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Welcome 2019

Supply Chain Shaman

It has been a while since I penned a blog post on New Year’s predictions, but today as I sit and drink my hot chocolate, I feel the itch to write. The Battle For Analytics Is Waging. Descriptive analytics is mainstream. Past Prediction Articles: If you want to read my past trend articles checkout the article from 2018 and 2011.

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Analyzing Supply Chain Risk

Enterra Insights

One answer is advanced analytics. Big Data and Advanced Analytics. Johnston notes that a rapid rise in e-commerce during the pandemic — “ten years growth in just the first three months of 2020” — made it “apparent that predicting future supply chain demand using outdated data is no longer feasible.”

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2012 Supply Chain Predictions: Is the End of the World Nigh?

Supply Chain Network

Image via Wikpedia It’s that time, once again, when everyone predicts what will happen in the coming year. But 2012 is an extra-special year; it carries heavy historical baggage chock full of dire predictions. In the tradition of David Letterman, (in no particular order) let’s hit the Top 10 Supply Chain Predictions for 2012.

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What is Bullwhip Effect? Supply Chain Management Explained

ThroughPut

Demand Forecast Updating The beginnings of the bullwhip effect can frequently be traced to techniques used for predicting consumer demand. Rationalizing Product Variety Reducing the number of product variations and focusing on more standardized products can simplify the supply chain, making predicting and managing demand easier.

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Autoliv’s Supply Chain Risk Management Journey

Logistics Viewpoints

The main take aways from the presentation earlier this year were the following: The auto industry has made supply chain risk management a priority since the Fukushima nuclear disaster in 2011. If we faced that situation, our risk analytics would include financial assessments of potential suppliers for this construction project.

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Use of Predictive Analytics in Supply Chain - Infosys Blogs

Infosys Supply Chain Management

« Managing After-Sales Service by coupling CRM and Asset Management | Main | Adding intelligence in the Forecasting process to support Supply Chain Segmentation » Use of Predictive Analytics in Supply Chain. Predictive analytics uses several techniques to analyze past events to make predictions about future.

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Supply Chain Risk: It’s Not Whether Severe Weather, but When

Enterra Insights

” They also found, “Companies increasingly have access to the advanced data analytics and best practices necessary to make their supply chains more resilient.” The previous record for billion-dollar events in a year was 16, in 2017 and 2011. ” Supply Chain Climate Change Risks are Rising. In 2021, the U.S.