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About LNS Research

LNS Research provides executives a platform for accessing unbiased research and benchmark data to improve business performance

About The Blog

The LNS Research Blog provides an informal environment for analysts to share thoughts and insights directly with our community on a range of technology and business topics

Latest Posts

  • Early Findings in LNS’s Industrial Energy Management Research [DATA]
  • The (Not-so-distant) Future of Manufacturing Software Platforms
  • The Missing Link For Managing Quality, Risk, and EH&S in Life Sciences
  • Companies With EQMS Outperform Others in OEE Performance [DATA]
  • New Intelligent Energy Report, Farm to Fork Traceability, and more...
  • Enterprise Energy Management for Industrial Companies
  • Offshore Wind Energy in Europe, The Big Three for Big Data, and more...
  • Why Design-Focused Firms Might Use PLM as a Quality Platform [DATA]
  • Insights from the MESA N.A. & Industry Week Best Plants Conferences
  • Understanding Energy Trends, Introduction to 3D Printing...[VIDEOS]

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LNS Research Launches New Blog

Posted by Matthew Littlefield on Tue, Dec 20, 2011 @ 01:13 PM
  
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We are very excited to be delivering this first blog post. It means we are well on our way to launching LNS Research and changing the way executives percieve and use industry research.

It is our belief that data is always open to interpretation, which is why we plan to become the first major technology research firm to allow clients direct access to benchmark data through our visualization and statistical tools.

For thought leadership sent directly to you, click to subscribe to our blog today.

Through our platform, clients will have the ability to share their experiences, learn from best practices and thought leadership in the research library, and benchmark their operations against peers through the use of our data visualization and statistical tools.

Upcoming Research Projects

2012 will be a very important first year for us and there are 5 major areas we plan on conducting research to get us started. These research areas will include the following:

Enterprise Quality Management Software

Quality has long been a focus at leading firms, however, the way companies think about quality and the way companies architect IT systems to support quality is often disconnected. In 2012, LNS research will examine how leading firms are using EQMS (Enterprise Quality Management Software) to manage quality business processes at the enterprise level and infuse quality management best practices across engineering, manufacturing, supply chain management, procurement, and service. Below is a graphical depiction of how LNS Research believes many of these leading firms are beginning to model these processes.

Enterprise Quality Management Software, EQMS, Quality Management, QMS, Quality System Architecture

Manufacturing Operations Management

Leading firms are moving away from plant level MES (Manufacturing Execution Systems) to begin managing the entire plant network holistically. These new MOM systems are leveraging native BPM (Business Process Management) technology and unified data models to reduce the time and cost of implementations as well as provide a more interoperable and collaborative environment. This interoperability will begin to move both up and down the technology stack, with major interoperability enhancements between enterprise applications like ERP, PLM, and plant level systems like DCS, PLC, and SCADA anticipated for 2012.

Sustainability

Momentum behind corporate sustainability initiatives at many of the world’s most successful companies will only continue to build in 2012. The pressure is on for these companies to deliver tangible results. It is expected that investment in technology to support these initiatives will continue to grow. Key areas of investment will include: product safety and traceability, sustainability performance management, energy management, carbon management, EH&S (Environment, Health, and Safety) and safety automation 

Asset Performance Management

Asset Intensive industries continue to face intense pressure to improve Returns on Assets and Operating Margins. One of the quickest and most successful ways leading companies have accomplished success in these areas is by improving the reliability of key assets and improving the collaboration between operations and maintenance. This means companies are moving from a reactive to predictive approach in maintenance, which in turn requires improved automated data collection, statistical models for predicting failures, and the right infrastructure to share this information across large enterprise. It also involves companies investing in change management so that the right metrics, incentive, and culture are established to ensure that maintenance and production are on the same page. 

Industrial Automation 2.0

LNS Research believes there has been a step change in the automation space over the past several years, requiring an entirely new approach to evaluating the value and deployment of industrial automation. Key technology trends of Industrial Automation 2.0 include the movement towards converged networks and standards, mainly involving the use of unmodified Ethernet. Additional trends of Industrial Automation 2.0 include the convergence of traditional IT and Automation networks, the use of traditional IT security solutions in Industrial settings, an increased focus on safety and energy management, and the use of a single network to manage multiple disciplines of automation. 2012 will see continued focus and refinement of the trends included within Industrial Automation 2.0.

Get Involved

We are very excited about the prospects of all these research projects. If you are interested in learning more or participating when they are launched, please share your email address with us here.

For thought leadership sent directly to you, click to subscribe to our blog today.

Tags: About LNS Research, Enterprise Quality Management Software, EQMS, Manufacturing Operations Management, MOM, Sustainability, Asset Performance Management, Industrial Automation 2.0

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