ARCHIVE FOR THE ‘preventative-maintenance’ CATEGORY

Growth and revenue opportunities emerge from the advent of new business models, mergers & acquisition activity, finds Frost & Sullivan...Rebounding from a two-year slump, the non-destructive test (NDT) inspection services market is undergoing an overall transformation. The convergence of various technologies such as Big Data, predictive analytics, digital twin, cloud computing, and smart factories is enhancing growth opportunities in the market, giving rise to several new business models. Vendors are making concerted efforts to convert Big Data to smart data and shift the market from the traditional time-people business model to more proactive performance-based business models.

"Industrial Internet of Things (IIoT) and Artificial Intelligence (AI)-based NDT capabilities are altering market structures and driving the transformation of traditional business models,” said Prem Shanmugam, Senior Consultant for Measurement & Instrumentation at Frost & Sullivan. "Automation companies are increasingly repositioning themselves as service providers, while sensorization and predictive analytics have enabled vendors to develop innovative business models."

Frost & Sullivan’s recent analysis, Global Non-destructive Testing Inspection Services Market, Forecast to 2022, identifies key growth opportunities while detailing the challenges and threats. The forecast period is from 2018 to 2022, with 2017 being the base year. It covers the technology segments of ultrasonic, radiography, electromagnetic, visual inspection, and penetrant test.

 

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"This evolving market ecosystem will encourage numerous mergers and acquisitions as NDT inspection service companies look to broaden their capabilities in areas such as online monitoring, robotics, and predictive analytics," noted Shanmugam. "The convergence of dimensional metrology with NDT applications will help create a competitive advantage for NDT vendors by allowing them to expand beyond their core capabilities. For instance, technology synergies will enable vendors to use 3D portable laser scanners to scan pipeline corrosion."

Another significant benefit of applying technologies such as connectivity, cloud, and advanced analytics is that it mitigates the challenge of a shrinking pool of experienced and qualified NDT technicians. There are additional revenue opportunities to be gained by leveraging cutting-edge technologies, such as:

• AI-powered industrial robots in inspection and material handling.
• Intelligent algorithms for processing huge amounts of data in real time.
• Drones to inspect components and repair damaged components in the wind energy sector. The results will be automatically analyzed using fuzzy logic and neural networks.
• Mechanical follow-up tools to ensure adherence to the structure of the actual part or new advanced technologies such as CT 3D X-rays.
• The combined synergies of NDT inspection services with online monitoring solutions similar to condition monitoring and other ICT and advanced analytics.

Global Non-destructive Testing Inspection Services Market, Forecast to 2022 is part of Frost & Sullivan’s global Test & Measurement Growth Partnership Service program.

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Adopting IoT as part of the greater service and business environment involves keeping up with industry changes as they take place. That means incorporating better measures when needs arise in any business area and keeping cost-effective solutions in mind for the future progress of the company as a whole...

Already, 76% of companies are using IoT data analytics to establish product and/or process quality imperatives. Their decision makers can analyze IoT data to improve solution recommendations, feedback on installations, demonstrations, specific services, and others.

IoT also serves as a signifier for opportunities to improve more processes, such as identifying popular products and managing inventory.

Respondents to a recent research project undertaken by WBR and commisioned by Astea believe data should be usable in decision making at a variety of business levels. In every case, a majority of companies have either adopted IoT for specific business functions or plan to do so in the next 24 months. But companies prioritize customer-facing initiatives—service, products, and satisfaction—over internal functions such as business projections and aligning service data with financials.

 

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Customer Satisfaction & Loyalty:

73% of companies have incorporated IoT (42%) or plan to do so within 24 months (31%) for the purpose of customer satisfaction and loyalty. More companies have incorporated IoT for this purpose than for any other measured in the study.

With connected data, companies are able to understand and fulfil customer demands better thanks to improved communication. In this way, minor technological improvements can be made without delay or other consequences.

 

Service Processes & Optimization

Respondents agree that connected data and IoT have helped streamline processes across departments. By leveraging IoT data, they can measure efforts for overall growth through set channels, be they internal or service-driven.

Now, 41% of companies have incorporated IoT for process optimization, a close second to customer satisfaction and loyalty. Thirty-six percent have already incorporated IoT with service processes; more companies plan to do so within 24 months (37%) than with any other business function measured.

 

Product Uptime

Companies’ attention to customer experiences carries over to product support, where one respondent cites “notable improvements” to uptime in both industrial and consumer-driven channels. One healthcare executive says IoT helps them sustain products “during times of higher demands, especially due to the fact that these are used during medical procedures.”

