It’s an age-old problem in business. A mishap occurs, like a flawed batch of products that are produced due to an as-yet-unknown manufacturing glitch. Downtime to analyze and fix the malfunction could take hours or days, depending on the severity of the problem and whether defective manufacturing parts have to… Read More →
Manufacturers consistently face numerous risks related to protecting the operational integrity of their supply chains, including heat and vibration that can impact the operations of plant equipment and production systems to unforeseen glitches such as transportation problems, and natural disasters.
Many manufacturers have invested heavily in information technology systems to make decisions and execute plant operations. But these same firms often find that they’re missing key pieces of information needed to detect problems before they negatively affect operations.
The Internet of Things – where sensors and other devices are interconnected to one another – continues to garner attention from researchers, industry leaders, and practitioners. Biometrics Research Group Inc. forecasts that the Internet of Things will skyrocket from two billion connected devices today to nine billion connected devices by 2018…. Read More →
Manufacturers continue to invest in technology that can accelerate output while driving heightened productivity. Take D’Addario, a Farmingdale, N.Y.-based maker of musical strings for instruments such as cellos and guitars, for example.
While much of the buzz around data analysis for manufacturers has revolved around the ability to improve production via monitoring the data streaming in from machinery sensors, manufacturers can see bottom-line benefits from analyzing customer data.
Packaging goods is no secret to the consumer goods market, but unpacking the insights from the deluge of data this sector brings is a challenge for many companies. However, big data analytics can help consumer goods organizations derive value from past, present and future data and solve big business problems… Read More →
The vast amounts of data streaming into corporate networks come from numerous sources including so-called smart machines that use sensors to automatically monitor a wide variety of conditions and generate reams of performance data. For manufacturers, these Machine2Machine (M2M) interactions hold the potential to reduce cost and boost revenue. For… Read More →