Author: Kumar Singh

Using Amazon’s apparel manufacturing patent for this example You may be familiar that in 2015, Amazon filed for a patent for an automated apparel manufacturing

Technical content – not a generic read. Data set used in the model can’t be shared due to confidentiality reasons. The assembly line pictures used

Convolution Neural Networks (CNNs) simplified for Supply Chain executives ” The invention of convolutional neural networks (CNNs) applied to vision represents by far one of

Scenario Let us assume that we have a Fashion apparel company that manufactures 11 different SKUs using different production lines. Each production lines produces discrete

“When the wind of change rises, some people build walls while others erect windmills”  – Old Chinese saying We are swamped with Analytics consulting companies

Smart manufacturing initiatives are not just about factory floors. Its positive impact will propogate across related functions, as overviewed below: Marketing: Marketing will be able

Your Journey towards a “Smart Enterprise” It is not news by now that AI is a critical component in helping organizations transform the way they

Introduction Developing Manufacturing 4.0 capabilities does not happen overnight. Lot of groundwork needs to be done in order to create the foundational infrastructure.  However, that

Helping a Logistics Company save millions on future maintenance costs In August this year, someone in my network who works as a Data Scientist for

Millennials, Diversity and Disruptive Technologies If I were to highlight one, single most important trait of the group of people known as Millennials, it will

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

Teams exist to create a unified amalgamation of various skills The reason teams exist is because it is supposed to bring people of varied skill

On Edge Analytics will drive Industry 4.0 networks On-edge analytics are the newest class of analytics in the IoT but few of us know that

Although analytics should be agnostic with regard to how the data is fed to the platform, we have to consider several potential pitfalls that can affect the

Alteryx is a powerful tool for data blending, data cleansing, joining and aggregating data to help solve complex business problems accurately and quickly. This post

AI will help Manufacturing attain its eternal goal Manufacturing strategies have always strived to produce high quality products at a minimum cost. For many best

India missed the bus decades ago – I will let Statistics do the talking As you can see from the chart below, in 1987, GDP

Untapped Opportunities Galore As I have mentioned in many of my previous posts, Industrial equipment has been coming loaded with sensors for years now. The

Amidst all the hype around Industry X.0, you probably already know that implementing predictive maintenance capability has several advantages which include reducing machine downtime and

Trucking is a massive industry in US that affects virtually every American. Trucks move roughly 70 percent of the nation’s freight by weight, according to

It should be stale information to you by now that analytics can add value in a multitude of areas within your organization.  This also extends

It is NOT just about Sensors and IoT Technology stack Unfortunately, many “experts” with limited understanding of Industry X.0 landscape may make you believe otherwise.

The main goal of the inventory planning process is to provide the safety and sometimes cycle stock parameters to other planning functions, namely: 1. Production

Logistics has been redefined in last few years, bringing it to the forefront within the broader Supply Chain umbrella and resulting in a new interpretation