Effect of Change in Replenishment Frequency
This blog breaks down the impact of changing replenishment frequency on inventory and service levels from a mathematical perspective.
This blog breaks down the impact of changing replenishment frequency on inventory and service levels from a mathematical perspective.
Companies often focus on inventory to free up working capital. An inventory planning solution often requires presenting management with ROI.
Unlike a fine wine, inventory does not get better with age. Learn more about the importance of balancing inventory levels with related costs.
Every supply chain planner’s goal is to provide the highest degree of customer service while reducing inventory in the supply chain network. High customer service translates to more business for the organization, and low inventory costs mean increased working capital. Supply chain planners may struggle to balance both, but good inventory planning software would help
Whether you are a manufacturer, retailer or distributor, inventory is likely one of your largest assets – after cash of course. Managing this asset takes a cross-functional team, all (hopefully) moving in the same direction. Weak management of the inventory process results in a porous supply chain.
A lot of projects propose to deliver ROI through lower levels of inventory. Servicing the demand at desired service levels with lower inventory should save the company some money. But how, exactly?
We have all seen it in the news. Covid-19 outbreaks, labor shortages at the port as well as in trucking, and port delays coupled with high demand from consumers are causing major supply chain issues. Shipping containers are in short supply, or perhaps a better way to say it is that they are waiting to be unloaded or loaded resulting in a shortage. In this blog, let us try to enlist some possible future impacts of this situation. Let us look at it from the perspectives of the different players in the supply chain.
In today’s blog, we will share some examples to help Inventory Planners explore different methods available to calculate Demand Variance and decide which method is best suited for their products and businesses.