OPTIMIZING DISTRIBUTION WAREHOUSE LOCATION DETERMINATION USING GEOGRAPHIC INFORMATION SYSTEM (GIS) AND LOCATION-ALLOCATION MODEL METHOD TO IMPROVE SUPPLY CHAIN EFFICIENCY AND CUSTOMER SERVICE LEVELS
Optimasi Penentuan Lokasi Gudang Distribusi Menggunakan Geographic Information System (GIS) dan Metode Location-Allocation Model untuk Meningkatkan Efisiensi Rantai Pasok dan Tingkat Layanan Pelanggan
DOI:
https://doi.org/10.36526/santhet.v10i2.7627Keywords:
GIS, location-allocation, warehouse optimization, supply chain efficiency, service levelAbstract
This study aims to optimize the location of distribution warehouses by integrating Geographic Information System (GIS) and the Location-Allocation Model to improve supply chain efficiency and customer service levels. The research employs a qualitative explanatory case study approach conducted in a national distribution company planning warehouse expansion. Data were collected through in-depth interviews, participatory observation, company documentation, and spatial data extraction, followed by thematic analysis and GIS-based network analysis. The findings reveal that the existing distribution system was spatially inefficient, with 38% of customers located more than 150 km from the central warehouse, contributing to high transportation costs and suboptimal delivery performance. The implementation of the integrated GIS and location-allocation model identified an optimal scenario involving the addition of one warehouse in the eastern region, resulting in a 23% reduction in total distribution distance, a significant decrease in transportation costs, and improved delivery accuracy and lead time. The study demonstrates that spatially integrated optimization models not only enhance cost efficiency but also strengthen service level performance. The integration of quantitative spatial modeling with qualitative managerial insights provides a holistic framework for strategic distribution network design in modern logistics environments.
References
Agoo, E. M. (2024). Applications of geographic information systems (GIS) in logistics and spatial decision-making: A systematic review. ISPRS International Journal of Geo-Information, 14(1), 1–18. https://doi.org/10.3390/ijgi14010001
Alam, M. K. (2022). A systematic qualitative case study methodology in information systems research. Journal of Information Technology Research, 15(2), 1–15. https://doi.org/10.4018/JITR.20220401
Al-Sabbagh, T. A. (2022). GIS location-allocation models in improving accessibility to primary schools in Mansura city-Egypt. GeoJournal, 87(2), 1009-1026.
Bathaee, S. M., Nozari, H., & Szmelter-Jarosz, A. (2023). Location-routing optimization in closed-loop supply chains: A multi-objective mathematical modeling approach. Logistics, 7(1), 3. https://doi.org/10.3390/logistics7010003
Büyüközkan, G., & Göçer, F. (2018). Digital supply chain: Literature review and a proposed framework for future research. Computers in Industry, 97, 157–177. https://doi.org/10.1016/j.compind.2018.02.010
Campbell, S., Greenwood, M., Prior, S., Shearer, T., Walkem, K., Young, S., Bywaters, D., & Walker, K. (2020). Purposive sampling: Complex or simple? Research case examples. Journal of Research in Nursing, 25(8), 652–661. https://doi.org/10.1177/1744987120927206
Christopher, M. (2022). Logistics & supply chain management (6th ed.). Pearson.
Creswell, J. W., & Poth, C. N. (2021). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE Publications.
Erlangga, R., Zaki, M., Hermawan, T., & Fauzi, A. (2024). Optimizing warehouse location using the center of gravity method to minimize distribution costs at PT ABC. Journal of Logistics and Industrial Engineering, 6(2), 115–124.
Farahani, R. Z., Rezapour, S., & Kardar, L. (2021). Logistics network design with integration of facility location and routing decisions: Recent advances and future research directions. Transportation Research Part E, 145, 102177. https://doi.org/10.1016/j.tre.2020.102177
Geraldo, G., Rohaeni, H., & Maulia, I. R. (2025). Penentuan Lokasi Gudang Baru Dan Optimasi Rute Distribusi Untuk Meminimalisir Biaya Distribusi Pada Pt Xyz. JURNAL ILMIAH EKONOMI, MANAJEMEN, BISNIS DAN AKUNTANSI, 2(4), 731-741.
Ivanov, D., & Dolgui, A. (2020). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 31(2–3), 1–14. https://doi.org/10.1080/09537287.2019.1622059
Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775–788. https://doi.org/10.1080/09537287.2020.1768450
Kumar, A., Singh, R. K., & Modgil, S. (2022). Exploring the relationship between logistics capability, supply chain resilience, and firm performance. Transportation Research Part E: Logistics and Transportation Review, 157, 102563. https://doi.org/10.1016/j.tre.2021.102563
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE Publications.
Nguyen, T. H., De Leeuw, S., & Dullaert, W. (2021). Consumer behavior and last-mile delivery in omni-channel retailing: A systematic review. International Journal of Physical Distribution & Logistics Management, 51(1), 48–72. https://doi.org/10.1108/IJPDLM-06-2019-0206
Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2021). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 20, 1–13. https://doi.org/10.1177/16094069211059306
Putra, A. R., Hidayat, Y., & Pranowo, W. (2025). GIS-based spatial analysis for regional food distribution center planning. Journal of Geospatial and Environmental Research, 12(1), 45–60.
Rahman, A., & Prasetyo, Y. T. (2022). Warehouse location optimization using gravity method to minimize transportation costs. Journal of Industrial Engineering and Management, 15(3), 412–428. https://doi.org/10.3926/jiem.3721
Snyder, L. V., & Shen, Z. J. M. (2020). Fundamentals of supply chain theory (3rd ed.). Wiley.
Snyder, L. V., & Shen, Z. M. (2019). Fundamentals of supply chain theory (2nd ed.). Wiley.
Tirkolaee, E. B., Goli, A., & Weber, G.-W. (2022). Multi-objective facility location and supply chain network design under uncertainty: A review and future research directions. Applied Mathematical Modelling, 103, 1–25. https://doi.org/10.1016/j.apm.2021.10.035
Trenggonowati, D. L., Setiawan, R., & Kusuma, H. (2024). Optimization of warehouse placement using gravity location model in small and medium enterprises. Jurnal Sistem dan Manajemen Industri, 8(1), 22–31.
World Bank. (2023). Connecting to compete 2023: Trade logistics in the global economy. World Bank Publications.
Yin, R. K. (2020). Case study research and applications: Design and methods (6th ed.). SAGE Publications.
