Development and Application of Smart Logistics Warehousing
Research Article  ·  Published: 5 May 2024
Issue cover
Journal of Social Systems and Policy Analysis
Volume 1, Issue 2, 2024: 53-60
Research Article Open Access

Development and Application of Smart Logistics Warehousing

1 Software Engineering Institute of Guangzhou, Guangzhou 510990, China
* Corresponding Author: Ru Zhao, [email protected]
Volume 1, Issue 2

Article Information

Abstract

With the rapid development of the economy, the gradual formation of the logistics Internet and the advent of the era of science and technology have promoted the rapid rise of the logistics industry. This paper studies the development and application of smart warehousing under the smart logistics system by taking Guangzhou Porcelain Cosmetics Co., Ltd. as an example and using the Analytic Hierarchy Process (AHP). The results show that the company chooses warehouse B as the best location. Finally, this paper identifies the existing problems in the warehousing system and provides targeted suggestions on improving warehouse storage capacity, reducing rent, and enhancing proximity to important sales points.

Graphical Abstract

Development and Application of Smart Logistics Warehousing

Keywords

smart logistics warehouse location analytic hierarchy process optimization

Data Availability Statement

Data will be made available on request.

Funding

This work was supported in part by the Youth Innovation Talent Project of Ordinary Universities of Guangdong Province under Grant 2022WQNCX090; in part by the Characteristic Innovation Project of Ordinary Universities of Guangdong Province under Grant 2022WTSCX144; in part by the Project of Education Science Planning of Guangdong Province under Grant 2022GXJK085; in part by the Project of College Student Innovation and Entrepreneurship Training of Guangdong Province under Grant S202312618012X.

Conflicts of Interest

The authors declare no conflicts of interest.

Ethical Approval and Consent to Participate

Not applicable.

References

  1. Korpela, J., & Tuominen, M. (1996). A decision aid in warehouse site selection. International journal of production economics, 45(1-3), 169-180.
    [CrossRef] [Google Scholar]
  2. Affia, I., & Aamer, A. (2022). An internet of things-based smart warehouse infrastructure: design and application. Journal of Science and Technology Policy Management, 13(1), 90-109.
    [CrossRef] [Google Scholar]
  3. Anoop, K. P., Panicker, V. V., Das, A. S., Abhishek, T., Vadlamani, P. S., & Akhil, U. S. (2020). Simulation modelling and analysis of warehouse operations in a food grain supply chain. International Journal of Logistics Systems and Management, 37(4), 465-487.
    [CrossRef] [Google Scholar]
  4. Oner, M., Budak, A., & Ustundag, A. (2017). RFID-based warehouse management system in wool yarn industry. International Journal of RF Technologies, 8(4), 165-189.
    [CrossRef] [Google Scholar]
  5. Culler, D., & Long, J. (2016). A prototype smart materials warehouse application implemented using custom mobile robots and open source vision technology developed using emgucv. Procedia Manufacturing, 5, 1092-1106.
    [CrossRef] [Google Scholar]
  6. Ouyang, Q., Zheng, J., & Wang, S. (2019). Investigation of the construction of intelligent logistics system from traditional logistics model based on wireless network technology. EURASIP Journal on Wireless Communications and Networking, 2019(1), 20.
    [CrossRef] [Google Scholar]
  7. Bottani, E., & Rizzi, A. (2008). Economical assessment of the impact of RFID technology and EPC system on the fast-moving consumer goods supply chain. International journal of production economics, 112(2), 548-569.
    [CrossRef] [Google Scholar]
  8. Rao, S., & Goldsby, T. J. (2009). Supply chain risks: a review and typology. The international journal of logistics management, 20(1), 97-123.
    [CrossRef] [Google Scholar]
  9. van Geest, M., Tekinerdogan, B., & Catal, C. (2021). Smart warehouses: Rationale, challenges and solution directions. Applied sciences, 12(1), 219.
    [CrossRef] [Google Scholar]
  10. De Koster, R., Le-Duc, T., & Roodbergen, K. J. (2007). Design and control of warehouse order picking: A literature review. European journal of operational research, 182(2), 481-501.
    [CrossRef] [Google Scholar]
  11. Gu, J., Goetschalckx, M., & McGinnis, L. F. (2010). Research on warehouse design and performance evaluation: A comprehensive review. European journal of operational research, 203(3), 539-549.
    [CrossRef] [Google Scholar]
  12. Özcan, T., Çelebi, N., & Esnaf, Ş. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38(8), 9773-9779.
    [CrossRef] [Google Scholar]
  13. Awasthi, A., Chauhan, S. S., & Goyal, S. K. (2011). A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty. Mathematical and computer modelling, 53(1-2), 98-109.
    [CrossRef] [Google Scholar]
  14. Fan, S. (2024). Influencing factors and countermeasures on intelligent transformation and upgrading of logistics firms: A case study in China. Plos one, 19(4), e0297663.
    [CrossRef] [Google Scholar]
  15. Chan, F. T., & Chung, S. H. (2004). A multi-criterion genetic algorithm for order distribution in a demand driven supply chain. International Journal of Computer Integrated Manufacturing, 17(4), 339-351.
    [CrossRef] [Google Scholar]
  16. Lim, M. K., Bahr, W., & Leung, S. C. (2013). RFID in the warehouse: A literature analysis (1995–2010) of its applications, benefits, challenges and future trends. International Journal of Production Economics, 145(1), 409-430.
    [CrossRef] [Google Scholar]
  17. Min, H. (2023). Smart Warehousing as a Wave of the Future. Logistics, 7(2), 30.
    [CrossRef] [Google Scholar]
  18. Zhen, L., & Li, H. (2022). A literature review of smart warehouse operations management. Frontiers of Engineering Management, 9(1), 31-55.
    [CrossRef] [Google Scholar]
  19. Ballou, R. H. (2007). The evolution and future of logistics and supply chain management. European business review, 19(4), 332-348.
    [CrossRef] [Google Scholar]
  20. Mangiaracina, R., Song, G., & Perego, A. (2015). Distribution network design: a literature review and a research agenda. International Journal of Physical Distribution & Logistics Management, 45(5), 506-531.
    [CrossRef] [Google Scholar]
  21. Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of operational research, 169(1), 1-29.
    [CrossRef] [Google Scholar]

