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
Is your data really generating Insights?
There is a difference between information and insight In this analytics powered age where we are getting drenched with analytics hype, everyone around us suddenly
Applying Deep learning in Manufacturing: An Overview
Introduction Deep learning algorithms have many applications in Manufacturing analytics domain. The core of Smart factories, in my perspective, is embedded in the right and
Building best in class Sales & Operations Planning (S&OP) teams
It is all about teams A highly collaborative process like S&OP is all about the team. How you have put together your core S&OP or
Post Coronavirus: Building resilience in your China Supply Chain
“The secret to winning is not so much in having a specific action plan, but to be flexible enough to put almost any plan into
Four ways to prepare your Supply Chain for Recession
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)
Your first Warehouse IIoT Analytics project ? Should be your Dock Operations
The data”Black hole” of your warehouse operations Warehouses and DCs have tapped technology to closely monitor, analyze and adjust operations within the four walls of
Designing your AI Solutions: Using the AI Canvas
Just like some people binge watch their favorite TV series, I binge read (whenever I get a chance). This weekend I got a chance to
Multi Echelon Inventory Optimization (MEIO): Challenges & Impact
Supply chain executives worldwide face an ongoing dilemma: improve customer service levels but don’t create excess or obsolete inventory at the same time. It’s a
Analytics approaches in digital manufacturing
One of the primary advantages of digital manufacturing is that the data generated can be leveraged to do various forms of analytics. When an organization
Successful Omnichannel Marketing strategy needs an aligned Supply Chain strategy
The OmniChannel Tsunami Customers in the Digital age have become increasingly mobile and channel-agnostic. There is a constant flux from one channel to another—from online
Combining Blockchain and Additive Manufacturing : The Next step of evolution in On demand manufacturing
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 Architecture for Internet of Things (IoT) : An Executive Summary
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
Designing data processing architecture for IoT Analytics
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
Lambda Architecture : Capturing data from sensors in an Industry 4.0 setup
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
Defining Data & Analytics architecture for an Industry 4.0 Network : A Complete Primer
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
Machine Learning in Transportation Analytics
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
Internet of Things (IoT) in Healthcare – An Introduction
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
Taking Inventory Optimization all the way to Warehouse shop floor processes
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
Lessons from Shaka Zulu for Supply Chain Analytics solution development
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
Aligning IIoT architecture with Product Vision: An illustrative example
What to evaluate to determine Gap (Current state of Product vs Future state vision) ? Here are some criteria that can be useful for the
How your Business challenges impact Warehouse operations
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
A guide to leveraging Kraljic Matrix for Strategic Sourcing
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
Avoiding five common pitfalls of Sales & Operations Planning (S&OP) processes
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
Using Logistics Regression for economic evaluation of Predictive Maintenance initiatives
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
