SYSTEMATIC REVIEW FOR OPTIMIZATION OF LOCATION OF LOGISTICS OBJECTS ACCENTING THE DEVELOPMENT OF E-COMMERCE AND FACTOR COVID-19
DOI:
https://doi.org/10.46585/pc.2021.2.1724Keywords:
optimal location, e-commerce, warehouse, logistics facility, distribution centre, building performance, rating system, facility location problem, systematic review of literatureAbstract
The objective of the paper is to further elaborate on the latest research publication that focuses on the optimal location of the e-commerce logistics centres and the location of logistics centres from a demand and supply perspective in the logistics real estate market, in which e-commerce development plays a key role. The paper provides the systematic literature review of secondary data, specifically in the form of Systematic Literature Network Analysis (SLNA), relevant and quality resources on its topics, explaining the dynamics of e-commerce development, with regards to decision-making mechanisms, optimizing the location of logistics facilities such as distribution centres. or warehouses. It is possible to identify the development of qualitative, quantitative and hybrid research, in which published authors deal with the application of various methodological starting points and correlation data between the development of e-commerce and distribution centre location strategies. However, they often use methods or models with limited potential for replicability outside a geographically defined market, with many ambiguous assumptions that are debatably defined.
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References
Ayanso, A., Diaby, M. and Nair, S., 2006. Inventory rationing via drop-shipping in Internet retailing: A sensitivity analysis. European Journal of Operational Research, 171(1), pp.135-152.
Baglio, M., Perotti, S., Dallari, F. and Garagiola, E., 2019. Benchmarking logistics facilities: a rating model to assess building quality and functionality. Benchmarking: An International Journal, 27(3), pp.1239-1260.
BNP Paribas. 2021. Property Report - European Logistics Market - February 2021 | BNP Paribas Real Estate. [online] Available at: <https://www.realestate.bnpparibas.com/property-report-european-logistics-market-february-2021> [Accessed 14 October 2021].
Boysen, N., de Koster, R. and Füßler, D., 2021. The forgotten sons: Warehousing systems for brick-and-mortar retail chains. European Journal of Operational Research, 288(2), pp.361-381.
Cushman & Wakefield. 2021. Czech Republic - Industrial Q2 2021. [online] Available at: [Accessed 15 October 2021].
Demirel, T., Demirel, N. and Kahraman, C., 2010. Multi-criteria warehouse location selection using Choquet integral. Expert Systems with Applications, 37(5), pp.3943-3952.
Dong, F. and Wang, M., 2014. Research on the Impact of the Development of E-Commerce in China on the Supply and Demand for Commercial Real Estate on the Basis of Grey System Theory. Applied Mechanics and Materials, 631-632, pp.1167-1170.
Emde, S., Tahirov, N., Gendreau, M. and Glock, C., 2021. Routing automated lane-guided transport vehicles in a warehouse handling returns. European Journal of Operational Research, 292(3), pp.1085-1098.
Emeç, U., Çatay, B. and Bozkaya, B., 2016. An Adaptive Large Neighborhood Search for an E-grocery Delivery Routing Problem. Computers & Operations Research, 69, pp.109-125.
Goldsmith, K., Griskevicius, V. and Hamilton, R., 2020. Scarcity and Consumer Decision Making: Is Scarcity a Mindset, a Threat, a Reference Point, or a Journey?. Journal of the Association for Consumer Research, 5(4), pp.358-364.
Gunasekaran, A., Marri, H., McGaughey, R. and Nebhwani, M., 2002. E-commerce and its impact on operations management. International Journal of Production Economics, 75(1-2), pp.185-197.
Guthrie, C., Fosso-Wamba, S. and Arnaud, J., 2021. Online consumer resilience during a pandemic: An exploratory study of e-commerce behavior before, during and after a COVID-19 lockdown. Journal of Retailing and Consumer Services, 61, p.102570.
Heitz, A., Launay, P. and Beziat, A., 2019. Heterogeneity of logistics facilities: an issue for a better understanding and planning of the location of logistics facilities. European Transport Research Review, 11(1).
