Below, we study, both the primary and secondary drivers, to get a clear picture of WMS. Choosing a WMS Primary drivers include a group of fundamental functions and operatives of a warehouse system like the software components, technology, cost, support and other utilities as well as the precise graphic business necessities. Below is the further explanation of the applications included in the primary drivers (Sahay and Gupta, 2003). Software Components Software components and

The use of analytics for redefining inventory strategies based on greater visibility and more efficient optimization of resources is yielding a 20 - 30% reduction in inventory carrying costs, according to research on this best practice done by Aberdeen Group (22) in its report, Best Practices in International Logistics. The study concludes that greater visibility of inventory dynamics with analytics and better planning coordination with manufacturing, suppliers and buyers can manufacturers together can enable order management

Warehouse management is the control and optimization of the various processes in a warehouse. A warehouse management system (WMS) is an internal tool used to control and optimize the flow of materials. The functionality of the WMS is broken down into three operations; put-away, replenishing, and picking (Novák & Kraj?ovi?, 2011; Sahuri & Utomo, 2016). The basic principle for the WMS is directing the three operations to the relevant locations

Also, the right products should be shipped to the right locations and this makes WMS labor-intensive and complex. However, a well established WMS is essential to reduce incidents and loss. Customer Service An effective WMS is essential to ensure a high quality customer service. Errors in deliveries can lead to empty shelves and in turn, this will result in a financial loss for the company because the product was not available

AMR Research (2005) believes that companies must begin developing and redeploying current order management architectures with the focus on delivering more flexibility rather than a strategy that delivers far less. The move toward customer-driven fulfillment processes requires the ability to build and adapt channel-specific, product-specific, and customer-specific order flows quickly without an army of developers creating custom code. However, the days of big bang, rip-and-replace implementations are over, and any

Another factor in open source database vendors leading this area is the focus on multiple models for scalability as can be seen in Table 1: DBMS Features Analysis. The support of multiple models of scalability also concentrates on OLTP transaction integration specifically within roles as defined in the security model (Pereira, Muppavarapu, Chung, 2006). Security will be discussed later in this analysis. The second factor used to evaluate closed source