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.
Last week I wrote about the potential benefits in forecasting results based on removing outliers from one-time events. A key question that came up because of that post was this: How long does a change in demand as a result of an event (whether up or down) impact forecasts in the future? Rather than theorize
In 1994, the IBM Micro-electronics Division, itself a fortune 100 size firm, put in place a major effort to create best in class supply chain planning process and software including demand planning(DM), central planning, available to promise, et al. I was fortunate to be an original member and had the opportunity to work extensively on
In one of my previous posts, I wrote about using coefficient of variation (CV) as a predictor of forecastability. In this post, I will talk about how it can be used to indicate a sensitivity of lead time towards the safety stock calculations. To quickly remind the reader first: The formula for CV = StdDev
Sales is a fast-paced business; people who aren’t focused on the here and now usually lose out on sales. As mentioned in Jelle’s blog, sales persons would rather be out in the field selling, which is the reason why they feel it would be a waste of their resources sitting in their office forecasting. Yet,
In our last post, Sujit discussed the importance of gathering input from participants as a way to mitigate biases. In this post, I will explain why the sales team should be required participants and what their influence is on the forecasting process.
Developing an accurate as possible forecast is very important in running a business. Demand planners spend countless hours trying to create a better forecast so that they can help their company be more efficient. A key ingredient in the creation of the final forecast is the forecast generated by a computer program, which is based in statistics. In this