More than one-third of companies have incorporated IoT for product uptime (34%); more than one-quarter of companies have plans to incorporate IoT with product uptime (30%) within 24 months.

 

Business Projections & Decisions

IoT data can be applied to various business requirements and provide essential statistics to support managerial functions. Derivations from reliable signals allow for better judgements when making business projections and decisions.

Over one-third of companies have incorporated IoT for business projections and decisions (35%); more than one-quarter of companies have plans to incorporate IoT with business projections and decisions (27%) within 24 months.

 

Predictive Maintenance

Respondents’ ambitions for better response to maintenance needs extends to real-time automated reporting, a better understanding of their products’ “general maintenance structure,” and even signals for customers to be proactive—to seek out maintenance themselves.

Several respondents cite their use of predictive reporting for scheduling, sustainability, and research methods, among others. Only 32% of companies have leveraged IoT for predictive maintenance; however, 29% plan to do so within 24 months.

 

Aligning Service Data with Financials

Fewer companies have incorporated IoT to align service data with financials (26%) than any other business function in the study. But the data suggests this is a growth area. More companies (61%) are either planning to incorporate IoT in this way within 24 months or are interested in incorporating IoT in this way than with any other business function.

Despite the prioritization of functions that drive customer success, it is in business projections, business decisions, and aligning service data with financials that companies take an increasing interest in incorporating IoT.

At least one-quarter of companies have already incorporated IoT for each of these purposes. Have you?

 

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We have seen a seismic shift within the field service sector towards adopting a more proactive approach to service - but is this a mega trend in itself or is it indicative of an even bigger shift in the way we view service delivery?

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Within our industry we are currently seeing a seismic shift - that is the move towards predictive maintenance and whilst the traditional modus operandi of field service operations of a break-fix approach will likely still have a place within most service organisations processes for the foreseeable future, predictive maintenance, empowered by the Internet of Things, is becoming a massively prevalent discussion amongst companies in all sectors who are looking to seek enhanced competitive advantages over their peers whilst simultaneously improving their own performance efficiencies.

One company who have such developments on their roadmap is Daikin Applied UK who recently joined Field Service News and Salesforce for an exclusive webcast discussion on how service organisations are harnessing technology to bridge the gap between the mobile workforce and their customer bases.

Indeed, it is a topic that we have covered extensively here at Field Service News, but is this shift to preventative maintenance set to be a megatrend within our industry, as many are predicting, or is it suited to specific industries and certain organisations within those industries?

 

"Even within sub-sectors within manufacturing, we are seeing companies have different results and taking different approaches..."

 

“I think it is absolutely going to be a mega-trend,” commented Scott Flatman, Regional Sales Director, Salesforce during the session.

“It is going to be a real competitive differentiator for companies that want to go the extra mile and stay ahead of the competition,” he adds.

“I do think that we may see this in different guises depending on the industry, however. For example, manufacturers at the moment seem to be at the forefront of this shift, but then even within the wider manufacturing industry it would be wrong of us to broad-brush it as a complete mega-trend.”

“Yet even within sub-sectors within manufacturing, we are seeing companies have different results and taking different approaches.”

“For us, this capability of connecting our products to our customers and to our business is really important, but it is not a one size fits all solution,” adds John McCarthy, CRM manager, Daikin Applied UK.

“It is certainly a trend across a lot of the sub-sections of our industry but it won’t suit all of our customers. However, we do need to be offering these types of solutions, for us to continue to be a leader within our sector.”

Of course, it is this ability to tailor a service solution to customer requirements that is a critical part of the discussion not only around predictive maintenance but also service delivery in general in today’s markets, which are becoming increasingly customer-centric. But is there a direct correlation between asset connectivity and increased customer engagements and satisfaction?

 

"We understand that our technicians and engineers are the front line and the face of our business. So we put a lot of time and effort into ensuring they have the tools and resources that they need..."

 

“There certainly is,” McCarthy responds when this question is put to him.

“For us, we understand that our technicians and engineers are the front line and the face of our business. So we put a lot of time and effort into ensuring they have the tools and resources that they need as well as also giving our customers the tools and resources they need to get the most out of the services they get from us.”

“Ultimately this technology doesn’t take away from the fact that we have highly skilled factory trained engineers, but it certainly enhances it,” he adds.

“I think it is also changing the expectations of the customers,” comments Flatman.

