconsidering cooperative coverage()
Share:

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
35
Issue:
2019 1
Page:
111-117
Research Field:
Economy and Management
Publishing date:
2019-03-30

Info

Title:
Competitive location problem of multi-level pickup pointconsidering cooperative coverage
Author(s):
Han Xun1 Zhang Jin1 2 Zeng Qian3
1 School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
2 National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031,
Keywords:
pickup point cooperative coverage multi-level facility layout competitive conditions genetic algorithm
PACS:
F270;F224.3;C931
DOI:
10.3969/j.issn.1003-7985.2019.01.016
Abstract:
To occupy a greater market share in terminal distribution, companies are urged to make full use of cooperative coverage formed with brand effect and information sharing in the layout of pickup points. Based on the diversity of pickup points, the piecewise function, signal intensity function and probability function are introduced. Meanwhile, considering the effect of distance satisfaction and cooperation coverage on customer behavior, the location model of the pickup point under competitive environments is established. The genetic algorithm is used to solve the problem, and the effectiveness of the model and algorithm is verified by a case. The results show that the sensitivity of weighted demand coverages to budget decreases gradually. The maximum weighted demand coverage increases at first and then decreases with the increase of the signal threshold, and there is a positive correlation with the change of the actual demand coverage to the senior customers, but it is negatively related to the intermediate and primary customers. When the number of high-level pickup points in a competitive enterprise is small, the advantage of the target enterprise is more significant. Through comparison, the cooperative coverage model is better than the non-cooperative coverage model, in terms of the weighted demand coverage, the construction cost and the attention paid to the important customers.

References:

[1] Yang J, Lu W. Research on location and distribution of multi-grade capacity under low carbon policy[J]. Chinese Journal of Management Science, 2014, 22(5):51-60.(in Chinese)
[2] Marianov V, Serra D. Hierarchical location-allocation models for congested systems[J].European Journal of Operational Research, 2001, 135(1): 195-208. DOI:10.1016/s0377-2217(00)00314-3.
[3] Chen Y Y, Zhang J, Chen Y H, et al. Research on pickup point location based on customers’ bounded rationality[J]. Industrial Engineering and Management, 2015, 20(6): 92-100. DOI:10.3969/j.issn.1007-5429.2015.06.014. (in Chinese)
[4] Han X, Wang K. Two-stage layout optimization model for multi-level pickup point[C]// 3rd International Conference on Intelligent Transportation Engineering. Singapore, 2018: 6-12.
[5] Arrondo A G, Fernández J, Redondo J L, et al. An approach for solving competitive location problems with variable demand using multicore systems[J].Optimization Letters, 2014, 8(2): 555-567. DOI:10.1007/s11590-012-0596-z.
[6] Biesinger B, Hu B, Raidl G. Models and algorithms for competitive facility location problems with different customer behavior[J].Annals of Mathematics and Artificial Intelligence, 2016, 76(1/2): 93-119. DOI:10.1007/s10472-014-9448-0.
[7] Plastria F. Static competitive facility location: An overview of optimisation approaches[J].European Journal of Operational Research, 2001, 129(3): 461-470. DOI:10.1016/s0377-2217(00)00169-7.
[8] Plastria F. Four-point Fermat location problems revisited. New proofs and extensions of old results[J].IMA Journal of Management Mathematics, 2006, 17(4): 387-396. DOI:10.1093/imaman/dpl007.
[9] Berman O, Drezner Z, Krass D. Cooperative cover location problems: The planar case[J].IIE Transactions, 2009, 42(3): 232-246. DOI:10.1080/07408170903394355.
[10] Li X P, Ramshani M, Huang Y. Cooperative maximal covering models for humanitarian relief chain management[J].Computers & Industrial Engineering, 2018, 119: 301-308. DOI:10.1016/j.cie.2018.04.004.
[11] Han X, Zhang J, Chen Y Y. Multi-level pickup point location based on customer demand heterogeneity[J]. Industrial Engineering and Management, 2017, 22(4): 23-29, 39. DOI:10.19495/j.cnki.1007-5429.2017.04.004. (in Chinese)
[12] Morganti E, Dablanc L, Fortin F. Final deliveries for online shopping: The deployment of pickup point networks in urban and suburban areas[J].Research in Transportation Business & Management, 2014, 11: 23-31. DOI:10.1016/j.rtbm.2014.03.002.

Memo

Memo:
Biographies: Han Xun(1991— ), female, Ph.D. candidate; Zhang Jin(corresponding author), male, doctor, professor, zhjswjtu@swjtu.edu.cn.
Foundation item: The National Social Science Foundation of China(No.16CGL018).
Citation: Han Xun, Zhang Jin, Zeng Qian. Competitive location problem of multi-level pickup point considering cooperative coverage[J].Journal of Southeast University(English Edition), 2019, 35(1):111-117.DOI:10.3969/j.issn.1003-7985.2019.01.016.
Last Update: 2019-03-20