Machine Learning: Optimization and Community Intelligence – A Wiser Forecasting
Learn the importance of advanced optimization for statistics (AOS) even for simple methods such as exponential smoothing and the importance of community intelligence.
Supply Chain Management – Autonomous is Far Away and Resiliency is Needed Now
Over the past few years, the chatter about the role of AI to “optimize” supply chain has been almost endless. Some of the material is great, other is hype, some conjecture, and in most cases, we will not know the impact...
Statistical Forensics: Manipulating Probabilities to Determine the Real Risk From Viruses
The risk of viruses is often a topic of conversation in current times. One of the dominant questions at social gatherings is - what is a bigger risk (defined as serious illness) this fall and winter: regular virus (REGVIR) or COVID-19...
Avoiding Data Driven Disasters – Operations Management (OM) To The Rescue
If you are thinking “machine learning and AI” will save you from data disasters – think again as the pandemic behavior is playing havoc with machine learning models.
Statistical Forensics – The Danger of Being Data and Not Operations Management Driven
As previously discussed, being only data-driven can be a road to disaster for COVID-19 or supply chain management. To avoid this disaster requires skill sets from operations management (OM). In this blog we demonstrate that the probability a person actually has COVID-19 antibodies depends heavily on other factors besides the “raw data” of the test results.
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.
Demand Management’s Partner in Crime – Central Planning
Arguably the two most important core components of managing the supply chain or demand-supply network are demand management (DM) and Central Planning (CP). CP is sometimes referred to as master planning or supply planning.
Supply Chain Challenges in Turbulent Times – The Importance of Preparedness and Responsiveness
The current COVID-19 situation highlights 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.
Lessons for COVID-19 and Supply Chain Management Models
For those that work regularly in the supply chain or managing the demand-supply network (DSN) models are commonplace to help with similar questions. This blog will provide some basics about models that all will find helpful...
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.