“The very best service experience is to have no service experience at all. Let’s take the Daikin Applied UK use case as an example. If you have a chiller that is operating outside of its normal thresholds - wouldn’t be great if an engineer was passing on his or her way home wouldn’t it be great if they could drop in and give it a check, make some tweaks or perhaps perform a rest so they can resolve the issue before it arises - as opposed to a company having to wait for it to go down.”

“That can help avoid not just a negative service experience for the contact, but also avoid all of the compound issues that could arise from that one failure.”

“If we can help our customers avoid that happening, who can then help their customers and so on, for me that is going to be the real win for businesses.”

This is perhaps the true mega-trend that preventative maintenance is part of the shift away from a number of businesses operating only alongside each other in a transactional way, to organisations becoming much more integrated partners within a true business ecosystem.

Indeed, this concept is at the heart of what many in the sector are now calling advanced services, which can yield greater profit margins in a much more stable business environment and predictive maintenance is set to become a cornerstone of such approaches to service in the not so distant future.

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Field Service News Editor-in-Chief, Kris Oldland offers up some insight into how field service has become a core differentiator amongst competing organisations and how the trend towards advanced services is being driven by technology...

 

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This video was originally included in a video presentation run in partnership with Salesforce.

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Kris Oldland, Editor-in-Chief, Field Service News talks to Scott Berg, CEO at ServiceMax about why IoT has so far failed to hit the heights it really is capable of and what we more should be expecting from connected assets in the near future...

When I sit down with Berg, he has just given a highly well-received presentation at Field Service USA, perhaps the biggest event in the global field service calendar. He managed to hit the two big topics that dominated conversation over the four days of the conference, namely preventative maintenance and IoT.

However, whilst many of his peers have spent the time still talking about why these are essential topics for field service companies today, Berg is already looking towards tomorrow.

“There is a big move towards predictive service, which a lot of us have talked about wanting to do. I think IoT has arrived on the scene and that might be what finally enables it. One of the things I’ve seen as we’ve come deeper into GE and seen what some of the other assets are around us from a technology standpoint is that the asset performance management concept is really unique,” he opens.

“As a field service guy I didn’t even know that this stuff was out there- I didn’t know that it was possible. That, of course, makes sense as it was used in process manufacturing, chemicals, oil and gas so it just wouldn’t occur to bring that over to field service, but this linking of the predictive analytics fed by IoT allows us to create a closed-loop process.”

“Frankly, now that I know these APM guys better within the GE company, it was one of the first epiphanies we had last year where we said you send that work to me, I’ll send you this back, arm the technician with the predictives that say ‘here’s why your here today.’”

“Another theme is also that this whole IoT thing is making me scratch my head a little bit and I’ve been talking to more and more people lately about this.,” Berg admits.

For me as a technology salesperson by trade it really gets good when someone can see real obvious value articulated, experience it and it becomes a bit of a no-brainer, I don’t think IoT has reached tha“$2.9Trillion dollars is going to get spent on IoT by 2020. Now this is not to say that many companies including a number of our customers haven’t experienced value, but it it’s still not quite fulfilling the full potential that it had - so what is the problem? For me as a technology salesperson by trade it really gets good when someone can see real obvious value articulated, experience it and it becomes a bit of a no-brainer, I don’t think IoT has reached that.”

It is a question I have raised myself in these pages. So what does Berg think is holding everyone back from seeing the true potential of IoT?

“I think it’s a combination of things,” he replies, considering the question. “Firstly, people are still drowning in data - and I do think that is still a problem. We see it even in GE businesses, there is so much more data by our own creation that it just gets harder and harder, and so now you’ve got things like Edge computing as opposed to sensors feeding data to Clouds, which is way to slow and far away, so that’s one thing that is changing rapidly.”

“And yes, there are people who have got the benefit but so far I see it as just a one and done benefit. We’ve had good examples of our customers, where they’ve identified a failure pattern, in one case a company were able to identify that they were fixing something too early, they could’ve gotten two more weeks out of it, so that leads to a modification of a service protocol or procedure, but it is still a one-off benefit.”

“It’s big don’t get me wrong. But it doesn’t do anything for you next year and it didn’t uncover the next problem. In fact, it may be even pushing a problem further downstream and so then another one surfaces.”

“That’s what is so exciting about the whole conversation around AI and Machine Learning - in that it offers continuous learning. The ability to model risk and put that into a plan - maybe that is the final way to bring IoT to its full potential in terms of service management and to create a pretty cool closed-loop process really.”