Cite This Article

APA Style
Wu, H., Ye, S., Zhao, R., & Zhu, G. (2024). Development and Application of Smart Logistics Warehousing. Journal of Social Systems and Policy Analysis, 1(2), 53–60. https://doi.org/10.62762/JSSPA.2024.808276
Export Citation
RIS Format
Compatible with EndNote, Zotero, Mendeley, and other reference managers
TY  - JOUR
AU  - Wu, Haiyan
AU  - Ye, Shun
AU  - Zhao, Ru
AU  - Zhu, Guanlin
PY  - 2024
DA  - 2024/05/05
TI  - Development and Application of Smart Logistics Warehousing
JO  - Journal of Social Systems and Policy Analysis
T2  - Journal of Social Systems and Policy Analysis
JF  - Journal of Social Systems and Policy Analysis
VL  - 1
IS  - 2
SP  - 53
EP  - 60
DO  - 10.62762/JSSPA.2024.808276
UR  - https://www.icck.org/article/abs/JSSPA.2024.808276
KW  - smart logistics
KW  - warehouse location
KW  - analytic hierarchy process
KW  - optimization
AB  - With the rapid development of the economy, the gradual formation of the logistics Internet and the advent of the era of science and technology have promoted the rapid rise of the logistics industry. This paper studies the development and application of smart warehousing under the smart logistics system by taking Guangzhou Porcelain Cosmetics Co., Ltd. as an example and using the Analytic Hierarchy Process (AHP). The results show that the company chooses warehouse B as the best location. Finally, this paper identifies the existing problems in the warehousing system and provides targeted suggestions on improving warehouse storage capacity, reducing rent, and enhancing proximity to important sales points.
SN  - 3068-5540
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 
BibTeX Format
Compatible with LaTeX, BibTeX, and other reference managers
@article{Wu2024Developmen,
  author = {Haiyan Wu and Shun Ye and Ru Zhao and Guanlin Zhu},
  title = {Development and Application of Smart Logistics Warehousing},
  journal = {Journal of Social Systems and Policy Analysis},
  year = {2024},
  volume = {1},
  number = {2},
  pages = {53-60},
  doi = {10.62762/JSSPA.2024.808276},
  url = {https://www.icck.org/article/abs/JSSPA.2024.808276},
  abstract = {With the rapid development of the economy, the gradual formation of the logistics Internet and the advent of the era of science and technology have promoted the rapid rise of the logistics industry. This paper studies the development and application of smart warehousing under the smart logistics system by taking Guangzhou Porcelain Cosmetics Co., Ltd. as an example and using the Analytic Hierarchy Process (AHP). The results show that the company chooses warehouse B as the best location. Finally, this paper identifies the existing problems in the warehousing system and provides targeted suggestions on improving warehouse storage capacity, reducing rent, and enhancing proximity to important sales points.},
  keywords = {smart logistics, warehouse location, analytic hierarchy process, optimization},
  issn = {3068-5540},
  publisher = {Institute of Central Computation and Knowledge}
}

Article Metrics

Citations
Crossref
0
Scopus
0
Views
3430
PDF Downloads
1042

Publisher's Note

ICCK stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and Permissions

CC BY Copyright © 2024 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
Journal of Social Systems and Policy Analysis
Journal of Social Systems and Policy Analysis
ISSN: 3068-5540 (Online)
Portico
Preserved at
Portico