Analysis Of The Implementation Of A Portable Data Terminal (PDT)-Based Warehouse Management System In Increasing Warehouse Productivity And Cost Efficiency At XYZ Company

Irsyad Thalib Abdillah Irsyad Thalib Abdillah; Ebi Suryana; Muhammad Ghalih Massaid Waryanto

doi:10.55227/ijhet.v5i1.826

Authors

Irsyad Thalib Abdillah Irsyad Thalib Abdillah a:1:{s:5:"en_US";s:37:"Universitas Setia Budhi Rangkasbitung";}
Ebi Suryana Universitas Setia Budhi Rangkasbitung
Muhammad Ghalih Massaid Waryanto Universitas Setia Budhi Rangkasbitung

DOI:

https://doi.org/10.55227/ijhet.v5i1.826

Keywords:

Logistics Efficiency, Supply Chain Management, Warehouse Management System, Portable Data Terminal, Digital Transformation

Abstract

The Indonesian logistics industry is currently facing pressure to achieve operational efficiency due to the rapid growth of e-commerce. Many warehouses still rely on manual processes, leading to inventory inaccuracies and suboptimal distribution. This study aims to analyze the impact of implementing a Warehouse Management System (WMS) integrated with a Portable Data Terminal (PDT) on the operational performance of XYZ Company. Using a mixed-methods case study approach, data was collected through structured observations, interviews with 25 key personnel, and historical document analysis. This study used Current Value Stream Mapping to identify operational waste and measure performance through cycle time, lead time, and process cycle efficiency. The results showed that the implementation of WMS-PDT significantly improved operational performance, reducing incoming process cycle time by 62% and outgoing process time by 50%. Furthermore, this digital transformation successfully minimized wasteful waiting and motion time, resulting in a reduction in inventory costs of IDR 13.7 billion with a benefit-to-cost ratio of 3.25:1. The study concluded that the integration of PDT into the WMS provides a robust framework for real-time data capture, effectively improving operational accuracy and service levels. These findings provide a strategic roadmap for logistics companies to leverage digital technologies to increase competitiveness.

Downloads

Download data is not yet available.

References

Agustina, A., & Vikaliana, R. (2021). Warehouse capacity optimization strategy to improve operational efficiency. Jurnal Ikraith-Ekonomika, 4(2), 152–161.

Akhmad, EPA, & Prawirosastro, CL (2026). RFID-based warehouse management system for improving inventory accuracy and operational efficiency. Journal of Shipping and Port Applications, 16(2), 293–309.

Alamsah, U., & Muftiadi, A. (2024). Comparative analysis of outsourcing and in-house warehouse management systems to improve productivity and stock accuracy. Indonesian Educational Research Journal, 10(4), 908–919.

Chen, H., & Damian, MAE (2024). Warehouse management information system technology review. International Journal of Emerging Technologies and Advanced Applications, 1(3), 24–32.

Chopra, S., & Meindl, P. (2021). Supply chain management: Strategy, planning, and operations (7th ed.). Pearson.

Creswell, J. W., & Plano Clark, V. L. (2021). Designing and conducting mixed methods research (4th ed.). Sage Publications.

Grant, D. B. (2012). Logistics management (1st ed.). Pearson Education Limited.

Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S.F., Childe, S.J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308–317. https://doi.org/10.1016/j.jbusres.2016.08.004

Hines, P., Holweg, M., & Rich, N. (2004). Learning to evolve. International Journal of Operations & Production Management, 24(10), 994–1011. https://doi.org/10.1108/01443570410558066

Kembro, J. H., Norrman, A., & Eriksson, E. (2018). Adapting warehouse operations and design to omni-channel logistics: A literature review and research agenda. International Journal of Physical Distribution & Logistics Management, 48(9), 890–912. https://doi.org/10.1108/IJPDLM-02-2017-0085

Murphy, P. R., & Knemeyer, A. M. (2018). Contemporary logistics (12th ed.). Pearson.

Rother, M., & Shook, J. (2003). Learning to see: Value stream mapping to add value and eliminate muda. Lean Enterprise Institute.

Sugiyono. (2023). Quantitative, qualitative, and R&D research methods (3rd edition). Alfabeta.

Womack, J. P., & Jones, D. T. (2017). Lean thinking: Banish waste and create wealth in your corporation. Free Press.

Zulfikar, H., Saputra, DR, Maulana, A., Cahyono, YA, & Sahara, S. (2023). Improving warehouse operational efficiency through integrated technology. Wahana Pendidikan Scientific Journal, 9(14), 605–615.