Research Article
Data Analytics in Warehouse Management Systems (WMS) Implementations – A Case Study
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 181 - Issue 47 |
| Published: Apr 2019 |
| Authors: Natesan Andiyappillai |
10.5120/ijca2019918542
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Natesan Andiyappillai . Data Analytics in Warehouse Management Systems (WMS) Implementations – A Case Study. International Journal of Computer Applications. 181, 47 (Apr 2019), 14-17. DOI=10.5120/ijca2019918542
@article{ 10.5120/ijca2019918542,
author = { Natesan Andiyappillai },
title = { Data Analytics in Warehouse Management Systems (WMS) Implementations – A Case Study },
journal = { International Journal of Computer Applications },
year = { 2019 },
volume = { 181 },
number = { 47 },
pages = { 14-17 },
doi = { 10.5120/ijca2019918542 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2019
%A Natesan Andiyappillai
%T Data Analytics in Warehouse Management Systems (WMS) Implementations – A Case Study%T
%J International Journal of Computer Applications
%V 181
%N 47
%P 14-17
%R 10.5120/ijca2019918542
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Supply Chain management helps businesses to gain competitive advantage in the market and Logistics plays a vital role in the supply chain when it comes to managing and maintaining the inventory accurately and efficiently. The IT Logistics systems help the businesses to run the processes efficiently in the IT applications. Warehouse Management Systems (WMS) is one of the key elements in IT Logistics systems that help keeping the logistics flow seamless while fulfilling the customer orders as expected. Logistics businesses use the WMS application not just to run the warehouse processes in the IT systems but also to optimize the processes by diligently analyzing the various data available in WMS. This article describes and details the various data captured by a WMS and how the Data analytics plays a key role in optimizing the logistics channel by the business by conducting a case study in a leading logistics and supply chain company.
References
- Five analytics features to make the most of your WMS data, https://www.explorewms.com/wms-data-analytics.html, Geoff Whiting, 15th December 2016.
- The Path Forward for ERP WMS, https://www.logisticsmgmt.com/article/the_path_forward_for_erp_wms1, Gary Forger, June 7, 2018.
- The Importance of Real-Time WMS Reporting & Analytics, https://www.irms360.com/news/importance_real_time_wms_reporting_analytics,
- Should You Adopt Predictive Analytics in Warehouse Management?, https://articles.cyzerg.com/should-you-adopt-predictive-analytics-in-warehouse-management, Hector, 28th Mar 2018.
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