“I don’t mean to push IoT to a back seat, don’t get me wrong, there are so many side benefits that are game changing but it is a bit like you’ve planted something and then your like when is it going to come out of the ground, when am I going to see a flower and then to continue that analogy when that fruit first comes out, you don’t want to pick it and then that’s if you want it to be a constant crop."

It is interesting to hear Berg’s view that there is so much more to come how we implement IoT in a field service context. Particularly given ServiceMax’s role as an earlier pioneer within the space. When he speaks on the topic he invokes a clear belief in the scientific method - i.e. that each hypothesis is subject to continuous testing and re-evaluation.

“We were early partners and integrators with things like PTC and the ThingWorx products, launched connected field service and we’ve had some customers who have seen some real benefit - but why didn’t it sustain, why didn’t it evolve, why didn’t it grow - why wasn’t it everywhere?” He asks.

“I think it is because people were just a bit stalled looking for that extra piece of the puzzle,’ he continues answering his own questions.

One of the reasons we didn’t call Connected Field Service our IoT API is because the notion of connecting field service was not only getting the device to give up its data but also in the mobile device then arming the technician with why are you here“In fact, one of the reasons we didn’t call Connected Field Service our IoT API is because the notion of connecting field service was not only getting the device to give up its data but also in the mobile device then arming the technician with why are you here.”

“What was the reading that led to this? But let’s take that further, let’s get an understanding of what the is device doing right now so they know what it was doing yesterday when they were summoned, but also me what it's doing now, how has that changed.”

“I think that’s that notion of equipment centricity. The cool thing about GE is that it is the world’s largest field service company and it is also at it’s core a completely asset-centric group of engineers, the machine is everything they worship the machines - there are pictures of machines all over our office.”

When I last spoke to Berg, ServiceMax had only recently become part of the GE family, but even then he spoke of an early affinity between the companies and of a kindred spirit at each companies core. Fast forward some 18 months and it is clear that the relationship is proving to be even more symbiotic with benefits flowing both ways.

“I was in a meeting recently where one of the innovations another team was pushing in APM was maximising the performance and predicting the health of a set of assets. By that I mean not just one isolated machine but for example think of a wind-farm, maybe there are a thousand of assets within that fleet. We were trying to establish how we can comprehend the collective health of those assets and how they work together.”

This is just another example of how Berg, ServiceMax and now the wider team within GE are not satisfied with pushing the envelope today but are dedicated to understanding how they can continue to stay at the vanguard of innovation for many, many years to come.

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Kris Oldland, Editor-in-Chief, Field Service News talks exclusively to Dan Sewell, COO of Espresso Service about how the implementation of dedicated FSM system has improved their service engineers workflows.

In this instalment of the interview, we look at the importance Espresso Service have placed on their engineers and the impact that implementing a dedicated Field Service Management solution, in this instance Tesseract Service Centre, an Asolvi product, has had on improving their workflows.

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Kris Oldland, Editor-in-Chief, Field Service News talks exclusively to Dan Sewell, COO of Espresso Service about preventative maintenance.

Dan and the team at Espresso Service have embraced the Internet of Things and preventative maintenance with open arms and have already seen some fantastic benefits from doing so.

We look at what those benefits and improvements were as well as getting Dan's advice for any organisation looking to follow in their footsteps exploring what the best initial steps are for adopting such an approach.

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Alastair Clifford-Jones, CEO of Leadent looks at how the focus of field service is shifting towards driving strategy rather than being a recipient of it...

The holy grail for field service managers has been to reduce costs whilst maintaining customer service levels; effectively meeting SLAs at the lowest possible cost. This is still important, but the focus is changing. Field service is moving into a space of key importance, driving strategy rather than being a recipient of it.

All markets are now impacted by this change. Looking at the consumer market there is so much information for consumers; independent websites that not only compare products but also services, and these naturally impact buying decisions.

Research has shown that many customers won’t switch until they have had a bad service experience.It’s now easy in the UK, with the deregulations of the Utilities market, for consumers to switch suppliers. Research has shown that many customers won’t switch until they have had a bad service experience. On the other hand, customers will switch if the price differential is greater than 20%.

The cost of bad service really impacts an organisation’s profits. In a recent Harvard Business Review report; a 5% increase in customer retention results in a 25%-95% increase in profits. This becomes more important to the service organisation as products become less differentiated on functionality.

