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Warehouse Management System of a Third Party Logistics Provider in Malaysia

Author

Listed:
  • Vellian Vatumalae
  • Premkumar Rajagopal
  • Veera Pandiyan Kaliani Sundram

Abstract

This study aims to explore the significant benefits gained from the implementation of the Warehouse Management System in 3rd Party Logistics Service Provider. A qualitative research approach been adopted by conducting an in-depth case study in one of Halal third-party logistics (3PLs) company located in central Malaysia, offering most of the logistics services, including transportation and warehousing. Information obtained from the warehouse operations managers in understanding the overall benefit of the warehouse management system. As a result of the highly competitive in 3rd party logistics market, environment companies are continuously forced to improve their warehousing operations into a system based applications. Many 3rd party logistics companies have also customized their value proposition to meet better customer demands, which has led to changes in the role of warehouses. The findings of this study have significant implications for both academicians and the 3PLs organizations to further explore the theories, practices, and the implementation of the Warehouse Management System in the warehouse operations. The future studies may lead to an investigation of the relationship of the warehouse management system with 3PL business competitiveness among the 3PL’s organization.

Suggested Citation

  • Vellian Vatumalae & Premkumar Rajagopal & Veera Pandiyan Kaliani Sundram, 2020. "Warehouse Management System of a Third Party Logistics Provider in Malaysia," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(9), pages 1-73, September.
    • Handle: RePEc:ibn:ijefaa:v:12:y:2020:i:9:p:73
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    References listed on IDEAS

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    1. René de Koster & Yeming Gong, 2008. "A polling-based dynamic order picking system for online retailers," Post-Print hal-02312476, HAL.
    2. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
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    Cited by:

    1. Lanjing Wang & Alfred Daniel J. & Thanjai Vadivel, 2022. "Research on Logistic Warehouse Scheduling Management With IoT and Human-Machine Interface," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 15(4), pages 1-15, October.

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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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