The Effect of Currency Demonetization on Statistical Forecasting

How does currency demonetization affect statistical forecasting? The Government of India recently enacted the policy to demonetize Rupees 500 and 1,000 banknotes. ( ₹500 and ₹1,000). All bank notes of these denominations ceased to be legal tender on November 9, 2016. A Google search on this will reap rich returns; here is an article on this topic on

By |2019-04-13T23:09:39-04:00December 12th, 2016|Forecasting|

Illusively Complex – Effective Approach to Mixing Judgment and Statistics in Forecasting

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

By |2024-02-21T14:20:42-05:00October 13th, 2015|Demand Planning|

Using Coefficient of Variation as a Guide for Safety Stocks

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

How To Measure BIAS In Forecast

I spent some time discussing MAPE and WMAPE in prior posts. In this post, I will discuss Forecast BIAS. Forecast BIAS can be loosely described as a tendency to either Forecast BIAS is described as a tendency to either over-forecast (meaning, more often than not, the forecast is more than the actual), or under-forecast (meaning, more often

By |2019-04-13T23:10:00-04:00July 21st, 2015|Demand Planning, Forecasting|

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