In light of new technology, and the change in consumer behaviour we at Leadent have developed a maturity model which I introduced in an earlier article for Field Service News. This model (see diagram below) not only measures where organisations are positioned currently, but what they should aim for by demonstrating the key characteristics an organisation needs.

Whilst it’s an organisational model, technology and processes still need to be implemented, and cultural change cannot be underestimated. So let's explore each of the three stages...

Chaotic Survival

This is the embryonic phase, often referred to as JFDI.

Everything is reactionary, heroes in the business are the people that get things done. Someone that fixes a water leak at three in the morning gets the company award. All the processes are desperate, and much of the knowledge about how to do things are in people’s heads.

The level of ‘Chaotic Survival’ can often be measured by the noise in the dispatch office and the number of calls made to the field and customers.

Initially, the workforce is seen as a cost, and any case for change is usually based on a cost reduction program by streamlining processes and the introduction of scheduling, albeit a manual tool.

Whilst many companies have moved beyond this stage, it is surprising how many organisations have not. Moving out of this phase is probably the most challenging in terms of people. Field teams need to be managed and dispatchers need to allow technology to make decisions. The world is littered with organisations that have failed to develop, those who may have implemented a technology solution but not the new processes, organisation and skills required to make this step.

Supply Led

This phase starts building the groundwork for excellence.

The technology both in scheduling and mobility starts to connect the organisation together. Silos, which were in the previous phase are dismantled and the organisation becomes more collaborative. From a business perspective, this is when customer service and field operations often become part of the same entity.

Rather than responding to customer needs in a reactive fashion, the company can start to become more proactive. Planned maintenance, if applicable, gets built into the schedule. Customer service levels can be monitored and informed decisions made in terms of minimising costs but maximising the customer service levels.

The field force, hitherto considered as a cost now has more flexibility and starts to drive a competitive advantage. Whilst we see these organisations becoming more collaborative internally they are still not working with customers and suppliers in a truly collaborative manner, and this is a huge missed opportunity.

Demand Led

The holy grail. This is the phase where technology and the right organisation can really disrupt the industry and organisations can leapfrog their competitors. Field service starts to drive the agenda, drive the strategy. The organisation no longer is a recipient of customer demand and fulfils these in an optimum manner. Processes are no longer just contained within the confines of the enterprise but are built to include customers and suppliers.

This is the new ‘battleground’ for field service and technology has made it possible. By putting the customer first, they have control. They can book appointments through multiple channels and based on their preferred choice. They have full visibility of the processes, and in many cases, can actually solve the problem themselves.

The suppliers are able to understand how their products perform in the field and feed this back to the manufacturing processes.

This is the new ‘battleground’ for field service and technology has made it possible.

IoT is a reality and no longer a pipe dream of visionary consultants, and it enables organisations to truly predict failures, determine preventative maintenance schedules and offer a level of service which exceeds customer expectations at a substantially lower cost.

This does, however, require a very different way of thinking and a true cultural shift. To be in this phase you need to have an organisation which thinks differently, embraces technology and one that really understands the customer.

Summary

In summary, the new world is exciting.

It’s even making field service seem ‘sexy’, but most of all digital service (an often misused term) is truly disrupting the industry. It is technology driven, but the companies that will be able to exploit this will think differently. They will think about the end to end processes from manufacturing and the whole customer journey; from making the purchase decision to disposal.

This needs an organisation to not only break down internal barriers but also external ones.

Given that each phase of maturity requires changes in culture, it would be very hard from an organisation to move from being ‘adhoc’ to ‘predict and engage’ in an instant as each phase is a building block for the next. However new entrants to the market can start on the right-hand side, and this is where organisations which don’t develop will lose out.

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Resource Type: White Paper
Published by:  ClickSoftware
Title: How the Internet of Things is Transforming Field Service

 

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Synopsis:

Gartner, Inc. forecasts that 6.4 billion connected “things” will be in use worldwide in 2016, up 30 percent from 2015, and will reach 20.8 billion by 20201. This interconnected world will provide a wealth of new opportunities for service organisations. It allows them to connect equipment with technicians’ mobile devices and the office in real time, enabling a rapid response to service requests and efficient remote diagnostics. Service is set to become increasingly proactive and cost-effective.

Field service lies at the heart of the Internet of Things (IoT) evolution. Advanced field service management (FSM) software can automatically receive messages from devices, and schedule and dispatch professionals, without any human interaction. But the opportunities for IoT go beyond inbound device signals over the internet.

