What is Happening to Our Supply Chains?

Everyone is talking about supply chains these days. Ever worsening weather, a global pandemic, and a labor shortage have generated a perfect storm that has pushed global supply chains to their breaking point. I propose that the problem has been building for some time and this perfect storm may just be the reset we need.

How Forecastable is Your Data?

Having access to an accurate forecast is very beneficial for businesses. If used correctly, it can provide better margins, increase market shares, and many other positive results. At a more tactical level, it can help reduce the costs associated with meeting the customer demand and make the supply chain more efficient.

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.

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.

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...

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.

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