Insider Intelligence. 2021. Global Ecommerce Forecast 2021. [online] Available at: [Accessed 16 October 2021].
Kummer, S., Hribernik, M., Herold, D., Mikl, J., Dobrovnik, M. and Schoenfelder, S., 2021. The impact of courier-, express- and parcel (CEP) service providers on urban road traffic: The case of Vienna. Transportation Research Interdisciplinary Perspectives, 9, p.100278.
Kushwaha, D., Kumar, T. and Sachan, R., 2020. Solving the e-commerce logistics problem using anti-predatory NIA. International Journal of Intelligent Engineering Informatics, 8(1), p.54.
Liu, J., Liu, C., Zhang, L. and Xu, Y., 2019. Research on sales information prediction system of e-commerce enterprises based on time series model. Information Systems and e-Business Management, 18(4), pp.823-836.
M. Al Abdallah, G., A. Abou-Moghli, A. and H. Al-Thani, A., 2018. An examination of the e-commerce technology drivers in the real estate industry. Problems and Perspectives in Management, 16(4), pp.468-481.
Özmen, M. and Aydoğan, E., 2019. Robust multi-criteria decision making methodology for real life logistics center location problem. Artificial Intelligence Review, 53(1), pp.725-751.
Ponciano, J., 2021. Amazon Posts $108.5 Billion In Sales, Smashing Expectations In Best First Quarter Ever. [online] Forbes. Available at: < www.forbes.com/sites/jonathanponciano/2021/04/29/amazon-earnings-first-quarter/> [Accessed 16 October 2021].
Šebesta, M., Kolář, P., Novák, R. and Jirsák, P., 2019. Domovská stránka. [online] Mdcr.cz. Available at: < www.mdcr.cz/> [Accessed 20 October 2021].
Veeragandham, M., Patnaik, N., Tiruvaipati, R. and Guruprasad, M., 2020. Consumer Buying Behaviour towards E-Commerce during COVID-19. International Journal of Research in Engineering, Science and Management, 3(9), pp.78-82.
Viu-Roig, M. and Alvarez-Palau, E., 2020. The Impact of E-Commerce-Related Last-Mile Logistics on Cities: A Systematic Literature Review. Sustainability, 12(16), p.6492.
Wang, X., Zhan, L., Ruan, J. and Zhang, J., 2014. How to Choose “Last Mile” Delivery Modes for E-Fulfillment. Mathematical Problems in Engineering, 2014, pp.1-11.
Yang, D. and Wu, P., 2021. E-Commerce Logistics Path Optimization Based on a Hybrid Genetic Algorithm. Complexity, 2021, pp.1-10.
Yang, P., Zhao, Z. and Guo, H., 2020. Order batch picking optimization under different storage scenarios for e-commerce warehouses. Transportation Research Part E: Logistics and Transportation Review, 136, p.101897.
Zhang, D., Zhu, P. and Ye, Y., 2016. The effects of E-commerce on the demand for commercial real estate. Cities, 51, pp.106-120.
Zhang, S., Fu, L., Wang, R. and Chen, R., 2020. The Optimization of the Location of the Cargo in Three-Dimension Shelf: Employing the FP-Tree and the Artificial Fish Swarm Algorithms. Journal of Control Science and Engineering, 2020, pp.1-15.
Zhang, X., Zhou, G., Cao, J. and Wu, A., 2020. Evolving strategies of e-commerce and express delivery enterprises with public supervision. Research in Transportation Economics, 80, p.100810.
Zheng, K., Zhang, Z. and Song, B., 2020. E-commerce logistics distribution mode in big-data context: A case analysis of JD.COM. Industrial Marketing Management, 86, pp.154-162.
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Copyright (c) 2021 Filip Roubíček, Petr Kolář
This work is licensed under a Creative Commons Attribution 4.0 International License.
Accepted 2021-11-17
Published 2021-12-30