Theoretical Perspectives on Warehouse Operations: A Review of Four Key Aspects
Purpose: The aim of the research is to understand the overview of warehouse management. The existing warehouse operations are linked to four aspects: infrastructure, labor, work procedures, and activity implementation.
Research Methodology: This study uses a qualitative research method by conducting a survey to describe, explain, and interpret the phenomenon that occurs in an object. FIFO and FEFO are linked with four aspects: means, infrastructure, power work, standard operational procedures, and implementation activities.
Results: Infrastructure refers to the challenges faced by warehouse operations with facilities, such as frequently finding damaged pallets, resulting in a buildup of damaged pallets in the warehouse. The workforce is sufficient at 10, and staff can communicate effectively through pre-employment training. Good, Work in accordance with the procedure which applies, can solve problems, and can work professionally. The work procedures implemented by the company met the criteria.
Conclusions: The study highlights the importance of infrastructure, workforce, work procedures, and activity implementation in warehouse operations. While the system is functional, infrastructure issues like damaged pallets need attention. The workforce is well-trained, and procedures ensure operational accuracy.
Limitations: The study is limited to a single warehouse at PT. Akusara Indonesia Abadi, so the findings may not be applicable to other settings. It also doesn’t explore the role of technology in warehouse management.
Contributions: This research provides valuable insights into warehouse management, emphasizing the need for improved infrastructure, proper staff training, and adherence to standardized procedures to enhance operational efficiency.
- Abd Karim, A. T., & Sejati, A. E. (2021). Evaluation of mining safety management system implementation in pt. antam ubpn sultra. Jurnal Ekonomi, 26(2), 223–238.
- Agusinta, L., Nugroho, A. E., Fachrial, P., & Suryawan, R. F. (2021). Assessment model of employee competence, ground support equipment effectiveness, and satisfaction on service quality. Jurnal Transportasi, Logistik, dan Aviasi, 1(1), 55–69. https://doi.org/10.52909/jtla.v1i1.37
- Andiyappillai, N. (2019). Data analytics in warehouse management systems (wms) implementations–a case study. International Journal of Computer Applications, 181(47), 14–17.
- Angelides, S. C., Talbot, J. P., & Overend, M. (2021). High strain-rate effects from blast loads on laminated glass: An experimental investigation of the post-fracture bending moment capacity based on time–temperature mapping of interlayer yield stress. Construction and Building Materials, 273, 121658. https://doi.org/10.1016/j.conbuildmat.2020.121658
- Arunyanart, S., Tangkitipanusawat, P., & Yoshimoto, K. (2019). Improving efficiency on warehouse management: A case study of beverage company’s distribution center. Asia-Pacific Journal of Science and Technology, 24(3), 1–11.
- Atieh, A. M., Kaylani, H., Al-Abdallat, Y., Qaderi, A., Ghoul, L., Jaradat, L., & Hdairis, I. (2016). Performance improvement of inventory management system processes by an automated warehouse management system. Procedia CIRP, 41, 568–572. https://doi.org/10.1016/j.procir.2015.12.122
- Bahrami, B., Aghezzaf, E. H., & Limère, V. (2019). Enhancing the order picking process through a new storage assignment strategy in forward-reserve area. International Journal of Production Research, 57(21), 6593–6614. https://doi.org/10.1080/00207543.2019.1567953
- Baruffaldi, G., Accorsi, R., & Manzini, R. (2019). Warehouse management system customization and information availability in 3pl companies: A decision-support tool. Industrial Management & Data Systems, 119(2), 251–273. https://doi.org/10.1108/IMDS-01-2018-0033
- Chivanga, S. Y., & Monyai, P. B. (2021). Back to basics: Qualitative research methodology for beginners. Journal of Critical Reviews, 8(2), 11–17.
