From Priority-Based Storage to Integrated Multi-Criteria Optimization: A Class-Based Storage Model Incorporating Throughput and Product Similarity

Roland Y.H. Silitonga; Trifena Charismawati

doi:10.56741/jnest.v5i03.2328

From Priority-Based Storage to Integrated Multi-Criteria Optimization: A Class-Based Storage Model Incorporating Throughput and Product Similarity

Authors

Roland Y.H. Silitonga Institut Teknologi Harapan Bangsa https://orcid.org/0000-0002-1823-5129
Trifena Charismawati Institut Teknologi Harapan Bangsa

DOI:

https://doi.org/10.56741/jnest.v5i03.2328

Keywords:

ABC Analysis, Class-Based Storage, Storage Efficiencyx, Storage Efficiency

Abstract

Warehouses without a structured storage system can lead to inefficiencies in operational activities, such as increased travel distances, longer retrieval times, and low storage space utilization. This study aims to design a more efficient warehouse layout using the Class-Based Storage (CBS) method with an approach that integrates throughput and product similarity factors in determining the priority of goods placement. The data used includes the number of Stock Keeping Units (SKUs), the frequency of incoming and outgoing goods movements, and product dimensions to calculate storage space requirements. Performance evaluation was conducted based on three main indicators: space utilization, travel distance, and operational time, analyzed simultaneously. The results indicate that the proposed layout significantly improves warehouse operational efficiency. The throughput-based alternative increased space utilization by 11.54% and reduced travel distance and time by 49.38%. Meanwhile, the alternative integrating throughput and product similarity yields the best results, with a 26.73% increase in space utilization and a 57.09% reduction in travel distance and time. The integration of these two factors results in a more structured and efficient storage grouping compared to a single-priority-based approach. Thus, this study demonstrates that a multi-criteria Class-Based Storage approach is capable of improving warehouse layout performance more comprehensively.

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Author Biographies

Roland Y.H. Silitonga, Institut Teknologi Harapan Bangsa

earned both his Master's and Doctoral degrees in Industrial Engineering and Management from Institut Teknologi Bandung, Indonesia. He is currently serving as Vice Rector at Institut Teknologi Harapan Bangsa. He has a robust professional background in quality control and production management in several manufacturing companies. He is a prolific researcher with numerous publications in national and international journals focusing on supply chain management, inventory modeling, industrial competitiveness, and managerial innovation. He also actively serves as a journal editor, peer reviewer, and conference speaker. (email: roland@ithb.ac.id).

Trifena Charismawati, Institut Teknologi Harapan Bangsa

is an undergraduate student in the Supply Chain Management Program at Institut Teknologi Harapan Bangsa, Bandung, Indonesia. Her research focuses on warehouse management, particularly warehouse layout design using the Class-Based Storage method and ABC analysis to improve operational efficiency. Her research interests include supply chain management, warehouse operations, and logistics optimization. (email: sc-22007@students.ithb.ac.id).

References

J. J. Bartholdi and S. T. Hackman, Warehouse and Distribution Science, The Supply Chain and Logistics Institute, School of Industrial and Systems Engineering, Georgia Institute of Technology, 2008. [Online]. Available: https://books.google.co.id/books?id=9tlZAQAACAAJ

J. A. Tompkins, J. A. White, Y. A. Bozer, and J. M. A. Tanchoco, Facilities planning. John Wiley & Sons, 2010.

J. Gu, M. Goetschalckx, and L. F. McGinnis, “Research on warehouse operation: A comprehensive review,” Eur. J. Oper. Res., vol. 177, no. 1, pp. 1–21, Feb. 2007, doi: 10.1016/j.ejor.2006.02.025.

D. Sri Rezeki, E. Girsang, M. Silaen, and S. R. Nasution, “Evaluation of drug storage using FIFO/FEFO methods in Royal Prima Medan Hospital pharmacy installation,” Int. J. Health Pharmaceutical (IJHP), vol. 2, no. 1, pp. 9–17, Feb. 2022, doi: 10.51601/ijhp.v2i1.8.

P.-W. Albert, M. Rönnqvist, and N. Lehoux, “Trends and new practical applications for warehouse allocation and layout design: A literature review,” SN Appl. Sci., vol. 5, no. 12, e378, Dec. 2023, doi: 10.1007/s42452-023-05608-0.

V. Tiupysheva, N. Reznik, and A. Zahorodnia, “Modern condition and direct development of warehouse logistics,” Int. J. Innov. Technol. Econ., vol. 1, no. 41, Feb. 2023, doi: 10.31435/rsglobal_ijite/30032023/7938.

