Demand Versus Predict Variability – Avoiding a Paint by Numbers Disaster

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.

Conditional Probability Made Easy – Heart of Machine Learning

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’.

“Optimized” Inventory Forecasting a Co-Product of Optimized Central Planning

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. 

Impact of right-sizing inventory on EBITDA

Supply chain planning projects are often approved on the back of the promise of lower inventory levels. In a recent conversation, I was asked a more nuanced question: whether right-sizing inventory via better supply chain planning improves earnings before interest, tax, depreciation, and amortization (EBITDA). This blog tries to address this question.

By |2019-08-07T11:15:12-04:00August 7th, 2019|Inventory Management|0 Comments

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