Author: Kumar Singh

Commonly leveraged Machine Learning methods Machine learning methods in transportation are currently contained primarily within the domain of asset management (primarily predictive analytics) and route

This article is a result of my initial days of research late last year into applications of IoT in Healthcare and BioPharma. These are some

Why not use exponential advances in Technology and Computing power Traditional Inventory Optimization (IO) and Multi Echeleon Inventory Optimization (MEIO) algorithms identify cost savings opportunity

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

Like many other integrated planning and Supply Chain planning processes, S&OP also has evolved significantly with recent advances in technology and computing. Those familiar with

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

Introduction In the waves of hype around Advanced analytics, we may sometimes lose the focus on the fact that there will always be some form

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

ERP systems are becoming Supply Chain planning bottlenecks Few companies realize that they are typically trying to improve their Supply Chain capabilities based on the

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

Establishing direct link between shop floor operations and profitability In my perspective, an optimal manufacturing operations should be economically choosing machining conditions to meet required

“Great innovation needs great Marketing” – Denise Yohn, Leading Brand Consultant Wonder why……? Do you wonder why the market is extremely forgiving towards likes of

As the business landscape around us evolves at a rapid pace, organizations that have a vision of the future are scrambling to implement Industrial Internet

If you follow the automotive industry, you have probably read this WSJ news article: Detroit vs Tesla So….how can Detroit biggies chart a path out

Predictive Maintenance is the new buzz word in Manufacturing these days, thanks to advances in Machine Learning methods, specifically predictive analytics methodologies. However, I always

Before you ride the hype wagon again…. Yes, it will be so sweet to have an IoT enabled network but have you given a thought

Every weekend I go book hunting, mostly to old book shops in flea or street markets. This book hunt is mostly related to non tech

As I have insisted consistently in my articles and posts on LinkedIn, the real value of Smart Manufacturing will be in the data generated by

Industrial engineers play a major role in Supply Chain that spans both Manufacturing and Logistics. In this post, I will discuss the role Industrial Engineering

Two different worlds of Silicon Valley and Bentonville  “….The episode illustrates a broader culture clash at the world’s largest retailer, one that pits its Bentonville,

I said so….. In July last year, I made a post on LinkedIn suggesting that eventually Amazon will go for both FedEx AND UPS. Looks

If you follow trends and news in the AI world, specifically those recently coming out of Davos, you may have read about this: I interviewed