The increase in intelligent service resources, such as drones and autonomous vehicles, offers benefits of machine-to-machine (M2M) communication that promise to transform the service industry.

Overview:

The Internet of Things

As the internet turns 25 years old, its impact continues to transform communications, industries, and lives. The original framework of point-to-point communication via a network of distributed hubs has evolved from email and dovetailed with advances in electrical and industrial engineering in a transformative way. The era of personal computers has evolved, through mobility and the smart phone revolution, to a point where connected devices take all manner of forms from biological implants to wearable fitness trackers.

Signals sent to and from connected devices are spiralling in volume. Big data management techniques, machine learning, artificial intelligence (AI), and cloud storage have come together to deliver insight from this abundance of data. This increases the opportunities for automating decisions and initiating actions without the need for human intervention. The benefits to organisations are numerous.

Remote monitoring applications already save billions in transport and human capital management costs. Add the potential positive impact on customer engagement and its associated business value, and the call to action becomes clear. A complete IoT strategy leads to better and faster decisions throughout the service delivery lifecycle.

Market Definitions

The Internet of Things is having major impact across both industrial and consumer sectors, and many bodies of research focus on these separately. We look at the two areas in this way:

• Industrial IoT (IIoT): IIoT refers to the application of the Internet of Things to the broad manufacturing industry. It’s often used interchangeably with the term “Industry 4.0,” which refers to the major transformational stages of the industrial economy. Examples of IIoT range from monitoring building management systems and power grids, to tracking manufactured goods as they are shipped
• Consumer IoT (CIoT): The Consumer Internet of Things (CIoT) consists of technologies that target the home market and consumer electronics. IDC reports3 that over 8 million US households already use some kind of home automation and control. Typified by remote monitoring capabilities for security, climate control, and remote control of household functions, CIoT also offers promise in areas such as networked home appliances with use cases such as refrigerators that automatically order more milk as needed.

IoT and Field Service

As the definitions around IIoT and CIoT show, there are ramifications for field service in both areas. Products that are being serviced are equally likely to be consumer goods or elements of a manufacturing eco-system in the context of business-to-business field service. The consumer and business areas are also intertwined as IoT adds a strong feedback loop that connects product usage and the associated service requirements to the manufacturing process itself. For example, wear and tear levels in real-world conditions can feed into product development through a network of sensors and influence the manufacturing process accordingly.

CIoT and IIoT are worthwhile segmentations to assess the market at a more granular level. But there are opportunities for innovation in IoT across the field service landscape. Furthermore, areas such as Bring Your Own Device (BYOD) and ghost IT also create fuzzy lines between consumers individually and as part of an enterprise. The opportunity for field service is broad and not constrained to any sub-segment of the market.

Reactive vs Predictive

The increasing intelligence of devices and the hardware layer also impact the approach to service associated with the device. While unsophisticated devices can signal a need for service in the event of a system failure, the richer data from intelligent sensors enable a shift from reactive to proactive service. For example, indicators of failure enable long range service maintenance planning so devices can be kept running continuously and efficiently with an optimised cost profile.

From a resource optimisation perspective, this is of course preferable to responding, at high cost, to a sudden failure.

This point brings up a significant differentiator in IoT-based field service. In addition to developing machine learning models to learn more about the service chain, leading field service organisations excel at optimisation in the context of organisational business goals. This optimisation is important regardless of the sophistication of the information the sensors generate in the network. Even in a simple example, with a service requirement to address a non-functioning device, organisations with optimisation solutions can automatically schedule that service to ensure the appropriate balance of metrics, such as SLA compliance and field service professional overtime. And, with additional sophistication in the IoT sensor data to support more proactive use cases, this schedule optimisation is just as important to business success.

 

To unlock the potential of speed and automation, decision criteria must be determined and incorporated into a system flexible enough to handle the variety of data inputs and scenarios. Top field service software providers can offer a scheduling solution that incorporates countless data elements into the scheduling algorithm.

The full intelligence provided by the IoT network determines the appropriate service schedule for a device, including inspection, preventive maintenance, and repair. If required, it’s possible to incorporate a review of these IoT-generated telematics by a field service professional for additional human oversight.

 

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Want to know more? Access to this resource is available to Field Service News subscribers only - but if you are a Field Service Professional you may qualify for a complimentary industry practitioner subscription!

Field Service Professional? Click here to apply for a complimentary industry subscription to Field Service News and get the white paper "Preparing for the Connected Customer" sent directly to your inbox now

 

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