COVID-19 has exposed the inherent vulnerabilities in supply chains. With COVID-19, major parts of the world continue to impose social distancing and unpredictable lockdowns, leaving many organizations unable to decide on a reasonable course of action. Reason: today’s supply chains are extremely complex. Over the last few years, supply chains have been…Continue
Added by Vinaksh on October 7, 2021 at 7:30am — No Comments
In the environment of Industry 4.0, the role of PLM is expanding. The interplay between PLM and Industry 4.0 technologies - like the Internet of Things (IoT), Big Data, Artificial Intelligence (AI), Machine Learning, AR/VR, Model-Based Enterprise (MBE), and 3D Printers - is on the rise. But Industry 4.0 is unlike any previous industrial revolution.…Continue
Added by Vinaksh on August 30, 2021 at 1:30am — No Comments
Supply chain disruptions are anything but uncommon. 2018 saw 2,629 disruption events being reported.[i] In 2019, 51.9% of firms experienced supply chain disruptions, with 10% experiencing six or more disruptions.[ii] Largely, these were man-made (79%).…Continue
Added by Vinaksh on August 29, 2021 at 11:30pm — No Comments
Although COVID-19 has affected every industry, there are some it has changed more than others. Retail and Consumer Packaged Goods (CPG) are two such industries that have undergone irreversible transformation. Fortunately, most changes driven by the pandemic will prove to be positive in the long term. For the moment, however, CPG organizations…Continue
Added by Vinaksh on July 2, 2021 at 12:30am — No Comments
This article was written by Sanjib Sharma.
Markov Chain Monte Carlo based Bayesian data analysis has now become the method of choice for analyzing and interpreting data in almost all disciplines of science. In astronomy, over the last decade, we have also seen a steady increase in the number of papers that employ Monte Carlo…Continue
Added by Andrea Manero-Bastin on January 6, 2021 at 11:50am — No Comments
Imagine you are a company selling a fast-moving consumer good in the market.
Now, how to find out in which state the customers would be after 6…Continue
In this article, a semi-supervised classification algorithm implementation will be described using Markov Chains and Random Walks. We have the following 2D circles dataset (with 1000 points) with only 2 points labeled (as shown in the figure, colored red and blue respectively, for all others the labels are unknown, indicated by the…Continue
Added by Michael Walker on December 16, 2013 at 9:30am — No Comments
Added by Michael Walker on February 21, 2013 at 9:00am — No Comments