Using Coefficient of Variation to Drive Safety Stock Related Decisions

In a previous blog post, we discussed how a high or low value of Coefficient of Variation (CV) impacts the first or second term of safety stock. Today we decided to put this to the test using real customer data - here we will discuss our findings.

How to Use What-if Scenarios to Create a Dynamic IBP Paradigm

Taking the time to perform what-if analyses on a regular basis with real and speculative events, gives planners tremendous insight into what parts of the supply chain are most sensitive to changes. As a result, planners will have a sense of what is a big deal and what is not. And when a crisis happens, they’ll feel confident in their ability to respond.

By |2021-06-02T13:12:02-04:00June 2nd, 2021|S&OP, Supply Chain, Supply Planning, What-if Wednesday|

Target Inventory and Central Planning Engines (Models) – Avoiding the Runaway Train

Often inventory is considered the simplest component of supply chain management that can successfully be managed separately. The purpose of this blog is to provide some observations to avoid the runaway train. We will first review the basics of CPE and then address the use of target inventory (specifically ending finished goods inventory EFGI) in CPEs.

Sustainability & Circularity in Your Supply Chain Planning

Learn how climate action relates to supply chain management. Achieving full-scale sustainability and circularity cannot happen without end-to-end alignment, hierarchical connectivity, integration of all parts of your supply chain, performance metrics, and business processes. And this alignment needs to be part of your existing supply chain before you can take it to the next level.

By |2023-06-07T08:46:57-04:00May 18th, 2021|Supply Chain, Supply Chain Sustainability|

Tools of the Trade: How to Compare / Combine Diverse Time Series – “Normalizing”

A reoccurring challenge in comparing and combining diverse time series in demand forecasting is the “scale” – as it is in combining metrics. Rescaling is a powerful but simple method to help with this issue enabling demand planners to focus on similarities of shape. This blog provides an example of one method called normalization.

Time Series Forecasting Basics

In this blog we briefly cover some key insights for successful time series forecasting: (a) Profiling the Shape of the Curve is the first stage, and the first step is assessing if the time series is stationary. (b) The forecast method identified must capture the shape and be able to project the shape across time. (c) There are limits in historical and no amount of “fancy math” can overcome them.

Lessons From the Suez Canal Blockage – Supply Chain in the News

In the past few days, the news of the blockage of the Suez Canal by a massive container ship called the Ever Given has been dominating the news, so much so, that even kids are talking about it. The phrase ‘supply chain’ is now being mentioned more often than ever before in news media. Some outlets have estimated the cost...

Pin It on Pinterest