Vivek Murugesan

Vivek Murugesan is a Research Associate with LNS Research. He conducts survey and data analysis, manages survey and data acquisition, develops data models, and assists analysts with research and analysis across the breadth of coverage areas for LNS. Vivek holds a Masters in Industrial Engineering from Northeastern University, with a focus on supply chain and data analytics.
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Recent Posts

Two Sides of the Same Industrial Transformation Coin: APM 4.0 and Factory of the Future

Posted by Vivek Murugesan on October 24, 2019

The relationship between asset performance and operational performance are well known and pervasive. All too often, however, companies manage them in sub-optimized in silos. Recent discussions with clients clearly reinforced our insight that operating in silos is counter-productive to industrial transformation (IX). It doesn't matter if the company is an asset-intensive business and the most critical metrics are uptime and reliability, or a product-centric manufacturer where quality and efficiency are most critical. If the organization doesn't manage these things holistically, it will lose ground to competitors.

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Categories: Industrial Transformation / Digital Transformation, IT/OT, Operational Architecture, Asset Performance Management (APM), Factory of the Future

What’s the Difference Between BI and Industrial Analytics?

Posted by Vivek Murugesan on April 03, 2019

During a discussion on industrial analytics at a recent Smart Factory conference in Columbus, Ohio, an IT professional in the audience said that he planned to upload his machine data to online analytical processing (OLAP) cubes and run Business Intelligence (BI) applications on top of the data. The analytics professionals on stage appeared horrified for a moment and went to great lengths to explain the distinction between industrial analytics and BI.

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Categories: Industrial Internet of Things (IIoT)

Converting Data to Decisions: Why IIoT Technology Alone Isn’t Enough

Posted by Vivek Murugesan on January 31, 2019

The manufacturing industry has had a reputation for being late on technology adoption ever since the steam engines brought the first industrial revolution forward. Even today, while the consumer market has seen the likes of Uber, NeXT, and Spotify leverage latest technologies like Big Data, machine learning, and sentiment analysis to provide products with cutting-edge technology, the manufacturing industry is several steps behind. Even among the manufacturers who are ahead in the technology adoption curve, a good percentage of them have had trouble scaling pilot projects into financially successful projects across the organization.

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Categories: Industrial Internet of Things (IIoT)

Data Collection in an IIoT-Based MOM World

Posted by Vivek Murugesan on December 14, 2018

Until recently, manufacturing operations management (MOM) software and Industrial Internet of Things (IIoT) platforms were two distinct solutions serving different purposes and providing separate capabilities. That’s no longer the case. MOM software vendors today embed several IIoT capabilities that enable the applications to run at any level in the operational structure. This new degree of connectivity, together with smart connected devices and inexpensive sensors have enabled manufacturers to replace older, monolithic MOM solutions with IIoT-based MOM applications in the plant.

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Categories: Manufacturing Operations Management (MOM), Cloud, Industrial Internet of Things (IIoT)

Smart Manufacturing Experience 2018: IIoT, VR/AR, 3D Printing, and Whatnot

Posted by Vivek Murugesan on June 08, 2018

The Smart Manufacturing Experience launched its first edition of manufacturing event on April 30, 2018 at the Boston Convention Center. The 3-day event, which focused mostly on Smart Manufacturing, the Industrial Internet of Things (IIoT), additive manufacturing, and augmented reality/virtual reality (AR/VR), witnessed several hundred presenters and attendees from an assortment of companies including IIoT Platform start-ups, industrial analytics providers, 3D printing companies, and big technology players like Microsoft, PTC, among others.

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Categories: Cloud, Industrial Internet of Things (IIoT), Industrial Transformation / Digital Transformation, Industry 4.0 / Smart Manufacturing, Artificial Intelligence / Machine Learning (AI/ML)

Quality Leaders Explain How Customer Complaints Work for Them

Posted by Vivek Murugesan on November 09, 2017

Quality leaders often view customer complaints as a reactive metric and the last line of defense in their arsenal. Though the term may seem pessimistic on a first glance, when collected, analyzed, and promptly handled, customer complaints have the potential to be a net positive for manufacturers. Not only from a metrics and operations standpoint but also in enabling closed-loop processes and driving a culture of quality throughout the organization.

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Categories: Enterprise Quality Management System (EQMS), Cost of Quality (CoQ)