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Factors Influencing the Successful Implementation of the Warehouse Management System (WMS)

Natesan Andiyappillai in Information Systems

International Journal of Applied Information Systems
Year of Publication:2020
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Natesan Andiyappillai
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  1. Natesan Andiyappillai. Factors Influencing the Successful Implementation of the Warehouse Management System (WMS). International Journal of Applied Information Systems 12(35):30-34, December 2020. URL, DOI BibTeX

    	author = "Natesan Andiyappillai",
    	title = "Factors Influencing the Successful Implementation of the Warehouse Management System (WMS)",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "December 2020",
    	volume = 12,
    	number = 35,
    	month = "December",
    	year = 2020,
    	issn = "2249-0868",
    	pages = "30-34",
    	url = "",
    	doi = "10.5120/ijais2020451896",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"


In the recent years, the increasing complexity of the logistics and supply chain business requirements have been forcing the logistics and supply chain service providers to implement and use the Warehouse Management System (WMS) effectively and efficiently to satisfy those requirements. However, only the successful implementation of a WMS could help in meeting those requirements and provide the anticipated competitive advantage in the market. Hence, this research is attempted to explore and identify the key factors that could influence the successful implementation of WMS. In this research, a case study has been conducted in a leading Logistics and Supply Chain service provider to understand and evaluate those critical factors that are contributing to a successful WMS implementation based on the actual project implementation observations and project documentations. This study is expected to help the logistics and supply chain industry in learning these key factors and take necessary actions to make the WMS implementation a very successful one for their business.


  1. Ul-Ain, N., Giovanni, V., DeLone, W. H., & Waheed, M. (2019). Two decades of research on business intelligence system adoption, utilization and success – A systematic literature review. Decision Support Systems.
  2. Mahroof, K. (2019). A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse. International Journal of Information Management, 45, 176–190.
  3. Xu, T., Yang, P., & Guo, H. (2019). Energy Efficiency Analysis on Robotic Mobile Fulfillment System. 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA). doi:10.1109/iea.2019.8714923
  4. Jemelka, M., & Chramcov, B. (2019). The Use of Recursive ABC Method for Warehouse Management. Software Engineering Methods in Intelligent Algorithms, 223–229.
  5. Davis, F. D., Riedl, R., vom Brocke, J., Léger, P.-M., & Randolph, A. B. (Eds.). (2019). Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation.
  6. Khan, S. A. R., & Yu, Z. (2019). Strategic Supply Chain Management. EAI/Springer Innovations in Communication and Computing. doi:10.1007/978-3-030-15058-7
  7. Benjamin, R., Wigand, R., (1995), Electronic Markets and Virtual Value Chains on the Information Superhighway”, Sloan Management Review, 36(2), pp. 62–72.
  8. Bhagwat, R., Sharma, M.K. (2007), “Performance Measurement of Supply Chain Management: A Balanced Scorecard Approach. Computers & Industrial Engineering, 53(1), pp. 43-62.
  9. Bititci, U.S., Carrie, A.S., McDevitt, L.G., (1997), “Integrated Performance Measurement Systems: A Development Guide”, International Journal of Operations and Production Management, 17(6), May/June, MCB University Press, pp. 522-535.
  10. Cai, J., Liu, X., Xiao, Z., Liu, J. (2009), “Improving Supply Chain Performance Management: A Systematic Approach to Analyzing Iterative KPI Accomplishment”, Decision Support Systems, 46(2), pp. 512-521.
  11. Chan, F., T., S., Qi, H.J. (2003), “An Innovative Performance Measurement Method for Supply Chain Management”, Supply Chain Management: An International Journal, 8(3), pp. 209-223.
  12. Chan, F.T.S., Qi, H.J., Chan, H.K., Lau, H.C.W. Ip, R.W.L. (2003), “A Conceptual Model of Performance Measurement for Supply Chains”, Management Decision, 41(7), pp. 635-642.
  13. Charan, P., Shankar, R., Baisya, R. (2008), “Analysis of Interactions among the Variables of Supply Chain Performance Measurement Systems”, Business Process Management Journal, 14(4), pp. 512-529.
  14. Chikan, A. (2001), “Integration of Production and Logistics – in Principle, In Practice and in Education”, International Journal of Production Economics, 69(2), pp.129–140.
  15. Chia, A., Goh, M., Hum, S.H. (2009), “Performance Measurement in Supply Chain: Balanced Scorecard Perspective”, Benchmarking: An International Journal, 16(5), pp. 605.
  16. Chin, T.A., Tat, H.H., Yusoff, R.M., Rasli, A., (2010), “A Proposed Model of Determinants of Supply Chain Performance in the Malaysian Electronic Manufacturing Services (EMS) Industry” International Journal of Business and Social Sciences, 1(1), pp. 137-144.


Warehouse Management System, WMS, Logistics and Supply Chain Service Provider