Improving Warehouse Operations in Cargo Companies through Agile-based Warehouse Management System
Keywords:
Warehouse Operations, Agile Methodology, Warehouse Management, CargoAbstract
This research addresses the complex problem of warehouse operations of freight forwarders, which often face challenges related to stock management, dispatch, and distribution of goods. This research proposes an Agile approach as a potential solution by looking at traditional warehouse management systems that must be more responsive to changing customer demands and dynamic market conditions. Literature analysis and case studies show that implementing an Agile-based warehouse management system can improve operational efficiency and flexibility. By applying Agile principles, companies can be more responsive to change, increase team collaboration, and improve the process of stock management, dispensing, and distribution of goods. This research provides a better understanding of the relevance of Agile principles in managing a freight forwarder's warehouse operations while highlighting the potential advantages that can be gained through implementing an Agile-based warehouse management system, as well as the challenges that need to be overcome in the process. As such, this research provides a strong foundation for recommending the use of Agile-based warehouse management systems to improve operational efficiency and effectiveness in the freight forwarding industry.
Downloads
References
Bombelli, A., & Fazi, S. (2022). The ground handler dock capacitated pickup and delivery problem with time windows: A collaborative framework for air cargo operations. Transportation Research Part E: Logistics and Transportation Re-view, 159. https://doi.org/10.1016/j.tre.2022.102603
Camacho-Muñoz, G. A., Franco, J. C. M., Nope-Rodríguez, S. E., Loaiza-Correa, H., Gil-Parga, S., & Álvarez-Martínez, D. (2023). 6D-ViCuT: Six degree-of-freedom visual cuboid tracking dataset for manual packing of cargo in ware-houses. Data in Brief, 49. https://doi.org/10.1016/j.dib.2023.109385
Gonzalez-Calderon, C. A., Posada-Henao, J. J., Granada-Muñoz, C. A., Moreno-Palacio, D. P., & Arcila-Mena, G. (2022). Cargo bicycles as an alternative to make sustainable last-mile deliveries in Medellin, Colombia. Case Studies on Transport Policy, 10(2), 1172–1187. https://doi.org/10.1016/j.cstp.2022.04.006
Hasan, R., Ta, A.-, & Razali, R. (2013). Prioritizing Requirements in Agile Devel-opment : A Conceptual Framework. Procedia Technology, 11(Iceei), 733–739. https://doi.org/10.1016/j.protcy.2013.12.252
Humpert, L., Röhm, B., Anacker, H., Dumitrescu, R., & Anderl, R. (2022). Method for direct end customer integration into the agile product development. Procedia CIRP, 109, 215–220. https://doi.org/10.1016/j.procir.2022.05.239
Hunt, J. D., Nascimento, A., Tong, W., Zakeri, B., Jurasz, J., Patro, E. R., Ðurin, B., de Jesus Pacheco, D. A., de Freitas, M. A. V., Filho, W. L., & Wada, Y. (2023). Per-petual motion electric truck, transporting cargo with zero fuel costs. Journal of Energy Storage, 72. https://doi.org/10.1016/j.est.2023.108671
Jörgensen, A. M., Wibel, R., Veider, F., Hoyer, B., Chamieh, J., Cottet, H., & Bern-kop-Schnürch, A. (2023). Self-emulsifying drug delivery systems (SEDDS): How organic solvent release governs the fate of their cargo. International Journal of Pharmaceutics, 647. https://doi.org/10.1016/j.ijpharm.2023.123534
Kim, S., Sohn, W., Lim, D., & Lee, J. (2021). A multi-stage data mining approach for liquid bulk cargo volume analysis based on bill of lading data. Expert Systems with Applications, 183. https://doi.org/10.1016/j.eswa.2021.115304
