Industrial IoT (I-IoT) and IoT…what is the difference?

As if IoT in itself was not a jargon that you were trying to understand, you may run into another one- I-IoT (Industrial IoT). Since I-IoT is the technology behing smart factories, if you are a Manufacturing professional trying to get up to speed with digital manufacturing aspects, it is essential that you understand the…

Defining value proposition for predictive maintenance modeling

The Hype and the reality One of the important applications of IoT in manufacturing and operations that we keep hearing about is predictive maintenance. When planned, modeled and executed properly, it is an extremely powerful capability to build. If you have ever work on manufacturing floors, you are probably pretty familiar with the impact of…

Why Reliance will give a hard time to Amazon and Walmart

Reliance Industries has always been one of my favorite companies and the primary driver behind it has been the great founder, Late Mr. DB Ambani. He has been an inspiration for two generations of Indians. I find Mukesh to be much like his father, not trying to hog limelight but aggressively pushing new ideas and…

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 invests millions in digital manufacturing to setup a “smart” factory and in developing a digital twin, the real ROI comes from exploiting the data that these smart factories generate. There…

Analyzing the economies of predictive maintenance

The economics of predictive maintenance may not be entirely obvious. Believe it or not, it does not always make sense, even if you can predict early failures accurately. It many cases, you will actually lose money by doing it. Even when it can save you money, there is an optimal point for when it should…

Establishing an Algorithm governance strategy: Best practices-Part (I/II)

Algorithms are the future and will become critical assets for organizations in the near future If you have been following the much deserved hype around Machine Learning and Artificial Intelligence, you are no stranger to the fact the organizations of tomorrow will be run algorithms (of course “trained” and managed by human intelligence). In fact, many…

Grateful to readers for above expectation response to my book giveaway

Couple of weeks ago, I shared the details about my for charity book launch and giveaway. To quickly recap-My book is focused on introducing supply chain functional managers to the world of advanced analytics, as applied to their domain (supply chain and operations management). I planned to give 100 free print copies to first 100…

Challenges associated with analyzing IoT Data

Why the sudden Hype? For many of you who have worked in manufacturing for a long time, this sudden hype around IoT data may be confusing. Sensors have been used to track data in manufacturing for decades now. So why we are seeing this sudden IoT hype now? The fact is, IoT is not really…

Why transportation route optimization initiatives fail

In one of my jobs early in my supply chain analytics career, I did a rotation in Transportation planning and analytics for a leading workspace solutions manufacturer. The project I was assigned to pertained to optimizing inbound shipments from suppliers who were within trucking distance from our manufacturing plants. One key lever of this initiative…

How Advanced analytics is helping the evolution of Lean Manufacturing

In few of my previous posts, I have hypothesized scenarios where Machine Learning algorithms are managing key Supply Chain planning aspects. As the field of Artifical Intelligence evolves at a rapid pace, Machine learning’s “potential to deliver real-time optimization” is only starting to emerge, and evolution of the technology will accelerate over the next three…

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 double-edged sword for supply chain performance. Because of variability in demand and supply, increasing customer service levels can lead to higher levels of safety stock. Improving cash flow by indiscriminately…

Avoiding the pitfalls of Sales & Operations Planning (S&OP) process

S&OP processes have really evolved with recent advances in technology and computing. Key aspects of any S&OP process were visibility, collaboration and shared insights. Data and analytics tools and technologies have acted as enablers to help S&OP managers successfully deliver these aspects of S&OP process. However, technology is always an enabler, not a solution in…

Data is NOT the new currency !

We are starting this week with the news of Sears filing for Bankruptcy. Once a retail icon, Sears has been in a downward spiral for some time now so this does not come as a surprise. It was more a question of “When” rather than “Whether”. Ever since the Data Science hype began (much of…

Can Manufacturing 4.0 help revive American Manufacturing sector?

The state of Manufacturing sector has been an emotional topic for many Americans.  Political campaigns have centered around the issue of the decline of American manufacturing. Radical ideas has been proposed and recently, radical steps have been taken to revitalize American manufacturing. To be candid, Manufacturing in America may never come back to the levels…

The Story of a failed analytics professional: A Short Sci-Fi story

The year is 2029. Alice rushes towards the elevator, trying to balance the coffee and her bag as she makes the run. Watching her rush, a colleague blocks the elevator door, allowing Alice to get into the elevator. She thanks the person with a smile. Ever since she has joined WonderLand Inc., she has been…

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 binge read  “Prediction Machines”. With all the hype around AI, this book bridges the gap between the technical aspects and the business aspects of Artificial Intelligence-so it is focused primarily…

Supply Chain Network Modeling: Art or Science?

One of the first assignments in my modeling career was to re-design the European distribution network for a leading Electronics manufacturer. I was a rookie modeler back then, and the primary goal for me in that project was to learn from the lead modeler. Apparently, another consulting company had worked on developing a model for the client a…

Logistician’s complex challenge: The Last Mile

Customer interaction with the Last Mile We recently ordered a mattress from a leading e-tailer for our guest room. Due to some issues at the logistics service provider’s end, the delivery was delayed. We timed our order to coincide with the arrival date of our guests so we ended up complaining to customer service of the e-tailer. In addition…

Bridging Supply Chain Strategy Gap through Network Design & Optimization

As Supply Chains become more complex, organizations have started investing heavily in processes and tools to build and run efficient and effective Supply Chains. The advent of Analytics and Data Science revolution has led companies on shopping sprees -buying tools  and technologies to transform their Supply Chains. There are now tons of Supply Chain “Analytics”…

The Rise of the Analytics hybrids

After graduating from high school and passing my engineering entrance exam in India, a major decision that I needed to make was which engineering specialization I should opt for. It was the era of Dotcom Boom, every other person I went to school with was opting for either software engineering or computer science. So when…