The center of gravity (COG) approach is crucial in streamlining the logistics distribution channels by reducing transportation expenses and improving performance. This paper discusses the use of the COG method in the identification of the most optimal distribution center locations in a network of logistics. To determine the level of effectiveness of different methodologies used in enhancing the efficiency of the delivery process, the study employs a comparative analysis of different methodologies such as the COG method and the Analytical Hierarchy Process (AHP). The findings show that COG approach will lead to a potential decrease of transportation distances by 80 % and the cost of transportation will greatly decrease. Furthermore, the usage of COG led to the growth of profits of businesses by 80 %, and this indicates that it could be used to enhance profitability by strategically locating distribution centers. The analysis also proves that the COG technique saves time in the delivery period as it maximizes the proximity of the facilities thus improving customer satisfaction. In addition, the paper investigates the relevance of the method to emergency logistics problems, including disaster evacuation planning, in which access to important facilities is crucial. The paper will highlight the relevance of data-driven solutions such as COG in the optimization of logistics and provide a clear advantage to businesses in all kinds of fields, including retail and emergency response. The results are strong statistical support of the effectiveness of the method and its usefulness in commercial and emergency logistics.
Hanh V, Nga H, N. Study on Transportation Logistics Industry development under economics: The case of HCM, Vietnam. Revista Facultad de Ingeniería Universidad de Antioquia. 2023;89–107.
2.
Mafla I, Escobar J. Redesign of a supply chain optimization for a group of companies which belong to a multinational holding by considering variability of the demand. 2015;(1):37–48.
3.
Jardas M, Krljan T, Perić Hadžić A, Grubišić N. Distribution center logistics optimization model – City of Rijeka case study. Pomorstvo. 2020;34(1):185–94.
4.
Ortega C, Á, García G, P. Modelización automática de problemas de redes de distribución mediante tecnología JAVA.
5.
Peña-Orozco D, Villamil U, J, Valencia G, L. Diseño de una red logística para una comercializadora ferretera en el centro del Valle del Cauca. Entramado. 2016;(1):304–30.
6.
Riveros D, Silva P. Importancia de la administración logística. Scientia et technica. 2008;1–38.
7.
Margana R, Nurazis Y, Prima A, Wineka F, Mariza T. Determination of Distribution Center Location in Xyz Small and Medium Enterprise (Sme) Using Center of Gravity Method. Turkish Journal of Computer and Mathematics Education. 2021;(11):1462–9.
8.
Sutaji S, Hasibuan S. Determination of distribution center location for paper packaging using Center of Gravity method and Analytical Hierarchy Process. 2021;
9.
Chapelle C, Ollier E, Bonjean P, Locher C, Zufferey PJ, Cucherat M, et al. Replication of systematic reviews: is it to the benefit or detriment of methodological quality? Journal of Clinical Epidemiology. 2023;162:98–106.
10.
Gámez-Albán HM, Mejía-Argueta C, León Espinosa de los Monteros RA. Diseño de una red de distribución a través de un modelo de optimización considerando agotados. Ingeniare Revista chilena de ingeniería. 2017;25(4):619–32.
11.
Li J, Wang T, Tang S, Jiang J, Chen S. Planning distribution network using the multi-agent game and distribution system operators. Frontiers in Energy Research. 2023;11.
12.
Chen. 2013;
13.
Chen W. Location of Logistics Center Planning of Changzhutan Based on Center-of-Gravity Method. Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013). Atlantis Press; 2013.
14.
Uysal H, Yavuz K. Selection of logistics centre location via ELECTRE method: A case study in Turkey. International Journal of Business and Social Science. 2014;(9):276–89.
15.
Ahmad N, Sari T, Purba A. Analysis of Location and Decision-Making of Fleet Vehicle Type with Cvrp Multi Trip and Gravity Location Model for Operational Cost Efficiency (Case Study CV. XYZ, Wonoayu-Sidoarjo). Jurnal IPTEK. 2023;(1):1–2.
16.
Nichiporuk A, Kartashova O, Gancherenok I. Methodology for determining the optimal territorial location of transport and logistics terminals on river transport. Scientific problems of water transport. 2022;
17.
Nichiporuk AO, Kartashova OI, Gancherenok II. Methodology for determining the optimal territorial location of transport and logistics terminals on river transport. Russian Journal of Water Transport. 2022;(73):148–59.
18.
Wiedemann R, Sawicka H. The Redesign Methodology of a Transportation Network. Lecture Notes in Networks and Systems. Springer International Publishing; 2021. p. 1–22.
19.
Maneengam A, Udomsakdigool A. The Impacts of the Cross-Chain Collaboration Center Model on Transportation Performance: A Case Study of a Bulk Transportation Network in Thailand. IEEE Access. 2022;10:59544–63.
20.
Rachmawati N, Kurniawan A, Iskandar Y, Nikmah K, Sembring M, Riyanto T, et al. Network Optimization Design to Reduce Lost Sales Risk on Supply Chain: A Case Study of Furniture Product. Proceedings of the 1st International Conference on Contemporary Risk Studies, ICONIC-RS 2022, 31 March-1 April 2022, South Jakarta, DKI Jakarta, Indonesia. EAI; 2022.
21.
Iskandar YA, Rachmawati NL, Kurniawan AC, Kurniawan RP, Sudiar MR, Ramadhan D, et al. Determining Distribution Center Locations to Optimize Food Supply Chain Integration (A Case Study of an Agribusiness Company in Indonesia). Majalah Ilmiah Bijak. 2023;20(1):1–13.
22.
23.
24.
25.
Pečený L, Meško P, Kampf R, Gašparík J. Optimisation in Transport and Logistic Processes. Transportation Research Procedia. 2020;44:15–22.
26.
Singh RK, Chaudhary N, Saxena N. Selection of warehouse location for a global supply chain: A case study. IIMB Management Review. 2018;30(4):343–56.
27.
Novokshonov NA, Mochalin SM, Eychler IA, Larin AN, Larina IV. Investigating the Impact of Transport Performance Characteristics on the Transport and Warehouse System Efficiency. Transportation Research Procedia. 2023;68:138–45.
28.
Guo Y, Matsuda T. Study on the multi-criteria location decision of wide-area distribution centers in pre-disaster: Case of an earthquake in the Kanto district of Japan. Asian Transport Studies. 2023;9:100107.
29.
Cempírek V, Stopka O, Meško P, Dočkalíková I, Tvrdoň L. Design of Distribution Centre Location for Small E-shop Consignments Using the Clark-Wright Method. Transportation Research Procedia. 2021;53:224–33.
30.
Samá-Muñoz D, Ortega-Uncal L, Valle-Duarte O. La gestión de almacén: su análisis en Centro de Distribución de Medicamentos. Ciencias Holguín. 2022;(2).
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