Evaluasi Kinerja Gudang sebelum dan setelah Perancangan Ulang Tata Letak: Studi pada PT Asta Nadi Karya Utama
DOI:
https://doi.org/10.51903/sjgt6462Keywords:
warehouse layout, operational performance, before-after analysis, warehouse management, logistics efficiencyAbstract
This study aims to evaluate the effectiveness of warehouse layout redesign on operational performance at PT Asta Nadi Karya Utama. The research method employs a quantitative approach with a before-after comparative analysis design. Data were collected through structured observation and performance measurements of 30 sample items during August–September 2025. Statistical analysis results show significant improvements in all performance indicators: item retrieval time decreased by 64.4% (from 8.03 minutes to 2.86 minutes, p < 0.001, d = 2.16), inventory accuracy increased by 20.0% (from 78.5% to 94.2%, p < 0.001, d = 1.32), vertical space utilization increased by 106.8% (from 35.2% to 72.8%, p < 0.001, d = 2.15), and operator productivity increased by 127.4% (from 18.6 to 42.3 items/hour, p < 0.001, d = 1.67). These findings confirm that layout redesign through zoning system implementation and vertical space optimization significantly improves warehouse operational efficiency.
References
[1] W. Adiprasetyo, I. Adriant, Y. Sunardhi, and H. Alhafidz, "Dynamic system simulation modeling to increase profits in MSMEs (Case Study: Ciracas Bread House)," J. Econ. Soc. Sci. (JESS), 2025.
[2] W. Adiprasetyo and R. Prasetyo, "Analisis kinerja rantai pasok menggunakan metode Supply Chain Operations Reference (SCOR)," IdeaLogist J., 2023.
[3] warehouse layout using dedicated storage method: Case study at PT Astra Honda Motor warehouse,” Metode: Jurnal Teknik dan Desain, UM Sorong, 2025.
[4] J. J. Bartholdi and S. T. Hackman, Warehouse & Distribution Science, Release 0.98. Supply Chain and Logistics Institute, 2019. [Online]. Available: https://www.warehouse-science.com
[5] L. Chen, Y. Wang, and J. Zhang, “The impact of zone picking systems on warehouse operational efficiency: Evidence from Chinese logistics centers,” International Journal of Production Economics, vol. 258, pp. 108–120, 2023, doi: 10.1016/j.ijpe.2023.108120.
[6] J. Cohen, Statistical Power Analysis for the Behavioral Sciences, 2nd ed. New York: Routledge, 2020.
[7] J. W. Creswell and J. D. Creswell, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 6th ed. Thousand Oaks, CA: SAGE Publications, 2023.
[8] Y. Chen and Y. Li, “Storage location assignment for improving human robot collaborative order picking efficiency,” Sustainability, vol. 16, no. 5, p. 1742, 2024, doi: 10.3390/su16051742.
[9] R. de Koster, T. Le-Duc, and K. J. Roodbergen, “Design and control of warehouse order picking: A literature review,” European Journal of Operational Research, vol. 305, no. 2, pp. 501–520, 2023, doi: 10.1016/j.ejor.2022.08.002.
[10] E. H. Frazelle, World-Class Warehousing and Material Handling, 2nd ed. New York: McGraw-Hill Education, 2020.
[11] J. Gu, M. Goetschalckx, and L. F. McGinnis, “Research on warehouse design and performance evaluation: A comprehensive review,” European Journal of Operational Research, vol. 293, no. 1, pp. 1–20, 2021, doi: 10.1016/j.ejor.2020.12.007.
[12] S. Kumar and R. Kumar, “Optimization of warehouse operations through lean principles: A case study,” Journal of Operations and Supply Chain Management, vol. 15, no. 1, pp. 45–58, 2022, doi: 10.12660/joscmv15n1p45-58.
[13] F. Maulidia, “Perancangan ulang tata letak fasilitas gudang untuk meningkatkan efisiensi operasional: Studi kasus di PLTU XYZ,” INTEGRATE: Industrial Engineering and Management System, vol. 9, no. 2, pp. 393–401, 2025.
[14] F. E. Meyers and M. P. Stephens, Manufacturing Facilities Design and Material Handling, 6th ed. West Lafayette: Purdue University Press, 2022.
[15] M. Napolitano, Metrics in Warehousing and Distribution: The Definitive Guide to Warehouse Performance, 3rd ed. Warehousing Education and Research Council, 2020.
[16] P. R. M. Nazariah, E. Taqwali, and H. Okitasari, “Optimizing fabric storage using dedicated storage for order picking efficiency: Arena simulation at PT. ABC,” Journal of Advances in Information and Industrial Technology, vol. 6, no. 2, pp. 183–194, 2024, doi: 10.52435/jaiit.v6i2.631.
[17] G. Richards, Warehouse Management: A Complete Guide to Improving Efficiency and Minimizing Costs in the Modern Warehouse, 3rd ed. London: Kogan Page, 2021.
[18] B. Rouwenhorst, B. Reuter, V. Stockrahm, G. J. van Houtum, R. J. Mantel, and W. H. Zijm, “Warehouse design and control: Framework and literature review,” European Journal of Operational Research, vol. 122, no. 3, pp. 515–533, 2000, doi: 10.1016/S0377-2217(99)00020-X.
[19] J. A. Tompkins, J. A. White, Y. A. Bozer, and J. M. A. Tanchoco, Facilities Planning, 5th ed. Hoboken, NJ: Wiley, 2021.
[20] M. A. Yerlikaya and F. Arıkan, “A novel framework for production planning and class based storage location assignment: Multi-criteria classification approach,” Heliyon, vol. 10, no. 18, p. e37351, 2024.
[21] Y. Zhang, X. Wang, and H. Li, “Class-based storage location assignment in distribution warehouses: A case study,” Journal of Intelligent Manufacturing, vol. 33, no. 4, pp. 1123–1135, 2022, doi: 10.1007/s10845-020-01715-6.
[22] X. Zhou et al., “Data-driven simulation methodology for exploring optimal storage location assignment scheme in warehouses,” Computers & Industrial Engineering, vol. 198, p. 110627, 2024, doi: 10.1016/j.cie.2024.110627.
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