Quality assured with the Internet of Things

It is common practice for manufacturers to outsource large portions of their component manufacture to lower costs and reduce time-to-market. However, as Nitesh Jain writes, it’s not without risks.

As was the case with Boeing’s flagship 787 Dreamliner, outsourcing also carries risks which can result in poorer quality. In today’s highly competitive marketplace, taking high risks is unacceptable. Markets and legislative bodies are becoming increasingly unforgiving should a company breach product quality, especially when the brand promise creates such high expectations.

As the Internet of Things (IoT) gains pace, the opportunities on offer through intelligently utilising M2M data are increasing at an exponential rate. Manufacturers are now turning to M2M data – collecting and analysing it in order to create maintenance forecasts, predict failures and much more. Telematics in vehicles, smart grids, connected wearable technology and more are creating an overwhelming amount of data which manufacturers can harness to ensure quality.

Capitalise on machine data and analytics

In order to maintain high quality throughout the product lifecycle, manufacturers can capitalise on machine data and analytics to shape the quality curve at three points – component manufacture, assembly, and shipped product. Component manufacture and assembly rely on in-house factory data, whilst the third is collected from M2M Data. It is here that the Internet of Things is offering more and more opportunities.

To date, manufacturers have been largely reactive to quality problems that occur once the product has left the factory floor, but this is now changing. Failure at the shipped product stage can be due to a huge number of reasons: poor quality in shipment and installation processes, unsuitable product usage, weather and so on. However, it was not until the creation of interconnected devices that failure could be predicted and even prevented, thanks to sensors collecting data in real time and sending it back to the manufacturer.

What is now needed is a model to manage that data and translate it into meaningful insight. Once this model has been created, it will give manufacturers visibility to the product and customer in real time, meaning issues can be identified sooner, and even fixed in a semi-automated fashion, potentially even before customers become aware of their malfunctioning machines.

Data challenges

There are two main challenges to this, firstly the extraction and separation of useful signals and data from the vast quantities that are collected; and secondly, the final creation of a data structure that can meet new challenges and questions asked of the data collected. Manufacturers, therefore, need to start asking themselves the following questions now:

  • Should all data be captured, or should smart filters be applied at the point of capture?
  • How do we determine the key metrics so we know what data to capture and transform to the right level of granularity?
  • Is our data platform reliable enough to analyse data in motion? Can it work in real time?
  • Is our architecture future proof? Can it assimilate newer formats as device usage changes?

By not starting to look for answers to these questions now, manufacturers are putting themselves at risk of falling behind in the quality assurance race. The Internet of Things is here to stay and even if smart devices may not be the norm in all fields yet, they soon will be. By looking to take advantage of M2M data now, manufacturers can be prepared for when the majority of devices are interconnected, be that something as large as a tanker or plane or as small as a kettle, ensuring quality and reassuring their customers.

The author is Nitesh Jain, Wipro

Nitesh Jain of Wipro
Nitesh Jain of Wipro


Nitesh Jain is GM & Global Practice Head – Analytics & Insights, Advanced Technologies & Solutions, Wipro Ltd. He is highly experienced in creating analytics projects for a range of vertical sectors. At Wipro he is responsible for providing vision and strategy to the Analytics and BI practice.




Building an intelligent IoT with edge fabric

Posted on: August 18, 2022

As the popularity of Edge technology and smart devices increases, we see that there is no bar when it comes to the quantity of data that companies can use to improve their decision-making process. Contrary to this opportunity, many organisations still limit the quality, variety, and extent of data that they can make use of

Read more

MQTT X CLI makes its debut executing MQTT operations has never been easier

Posted on: August 18, 2022

Morgan Hill, CA – EMQ, a global provider of open-source IoT data infrastructure solutions, this week announced the release of MQTT X v1.8.0 to the general public. This release carries significant improvements and strives to enable IoT developers to execute MQTT operations easily and quickly. Additionally, MQTT X v1.8.0 introduces two powerful tools aimed to

Read more

9 IoT applications that will change everything

Posted on: September 1, 2021

Whether you are a future-minded CEO, tech-driven CEO or IT leader, you’ve come across the term IoT before. It’s often used alongside superlatives regarding how it will revolutionize the way you work, play, and live. But is it just another buzzword, or is it the as-promised technological holy grail? The truth is that Internet of

Read more

Which IoT Platform 2021? IoT Now Enterprise Buyers’ Guide

Posted on: August 30, 2021

There are several different parts in a complete IoT solution, all of which must work together to get the result needed, write IoT Now Enterprise Buyers’ Guide – Which IoT Platform 2021? authors Robin Duke-Woolley, the CEO and Bill Ingle, a senior analyst, at Beecham Research. Figure 1 shows these parts and, although not all

Read more

CAT-M1 vs NB-IoT – examining the real differences

Posted on: June 21, 2021

As industry players look to provide the next generation of IoT connectivity, two different standards have emerged under release 13 of 3GPP – CAT-M1 and NB-IoT.

Read more

IoT and home automation: What does the future hold?

Posted on: June 10, 2020

Once a dream, home automation using iot is slowly but steadily becoming a part of daily lives around the world. In fact, it is believed that the global market for smart home automation will reach $40 billion by 2020.

Read more

5 challenges still facing the Internet of Things

Posted on: June 3, 2020

The Internet of Things (IoT) has quickly become a huge part of how people live, communicate and do business. All around the world, web-enabled devices are turning our world into a more switched-on place to live.

Read more

What is IoT?

Posted on: July 7, 2019

What is IoT Data as a new oil IoT connectivity What is IoT video So what’s IoT? The phrase ‘Internet of Things’ (IoT) is officially everywhere. It constantly shows up in my Google news feed, the weekend tech supplements are waxing lyrical about it and the volume of marketing emails I receive advertising ‘smart, connected

Read more
IoT Newsletter

Join the IoT Now online community for FREE, to receive: Exclusive offers for entry to all the IoT events that matter, round the world

Free access to a huge selection of the latest IoT analyst reports and industry whitepapers

The latest IoT news, as it breaks, to your inbox