Development and Application of Smart Logistics Warehousing

Haiyan Wu; Shun Ye; Ru Zhao; Guanlin Zhu

doi:10.62762/TSSC.2024.808276

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Volume 1, Issue 2, IECE Transactions on Social Statistics and Computing

Volume 1, Issue 2, 2024

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Innovation college, North-Chiang Mai University, Thailand

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IECE Transactions on Social Statistics and Computing, Volume 1, Issue 2, 2024: 53-60

Free to Read | Research Article | 5 May 2024

Development and Application of Smart Logistics Warehousing

Haiyan Wu 1

Shun Ye 1

Ru Zhao 1 *

Guanlin Zhu 1

1 Software Engineering Institute of Guangzhou, Guangzhou 510990, China

* Corresponding Author: Ru Zhao, [email protected]

DOI: 10.62762/TSSC.2024.808276

Received: 12 April 2024, Accepted: 27 April 2024, Published: 5 May 2024

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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 in the development of enterprises across the country. This paper studies the development and application of warehousing under the smart logistics system by taking Guangzhou Porcelain Cosmetics Co., Ltd. as an example through the AHP method The results show that the company chooses warehouse B as the best. Finally, this paper aims at the problems existing in the warehousing system and improves them Targeted advice on warehouse storage capacity, rent reduction, and proximity to important points of sale.

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Keywords

Smart logistics

Warehouse location

Analytic Hierarchy Process

Optimization

Funding

This work was supported by the Youth Innovation Talent Project of Ordinary Universities of Guangdong Province (No. 2022WQNCX090), the Characteristic Innovation Project of Ordinary Universities of Guangdong Province (No. 2022WTSCX144), the Project of Education Science Planning of Guangdong Province (No. 2022GXJK085), and the Project of College Student Innovation and Entrepreneurship Training of Guangdong Province (No. S202312618012X).

References

Moeinaddini, M., Khorasani, N., Danehkar, A., & Darvishsefat, A. A. (2010). Siting MSW landfill using weighted linear combination and analytical hierarchy process (AHP) methodology in GIS environment (case study: Karaj). Waste management, 30(5), 912-920.
[Google Scholar]
Zhou, H. (2024). Application of Internet of Things Technology in Intelligent Warehouse Management. Industrial Engineering and Innovation Management, 7(2), 71-77.
[Google Scholar]
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.
[Google Scholar]
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.
[Google Scholar]
Zhou, J., & Lu, R. Image Recognition Technology Applied to the Design of Mobile Platform for Warehouse Logistics Robots. Applied Mathematics and Nonlinear Sciences, 9(1).
[Google Scholar]
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, 1-7.
[Google Scholar]
Tripathi, A. K., Agrawal, S., & Gupta, R. D. (2021). Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection: a case study for Prayagraj City, India. GeoJournal, 1-22.
[Google Scholar]
Meng, Q., Miao, F., Zhen, J., Wang, X., Wang, A., Peng, Y., & Fan, Q. (2016). GIS-based landslide susceptibility mapping with logistic regression, analytical hierarchy process, and combined fuzzy and support vector machine methods: a case study from Wolong Giant Panda Natural Reserve, China. Bulletin of Engineering Geology and the Environment, 75, 923-944.
[Google Scholar]
Merrouni, A. A., Elalaoui, F. E., Mezrhab, A., Mezrhab, A., & Ghennioui, A. (2018). Large scale PV sites selection by combining GIS and Analytical Hierarchy Process. Case study: Eastern Morocco. Renewable energy, 119, 863-873.
[Google Scholar]
Ajaj, Q. M., Shareef, M. A., Jasim, A. T., Hasan, S. F., Noori, A. M., & Hassan, N. D. (2019, February). An AHP-based GIS for a new hospital site selection in the Kirkuk Governorate. In 2019 2nd International Conference on Electrical, Communication, Computer, Power and Control Engineering (ICECCPCE) (pp. 176-181). IEEE.
[Google Scholar]
Lage, M. D. O., Machado, C. A. S., Monteiro, C. M., Davis Jr, C. A., Yamamura, C. L. K., Berssaneti, F. T., & Quintanilha, J. A. (2021). Using hierarchical facility location, single facility approach, and GIS in carsharing services. Sustainability, 13(22), 12704.
[Google Scholar]
Cobos Mora, S. L., & Solano Pelaez, J. L. (2020). Sanitary landfill site selection using multi-criteria decision analysis and analytical hierarchy process: A case study in Azuay province, Ecuador. Waste Management & Research, 38(10), 1129-1141.
[Google Scholar]
Mohajeri, N., & Amin, G. R. (2010). Railway station site selection using analytical hierarchy process and data envelopment analysis. Computers & Industrial Engineering, 59(1), 107-114.
[Google Scholar]
Ortega, J., Moslem, S., Tóth, J., & Ortega, M. (2023). A two-phase decision making based on the grey analytic hierarchy process for evaluating the issue of park-and-ride facility location. Journal of Urban Mobility, 3, 100050.
[Google Scholar]
Kim, G., Jeong, M. H., Jeon, S. B., Lee, T. Y., Oh, H. Y., & Park, C. S. (2021). Determination of optimal locations for offshore wind farms using the analytical hierarchy process. Journal of Coastal Research, 114(SI), 439-443.
[Google Scholar]
Ozegin, K. O., Ilugbo, S. O., & Ogunseye, T. T. (2023). Groundwater exploration in a landscape with heterogeneous geology: An application of geospatial and analytical hierarchical process (AHP) techniques in the Edo north region, in Nigeria. Groundwater for Sustainable Development, 20, 100871.
[Google Scholar]
Silva López, J. O., Salas López, R., Rojas Briceño, N. B., Gómez Fernández, D., Terrones Murga, R. E., Iliquín Trigoso, D., ... & Barrena Gurbillón, M. Á. (2022). Analytic Hierarchy Process (AHP) for a Landfill Site Selection in Chachapoyas and Huancas (NW Peru): Modeling in a GIS-RS Environment. Advances in Civil Engineering, 2022(1), 9733322.
[Google Scholar]
Cobos-Mora, S. L., Guamán-Aucapiña, J., & Zúñiga-Ruiz, J. (2023). Suitable site selection for transfer stations in a solid waste management system using analytical hierarchy process as a multi-criteria decision analysis: a case study in Azuay-Ecuador. Environment, Development and Sustainability, 25(2), 1944-1977.
[Google Scholar]
Thampi, L., Balakrishnan, A., Muhsena, P. M., Nelson, S. G., Lulu, T. M., Jayan, V., & Gini, E. J. (2022). Selection of suitable dosage form in the treatment and management for onychomycosis by implementing analytical hierarchy process. Research Journal of Pharmacy and Technology, 15(8), 3563-3570.
[Google Scholar]
Ayodele, T. R., Ogunjuyigbe, A. S. O., Odigie, O., & Munda, J. L. (2018). A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria. Applied energy, 228, 1853-1869.
[Google Scholar]
Ahadi, P., Fakhrabadi, F., Pourshaghaghy, A., & Kowsary, F. (2023). Optimal site selection for a solar power plant in Iran via the Analytic Hierarchy Process (AHP). Renewable Energy, 215, 118944.
[Google Scholar]

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APA Style

Wu, H., Ye, S., Zhao, R., & Zhu, G. (2024). Development and Application of Smart Logistics Warehousing. Transactions on Social Statistics and Computing, 1(2), 22–29. https://doi.org/10.62762/TSSC.2024.808276

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