THE IMPLEMENTATION OF WAREHOUSE MANAGEMENT SYSTEM (WMS) TO IMPROVE WAREHOUSE PERFORMANCE IN BUSINESS TO BUSINESS (B2B)
DOI:
https://doi.org/10.15282/ijim.17.4.2023.10091Keywords:
Warehouse, Supply chain management, Manufacture, Warehouse Management SystemAbstract
As one of the key steps in the manufacturing supply chain, warehousing is in the position of controlling inventories. The success of realised goods movements can often be measured by how well warehouse activities are carried out. The goal of this study is to identify the problems with inventory management in warehouses and to install WMS to enhance inventory control in a warehouse setting. In industries such as manufacturing and other forms of production, efficient warehousing and management of inventory is essential. A systematic evaluation is used throughout the literature to investigate warehouse operational challenges and how they impact performance measures. As clients develop increasingly sophisticated and require precise, safe, and rapid information communication, this study develops and comprehends the usage of technological advances to support the business and incorporate trustworthiness, control, and flexibility into the daily operations of warehouses. The main goal of this study was to enhance the work management system of the organisation. The outcomes from this study offer a few helpful suggestions on applying WMS practises within the organisation.
References
Abimanyu, Wawan, H. and Erry, R. (2019). Analysis of inventory management using methodology ROP (reorder point) to minimize DOI (days of inventory). International Journal of Innovative Scienceand Research Technology, 4(7), 313-317.
Cakmak, E., Gunay, N., Aybakan, G. and Tanyas, M., (2012). Determining the Size and Design of Flow Type and U-Type Warehouses. Procedia - Social and Behavioral Sciences, 58, 1425-1433
Fumi, A., Scarabotti, L., & Schiraldi, M. M. (2013). The effect of slot-code optimization in warehouse order picking. International Journal of Engineering Business Management, 5, 20.
Zhang, Y., & Pan, F. (2022). Design and implementation of a new intelligent warehouse management system based on MySQL database technology. Informatica, 46(3).
Liang, J., Wu, Z., Zhu, C., & Zhang, Z. H. (2022). An estimation distribution algorithm for wave-picking warehouse management. Journal of Intelligent Manufacturing, 1-14.
Li, Y., & Shou, B. (2021). Managing supply risk: Robust procurement strategy for capacity improvement. Omega, 102, 102352.
Jenkins, A. (2023). Warehouse Automation Explained: Types, Benefits & Best Practices. Oracle NetSuite.
De Koster, R. B., Johnson, A. L., & Roy, D. (2017). Warehouse design and management. International Journal of Production Research, 55(21), 6327-6330.
Kembro, J., & Norrman, A. (2019). Exploring trends, implications and challenges for logistics information systems in omni-channels: Swedish retailers’ perception. International Journal of Retail & Distribution Management, 47(4), 384-411.
Khan, S. A. R., Jian, C., Zhang, Y., Golpîra, H., Kumar, A., & Sharif, A. (2019). Environmental, social and economic growth indicators spur logistics performance: from the perspective of South Asian Association for Regional Cooperation countries. Journal of Cleaner Production, 214, 1011-1023.
Miralam, M. (2017). Impact of implementing warehouse management system on auto spare part industry market in Saudi Arabia. Review of Integrative Business and Economics Research, 6(3), 56.
Rashidi, K., & Cullinane, K. (2019). Evaluating the sustainability of national logistics performance using Data Envelopment Analysis. Transport Policy, 74, 35-46.
Saderova, J., Rosova, A., Behunova, A., Behun, M., Sofranko, M., & Khouri, S. (2022). Case study: The simulation modelling of selected activity in a warehouse operation. Wireless Networks, 28(1), 431-440.
Straka, M., Rosová, A., Lenort, R., Besta, P., & Šaderová, J. (2018). Principles of computer simulation design for the needs of improvement of the raw materials combined transport system. Acta Montanistica Slovaca, 23(2).
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 The Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