N. Choernelia and A. Yohanes, “Usulan perbaikan tata letak pada gudang bahan jadi menggunakan metode class based storage (Studi kasus di PT. Garudafood Putra Putri Jaya Pati),” SITEKIN: Jurnal Sains, Teknologi dan Industri, vol. 20, no. 1, 2022, doi: 10.24014/sitekin.v20i1.18405.

R. de Koster, T. Le-Duc, and K. J. Roodbergen, “Design and control of warehouse order picking: A literature review,” Eur. J. Operational Res., vol. 182, no. 2, pp. 481-501, 2007, doi: 10.1016/j.ejor.2006.07.009.

J. I. A. Sutrisno and T. Octavia, “Implementasi sistem manajemen pergudangan dengan pendekatan class based storage dan metode ABC classification pada perusahaan farmasi,” Teknoin, vol. 29, no. 1, pp. 25–31, 2024.

S. S. Heragu, L. Du, R. J. Mantel, and P. C. Schuur, “Mathematical model for warehouse design and product allocation,” Int. J. Prod. Res., vol. 43, no. 2, pp. 327-338, 2005, doi: 10.1080/00207540412331285841.

S. Sharma, “Revisiting the shelf life constrained multi-product manufacturing problem,” Eur. J. Oper. Res., vol. 193, no. 1, pp. 129–139, Feb. 2009, doi: 10.1016/j.ejor.2007.10.045.

C. G. Petersen and G. Aase, “A comparison of picking, storage, and routing policies in manual order picking,” Int. J. Prod. Econ., vol. 92, no. 1, pp. 11–19, Nov. 2004, doi: 10.1016/j.ijpe.2003.09.006.

K. J. Roodbergen and I. F. A. Vis, “A survey of literature on automated storage and retrieval systems,” Eur. J. Oper. Res., vol. 194, no. 2, pp. 343–362, Apr. 2009, doi: 10.1016/j.ejor.2008.01.038.

E. A. Rahayu and R. Y. H. Silitonga, “Perbaikan tata letak gudang PT PYT dengan memperhatikan jarak, waktu handling, dan utilitas ruang penyimpanan,” J. Integrated System, vol. 7, no. 1, pp. 31–51, Jun. 2024, doi: 10.28932/jis.v7i1.8678.

J. Gu, M. Goetschalckx, and L. F. McGinnis, “Research on warehouse operation: A comprehensive review,” Eur. J. Oper. Res., vol. 177, no. 1, pp. 1–21, Feb. 2007, doi: 10.1016/j.ejor.2006.02.025.

V. R. Muppani & G. K. Adil, “Efficient formation of storage classes for warehouse storage location assignment” Omega, vol. 36, no. 4, pp. 609-618, 2008, doi: 10.1016/j.omega.2007.01.006.

K. Muhammad, B. P. Wicaksana, and A. A. Sibarani, “Warehouse layout design with class-based storage approach to minimize material transfer distance,” AIP Conf. Proc., vol. 2482, e090017, 2023, doi: 10.1063/5.0113824.

M. Ragni, M. Perini, A. Setti, and P. Bosetti, “ARTool Zero: Programming trajectory of touching probes using augmented reality,” Comput. Ind. Eng., vol. 124, pp. 462–473, Oct. 2018, doi: 10.1016/j.cie.2018.07.026.

D. Ueno and E. Hirata, “The optimization of picking in logistics warehouses in the event of sudden picking order changes and picking route blockages,” Math., vol. 12, no. 16, e2580, Aug. 2024, doi: 10.3390/math12162580.

E. H. Frazelle, World-Class Warehousing and Material Handling, NY: McGraw-Hill Education, 2002.

G. Casella, A. Volpi, R. Montanari, L. Tebaldi, and E. Bottani, “Trends in order picking: A 2007–2022 review of the literature,” Prod. Manuf. Res., vol. 11, no. 1, e2191115, Dec. 2023, doi: 10.1080/21693277.2023.2191115.

M. Wang, R.-Q. Zhang, and K. Fan, “Improving order-picking operation through efficient storage location assignment in warehouses,” Comput. Industr. Eng., vol. 139, e106186, 2020, doi: 10.1016/j.cie.2019.106186.

M. M. Pratama and S. S. Dahda, “Designing steel warehouse layouts: A comparative study of dedicated storage and class-based storage methods at PT. BSB,” Adv. Sustain. Sci. Eng. Technol., vol. 6, no. 3, May 2024, doi: 10.26877/asset.v6i3.737.

G. Richards, Warehouse Management: A Complete Guide to Improving Efficiency and Minimizing Costs in the Modern Warehouse, Kogan Page, 2011.

J. Gu, M. Goetschalckx, and L. F. McGinnis, “Research on warehouse design and performance evaluation: A comprehensive review,” Eur. J. Oper. Res., vol. 203, no. 3, pp. 539–549, Jun. 2010, doi: 10.1016/j.ejor.2009.07.031.