Author: Kumar Singh

Important note: I have done my best to translate everything into a “Business reading” format but there is some technical Machine learning and Deep Learning

Introduction The economics of predictive maintenance may not be entirely obvious. As I have mentioned in my posts and articles often, it does not always

Analytics is increasingly playing a prominent role in the the world of Supply Chain, bridging the gap between the physical, information and financial flows, and

Solution Architecture This post summarizes my attempt to mimic what a “real time” Supply Chain planning algorithm may look like, structurally, in the future. Let

The evolution of your Supply Chain capabilities depends on where your current state lies. The infographic below provides a very high level view of different

The Generic AM Process Additive Manufacturing (AM) involves a number of steps that move from the virtual CAD description to the physical resultant part. Different

Both AI and Internet of Things (IoT) are powerful tools that can better enable warehouse and distribution center activities to keep pace with rapidly shifting

Prepare for the inevitable In a 2010 HBR article titled “Roaring out of Recession”, the authors analyzed data from three different recessions (1980,1990 and 2000)

Note: As a standard practice, I will gradually include a plagarism detection link in all the articles on my blog site. You can use the

Moog’s Online Parts Marketplace- VeriPart Earlier this week, I came across a news article in WSJ that highlighted an excellent use case of applying Blockchain

Deep Learning in IoT In the era of the Internet of Things (IoT), an enormous amount of sensory data for a wide range of fields and

There are some key cloud services that are likely to be employed in your IoT data processing environment. Both AWS and Microsoft Azure have IoT-specific

Industrial Internet solutions gather data from smart devices “at the edge” in field locations that are often remote. These devices typically stream data that eventually ends up

while the real goldmine in an Industry 4.0 network is in leveraging the data captured strategically, careful and meticuluous planning if developing an Analytics architecture

The Legend of Shaka Zulu For those who are not familiar with Shaka Zulu, he was the greatest Zulu warrior of all times. He ended

Introduction: Link between Strategy and Operational practices Back in 2016, I wrote an article on LinkedIn that followed the linkage of Corporate strategy to Operational

Introduction One of the key milestones of procurement transformation was a paper by Peter Kraljic in 1983 in which he described a way of analyzing

Supplier Selection Problem: Ranking of Suppliers In real world, sourcing executives generally have a large pool of suppliers to select from.  In terms of leveraging analytics,

I have received few requests asking for my 2 cents on learnings from Coronavirus epidemic impact on Supply Chains so here we go (I will

Manufacturing Digital twins are becoming the new normal fast Chances are that every time you hear about Digital Twins, it is in the context of

The Long tail of Machine Learning becomes longer in Supply Chains In layman’s terms, what the long tail of Machine learning entails is that it