Today in manufacturing there has been a lot of investment in automation, supervisory controls, quality, and execution systems. The amount of data produced and now being captured is staggering. The data captured in industry will re-define what is “big” in big data. Yet, for all this investment: Equipment still fails. Scrap
“When it comes to the Internet of Things, the future clearly belongs to the Things”. I made this brash statement in a previous post (“Cloud encounters of the Fifth Kind”) referring to machine-to-machine (M2M) being the fastest growing component of non-human traffic on the Web. I say “brash” because that
Warranties have a long - and some might say - interesting past. But the future is even brighter. New technologies and data sources are transforming our understanding of field quality, enabling deeper insights into product performance and customer preferences. These breakthroughs are accelerating the quest to reduce defects and satisfy customers.
Once upon a time: The toy industry has invited me to the world‘s largest toy fair, which took place recently in the city of Nuremberg. With close to 3,000 exhibitors the toy fair is bigger than ever before. Success is the theme of the event, and most German retailers cannot complain with consecutive
Recently, I had the opportunity to talk with James Haight of Blue Hill Research regarding the Internet of Things and how it is and will impact manufacturers. We also dipped our toes into other topics, including text analytics and the interesting combination of all these trends. The conversation was captured
By now, we have all heard about the Internet of Things (IoT), or the Industrial Internet. Across industries, organizations are attempting to instrument and measure all critical business systems and assets in an effort to drive improved production and service delivery. It is estimated that by 2020, companies will spend
“Let’s assume a normal distribution …” Ugh! That was your first mistake. Why do we make this assumption? It can’t be because we want to be able to mentally compute standard deviations, because we can’t and don’t it that way in practice. No, we assume a normal distribution to simplify
The first sensors appeared many decades ago, and have been around for quite some time in various forms, even though they’ve really only entered the popular vocabulary over the past few years thanks to the Internet of Things. How do sensors work? A sensor detects events, or changes in quantities, and
Perhaps nowhere is the saying “time is money” more true than in the construction industry. There is no better indicator of project cost and budget over/underrun than the number of days on-site. Reducing that number has a near 1:1 relationship with cost cutting, so it’s no wonder that days on-site
Have you ever thought about how to improve your Sales and Operations Planning (S&OP) process beyond where you might be today? There's certainly no lack of advice on the topic of S&OP on the Internet. Some articles focus on the overall process while others focus on S&OP software and related support tools. In
