In this blog are some analyses based on the Pareto principle (or as is very commonly referred to as ABC analysis) that one can do in order to determine the alignment of the inventory with the overall needs of the supply chain.
In this blog, we will focus on protecting your investment. The example involves demand variability versus prediction variability and its impact on inventory policy and operational efficiencies. It is loosely based on a real situation from the trenches.
Inventory comes in many forms and flavors; it is the critical element of supply chains that enable a firm to respond quickly and take advantage of scale. However, managing inventory is one of the most...
Inventory management (IM) is a critical component of any successful organization where the mechanics of measuring and monitoring inventory involve KPIs, dashboards, and data science...
The Dual Reality of Inventory Management (IM): Stand Alone and Central Planning – Avoiding Data Driven Disasters
This blog will provide some basic information on CPIM to balance the SAIM focus of these webinars and most importantly position the two so that the oversight of inventory is coordinated.
Probabilities are persuasive in supply chains and analytic methods – especially in machine learning where conditional probability is a dominant underlying structure that makes or breaks the success of an application. In this blog, we will learn how to take the mystery out of the term ‘conditional probability’.
A common question is how to best manage safety stock for critical raw materials that are critical to the production of the exit product...
In a recent blog on Inventory Forecasting the core challenges and business importance of estimating inventory are outlined. A projected inventory position across time (plan) is a natural co-product of most central or master planning models that match assets with the demand to create a projected supply line linked to demand.
Inventory Forecasting is the process in which the historical sales data, historical purchasing data, current demand planning, planned production, and distribution resource plan data are used for predicting inventory levels in a future time period.
Scientific and system-driven Inventory Projection facilitates a quick decision-making process and enables a prompt analysis of alternative what-if scenarios. The following are the top 7 benefits of system driven inventory projection.