- Edalati, P., Floriano, R., Mohammadi, A., Li, Y., Zepon, G., Li, H. W., & Edalati, K. (2020). Reversible room temperature hydrogen storage in high-entropy alloy tizrcrmnfeni. Scripta Materialia, 178, 387–390. https://doi.org/10.1016/j.scriptamat.2019.12.009
- Faber, N., De Koster, R. B., & Smidts, A. (2018). Survival of the fittest: The impact of fit between warehouse management structure and warehouse context on warehouse performance. International Journal of Production Research, 56(1-2), 120–139. https://doi.org/10.1080/00207543.2017.1395489
- Hamel, D., Rozman, V., & Liška, A. (2020). Storage of cereals in warehouses with or without pesticides. Insects, 11(12), 846. https://doi.org/10.3390/insects11120846
- He, M., Shen, J., Wu, X., & Luo, J. (2018). Logistics space: A literature review from the sustainability perspective. Sustainability, 10(8), 2815. https://doi.org/10.3390/su10082815
- Heriyanto, D. (2021). The impact of service quality and compensation on crew satisfaction in manning companies. Jurnal Transportasi, Logistik, dan Aviasi, 1(1), 31–41. https://doi.org/10.52909/jtla.v1i1.35
- Huei, T. T. (2018). Foods ingredients management: Inbound and outbound halal management best practice. Journal of Technology and Operations Management, 13(2), 34–44.
- Kamali, A. (2019). Smart warehouse vs. traditional warehouse. CiiT International Journal of Automation and Autonomous System, 11(1), 9–16.
- Kashyap, A. H. P. (2020). Logistic techniques to reduce losses in fresh food supply chain. International Journal for Scientific Research and Development, 8(5), 346–351.
- Setyawati, A., & Aristiyanto, F. K. (2021). Improving discipline through apron movement control (amc)
- at pt angkasa pura i adi soemarmo airport. Jurnal Transportasi, Logistik, dan Aviasi, 1(1), 1–17.
- https://doi.org/10.52909/jtla.v1i1.33
- Shyshkin, V., Onyshchenko, O., & Cherniak, K. (2020). Modern approaches to warehouse logistics
- management. Management and Entrepreneurship: Trends of Development, 2(12), 105–117.
- https://doi.org/10.26661/2522-1566/2022-3/21-06
- Smith, D., & Srinivas, S. (2019). A simulation-based evaluation of warehouse check-in strategies for
- improving inbound logistics operations. Simulation Modelling Practice and Theory, 94, 303–320.
- https://doi.org/10.1016/j.simpat.2019.03.004
- Sukasih, E., Apriyanto, G., & Firdiansjah, A. (2020). Drug inventory management in financial perspectives
- on pharmacy installations. IOSR Journal of Business and Management (IOSRJBM), 22(8), 54–61.
- https://doi.org/10.9790/487X-2208035461
- Torabizadeh, M., Yusof, N. M., Ma’aram, A., & Shaharoun, A. M. (2020). Identifying sustainable
- warehouse management system indicators and proposing new weighting method. Journal of
- Cleaner Production, 248, 119190. https://doi.org/10.1016/j.jclepro.2019.119190
- Voit, S., Irtyshcheva, I., & Nosar, A. (2021). Strategy for the development of warehouse logistics as a
- component of transport and logistics systems in the focus of economic transformation. Baltic
- Journal of Economic Studies, 7(5), 49–58. https://doi.org/10.30525/2256-0742/2021-7-5-49-58
- Wei, T., Ren, S., & Zhu, Q. (2019). Deep reinforcement learning for joint datacenter and hvac load control
- in distributed mixed-use buildings. IEEE Transactions on Sustainable Computing, 6(3), 370–384.
- https://doi.org/10.1109/TSUSC.2019.2910533
- Weidinger, F., & Boysen, N. (2018). Scattered storage: How to distribute stock keeping units all around a
- mixed-shelves warehouse. Transportation Science, 52(6), 1412–1427. https://doi.org/10.1287/
- trsc.2017.0779
- Yan, B., Yan, C., Long, F., & Tan, X. C. (2018). Multi-objective optimization of electronic product goods
- location assignment in stereoscopic warehouse based on adaptive genetic algorithm. Journal of
- Intelligent Manufacturing, 29(6), 1273–1285. https://doi.org/10.1007/s10845-015-1177-7
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