Relationship Between MAD and Standard Deviation For a Normally Distributed Random Variable

A colleague and I were talking recently, and the conversation turned to what is the relationship between Mean Absolute Deviation (MAD) and the Standard Deviation (STDEV). In this post, I will explain to you the math behind that approximation, which by the way, only applies to normal distributions.

By |2020-08-07T14:31:09-04:00July 27th, 2020|Data Analysis, Supply Chain|0 Comments

COVID-19 & SCM – Importance of Operations Management to Overcome the Limitations of Data-Driven

An often-heard theme in supply chain management (SCM) and COVID-19 is “data-driven” – being data-driven is the path to success. For COVID-19 “science-driven” is often said in the same sentence. For SCM demand or customer-driven replaces “science”. This blog will point out a few examples in the COVID-19 challenge demonstrating COVID-19 is an OM challenge.

Supply Chain Challenges in Turbulent Times – The Importance of Preparedness and Responsiveness

The current COVID-19 situation highlight the supply chain management challenges in any turbulent time.  In this blog we identify five key points: preparedness, larger good, anticipate, and not react to events, responsiveness, and an intelligent stochastic estimate of demand. 

COVID-19 Data Analysis Basics – Taking the Mystery Out of Smoothing Daily Counts

We see graphs of COVID-19 events on a regular basis. One of the most common is a bar chart for daily new events (COVID-19 cases, hospitalizations, deaths). Recently in presentations, smoothing methods used to overcome limitations is presenting the raw daily data. This blog will take some of the mystery out of smoothing methods.

COVID-19 Taking the Mystery Out of the APEX Curve and Some Basics on Restoring “Normal”

This blog provides some basic information on the curve, relates statistical concepts to policy and actions, and examines policy options for a safe restart relating them to the APEX curve. There are three essential groups of action to begin a safe restart: testing, detailed understanding of the impact of mitigation actions, and the ability to do detailed tracking.

Some COVID-19 Data Analysis Basics – New Events, Cum Events, and Logarithms

We see graphs of COVID-19 events on a regular basis these days. Two common ones are bar charts for daily new events (COVID-19 cases, hospitalizations, deaths) and the “sweeping curve” to capture a cumulative number of events. Additionally, log transformations are mentioned. The purpose of this blog is to shed a bit of light on these curves and the role of the log transformation.

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