Kooij, C., Kana, A. A., & Hekkenberg, R. G. (2021). A task-based analysis of the economic viability of low-manned and unmanned cargo ship concepts. Ocean Engineering, 242. https://doi.org/10.1016/j.oceaneng.2021.110111
Li, W., Pundt, R., & Miller-Hooks, E. (2021). An updatable and comprehensive global cargo maritime network and strategic seaborne cargo routing model for global containerized and bulk vessel flow estimation. Maritime Transport Re-search, 2. https://doi.org/10.1016/j.martra.2021.100038
Lokras, A., Chakravarty, A., Rades, T., Christensen, D., Franzyk, H., Thakur, A., & Foged, C. (2022). Simultaneous quantification of multiple RNA cargos co-loaded into nanoparticle-based delivery systems. International Journal of Pharmaceutics, 626. https://doi.org/10.1016/j.ijpharm.2022.122171
Meiliana, Daniella, G., Wijaya, N., Putra, N. G. E., & Efata, R. (2023). Agile Soft-ware Development Effort Estimation based on Product Backlog Items. Proce-dia Computer Science, 227, 186–193. https://doi.org/10.1016/j.procs.2023.10.516
Michalides, M., Bursac, N., Nicklas, S. J., Weiss, S., & Paetzold, K. (2023). Analyzing current Challenges on Scaled Agile Development of Physical Products. Procedia CIRP, 119, 1188–1197. https://doi.org/10.1016/j.procir.2023.02.188
Mishra, A., & Alzoubi, Y. I. (2023). Structured software development versus agile software development: a comparative analysis. International Journal of Sys-tem Assurance Engineering and Management. https://doi.org/10.1007/s13198-023-01958-5
Narayanan, S., & Antoniou, C. (2022). Electric cargo cycles - A comprehensive re-view. Transport Policy, 116, 278–303. https://doi.org/10.1016/j.tranpol.2021.12.011
Njoya, E. T., Forsyth, P., Niemeier, H.-M., & Nikitas, A. (2023). Examining the im-pact of air cargo growth on poor Vietnamese rural and urban households. Transport Economics and Management, 1, 112–125. https://doi.org/10.1016/j.team.2023.08.001
Paasivaara, M., Behm, B., Lassenius, C., & Hallikainen, M. (2018). Large-scale ag-ile transformation at Ericsson: a case study. Empirical Software Engineering, 23(5). https://doi.org/10.1007/s10664-017-9555-8
Polkinghorne, M., Pearson, N., van Duivenvoorde, W., Nayati, W., Tahir, Z., Rid-wan, N. N. H., Forrest, C., Tan, N. H., Popelka-Filcoff, R., Morton, C., Kow-lessar, J., & Staniforth, M. (2024). Reuniting orphaned cargoes: Recovering cultural knowledge from salvaged and dispersed underwater cultural heritage in Southeast Asia. Marine Policy, 163. https://doi.org/10.1016/j.marpol.2024.106074
Soprano, E., Migliavacca, M., López-Ferreiro, M., Pelaz, B., Polo, E., & del Pino, P. (2023). Fusogenic Cell-Derived nanocarriers for cytosolic delivery of cargo in-side living cells. Journal of Colloid and Interface Science, 648, 488–496. https://doi.org/10.1016/j.jcis.2023.06.015
Tøndel, I. A., Cruzes, D. S., Jaatun, M. G., & Sindre, G. (2022). Influencing the secu-rity prioritisation of an agile software development project. Computers and Security, 118. https://doi.org/10.1016/j.cose.2022.102744
Tseremoglou, I., Bombelli, A., & Santos, B. F. (2022). A combined forecasting and packing model for air cargo loading: A risk-averse framework. Transportation Research Part E: Logistics and Transportation Review, 158. https://doi.org/10.1016/j.tre.2021.102579
Yang, H., Landes, H., & Chow, J. Y. J. (2023). A large-scale analytical residential parcel delivery model evaluating greenhouse gas emissions, COVID-19 im-pact, and cargo bikes. International Journal of Transportation Science and Technology. https://doi.org/10.1016/j.ijtst.2023.08.002
Yıldız, B., Savelsbergh, M., & Dogru, A. K. (2023). Transshipment network design for express air cargo operations in China. EURO Journal on Transportation and Logistics, 12. https://doi.org/10.1016/j.ejtl.2023.100120