For those who are unaware, every two years here at LNS Research we engage with MESA International to conduct the “Metrics that Matter” research study – focused on identifying the most important and cutting edge trends in manufacturing; particularly on the key performance indicators (KPIs) that companies are using as well as the improvements displayed therein.Read More
GE Invests in Sight Machine to Build out Big Data and IIoT Capabilities
GE Ventures, the start-up collaboration division of General Electric, has invested $13.5 million in Sight Machine, a manufacturing analytics solution provider with customers in the automotive, life sciences, and consumer goods industries. The move comes as part of the industrial/IT giant’s initiative to gain more data from factory floor machines and assets, and as a part of its larger strategy to shift toward a digital company at the forefront of Industrial Internet of Things (IIoT), which was signaled in its September 2015 announcement of the GE Digital business segment.Read More
We at LNS Research have spent the past several years researching, writing, advising, and consulting on Big Data Analytics in the industrial sector. As part of our Metrics that Matter research we have shown how manufacturers believe areas like business model transformation and asset value.Read More
As we move into 2016 with high hopes for manufacturing in general and the industrial software industry in particular, we are delighted to announce the fourth installment of the Metrics That Matter (MTM) survey jointly presented by MESA International and LNS Research.Read More
The LNS Research Asset Performance Management (APM) survey has clearly shown by almost 50%, that the number-one goal to improving asset performance within an organization is to have better operational performance. So, now the questions to ask and discuss are:
- How do I, as an APM software user, prove that our organizations investments in the APM landscape are working?
- How do I prove this by providing visibility within the department all the way up at the senior level of the organization to make sure this is the case?
As organizations look to improve their maintenance effectiveness, many have taken the step of identifying critical production assets and collecting actual operational data such as run times and cycle counts on those assets. Often this is done automatically by linking to the programmable logic controller (PLC) or similar level one control element. In other cases, a process data historian or MES or MOM application may link to the process automation equipment and will then serve as the bridge to move that data into the APM environment.
Sometimes we get so wrapped up in our work we don’t have time to follow all of the social media posts and utilize all the online resources to stay on top of topics we need to cover. So as you start out 2015 we went back and looked at what were the top posts about Asset Performance Management (APM) (excluding vendor-specific posts) based on both page views and Twitter likes and retweets and LinkedIn likes and comments.
Reliability-centered maintenance (RCM) has been defined in numerous ways over its evolution, from a statistics-based approach, to analyzing equipment failures, to the philosophical or stylistic broader definition more commonly accepted today which espouses a spectrum of styles from reactive maintenance to proactive maintenance with both calendar and condition-based preventative maintenance within those bounds.
As regular readers of the LNS Research blog are aware, we are big proponents of using metrics. Our Metrics That Matter research done in conjunction with MESA highlighted what metrics manufacturers are using to manage their operations. Asset Performance Management (APM), like Manufacturing Operations Management (MOM), also has a rich set of metrics with twenty or more commonly used today.
On April 16, 2014, LNS Research and MESA International held a webcast event entitled, “2013-2014 Manufacturing Metrics that Really Matter.” By the end of the event, we had received a barrage of questions from attendees, many of which couldn’t be addressed live due to time. In this post, we’ll address the top 10 questions that were asked.