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A recent survey has revealed that 88% of field engineers see no opportunity to progress in their careers.

This less than favourable statistic comes from specialist field engineering recruitment consultancy, Concept Resourcing’s latest Field Engineering Salary and Engagement Survey where they delved into average salaries across the industry as well as fluctuations and expectations in pay, employee happiness and ranked the most desirable perks and benefits.

Engineer’s reports of a lack of career progression were backed up by the fact that 81% of Concept’s respondents reported having more than 10 years’ experience in the industry, and yet 75% of them were still in the same role. Not only does this pose a problem for those who are feeling stagnant in their career, but it does very little to help draw the next generation of engineers into the sector, with progression seemingly curbed.

Between an ongoing battle with the STEM skills shortage and burgeoning concerns over an ageing workforce, some would say the field engineering industry has its work cut out when it comes to attracting new talent. When we look at how the sector has changed in recent years, from advancements in innovation - such as automation and augmented reality, to a natural increase in customer demand for instant resource in the digital age - it comes as no surprise that the sector is crying out for new talent.

Aside from attracting individuals into the industry, retention of existing skilled employees is equally as crucial. Particularly to facilitate knowledge transfer to new starters to ease the pressure on the ageing workforce. With that in mind, it comes as something of a surprise that the survey revealed that 44% of field engineering professionals are feeling undervalued at work.

 

Retaining your field service engineers

It’s easy to assume that field service organisations would be desperate to retain their existing workforce and would be bending over backwards for them as a result. This may well be the case, but if employers are concentrating their efforts in the wrong places – their engineers simply won’t reap the benefits.

Of course, salary is always going to be a big factor to employee happiness, but with a whopping 79% of field engineers stating that they were dissatisfied with their salaries, the industry may well have a problem on its hands.

 

"Just 9% of those who requested a pay rise were successful, and of those, 62% were still dissatisfied with their salaries, an indication that perhaps the salary increases weren’t significant enough..."

 

Just 9% of those who requested a pay rise were successful, and of those, 62% were still dissatisfied with their salaries, an indication that perhaps the salary increases weren’t significant enough.

A potential reason for this could be the commoditisation of traditional field engineering sectors and the skillsets of engineers becoming increasingly focused on replacement over repair, meaning salaries have been driven down.

It seems as though the sector as a whole is missing the mark when it comes to giving their workforce what it wants, not through lack of trying – but simply through not knowing what they truly value where non-financial benefits and rewards are concerned.

Thankfully for employers, it’s not all about money. Feeling valued at work can overshadow a less than desirable salary. However, it’s worth noting that it works both ways, 80% of those who said they didn’t feel valued at work were actively looking to leave the company within the next 2 years.

 

Making your workforce feel more valued

Whilst salary naturally came out as the most important factor when choosing a job, company culture-related factors such as job security, work-life balance and a good work environment all followed.

When asked which benefits made the most difference to their happiness at work, field engineers ranked having a generous annual leave package, access to a good pension plan, a company vehicle and fuel card as their top priorities.

We saw a direct link between employee happiness and training. While only 6% of respondents felt that they didn’t have the necessary skills for their role, the gesture of being supported with personal or professional development clearly had a positive impact. Of those who said they were ‘happy’ and ‘very happy’ at work, 94% had been on a training course in the last 12 months.

Dan Sholl, Concept Resourcing’s Business Development Director for the field engineering division had this to say, “The results of the salary survey have been really eye-opening, to say the least. It’s clear that the sector has some work to do when it comes to both employee retention and attracting new talent.”

“Not every organisation has the budget to be able to provide regular substantial pay increases, but there’s a lot that can be done to make field engineering employees feel valued and happy at work. In our experience as a field engineering specialist recruiter, we often advise our clients on the significant impact that things like regular training can have on engineers and their happiness. Evidently, it’s these additional benefits and perks that can make all the difference when it comes to bringing the next generation of field engineers into the sector.”

If you’re interested in learning about average salaries in field engineering, or if you’re working on your hiring strategy for the year and would like some extra insight, read the rest of Concept’s Field Engineering Salary and Engagement Survey here.

 

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Oftentimes field service directors and managers can see the importance of investment within a dedicated Field Service Management (FSM) ahead of their colleagues in the boardroom. In this series of articles Kevin McNally, Sales Director, Asolvi outlines how to build a case for investment to drive your field service operations forwards.

In the first instalment in this series, we looked at how FSM systems can deliver easy Return on Investment, in part two we explored how investment in FSM solutions can help you achieve better staff retention and now in part three we turn our attention to how the implementation of an FSM solution can improve worker health and safety.

 

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Perhaps the easiest argument to put forward to an executive board when seeking approval for investment, aside from outlining a clear ROI, is when that investment will mean ensuring the working environments you place your employees in meets any necessary health and safety requirements.

Of course, in a field service scenario, it is not necessarily possible to control the environment in which your field workers will be undertaking their role.

Therefore, monitoring their safety and ensuring they follow all due protocols and procedures is of huge importance.

So let’s take a quick look at some ways in which FSM systems can help you keep your field service engineers and technicians safe.

 

Geo-Fencing And Lone Worker Support

One reason field service technicians and engineers are particularly vulnerable is simply the fact that they are often working alone - so should an accident happen it could go unnoticed for some time, delaying any necessary medical attention.

There are many lone worker solutions out there, but it is optimum if you can identify a solution that can integrate into your wider FSM system so it can take a data feed of where the engineer is scheduled to be at any given time.

In fact, once that data feed from your scheduling solution is in place, it is possible to establish geo-fencing to make sure that should your engineer either stray outside of where they are supposed to be, or should they fail to arrive where they are supposed to be within a parameter of acceptable margin, alerts can be triggered helping to avoid potential tragedies that can arise from lone worker scenarios.

Indeed, this is one of the key areas in which the importance of the easy flow of data across your field service eco-system can be most easily highlighted – as the benefits literally could mean the difference between life and death.

 

Smart Scheduling To Ensure Your Engineers Are Safe

The next item on the list is an obvious one, and one that any good dispatcher even working without an FSM solution will pride themselves on doing – however, by automating it we can remove the potential for human oversight and error.

Many FSM systems will allow you to set clear parameters against a job during set up so that should maintenance or repair need to be scheduled then unless those parameters (such as the job requiring specific qualifications or more than one technician being required) are met the job cannot be scheduled.

This relatively simple, yet highly effective inclusion within an FSM system can ensure that the right engineer(s), with the right qualifications, are sent to the job, helping to avoid any potential health and safety issues that could result from under qualified or undermanned service teams being sent out.

 

Guide Your Engineers When Onsite To Safe Processes Every Time

Even the most experienced engineers can make mistakes – and these are oftentimes the result of simple complacency – again something that can be overcome through the use of mobile tools often found within an FSM solution.

For example, by building a checklist on the engineer’s mobile device that is built into their workflow you can ensure essential steps aren’t overlooked.

It may seem like an obvious thing for the experienced engineer to be told to switch off a core valve or even mains power to an asset before undertaking maintenance, but it only takes one rushed moment of forgetfulness on a bad day to cause an accident that could potentially be fatal.

But your FSM solution could help avoid that entirely by only allowing the engineer to begin work on the asset once they have completed the H&S checks on their mobile device.

 

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Artificial Intelligence has increasingly become a key discussion in all industries and its impact in field service management is predicted to be hugely significant, but how should field service organisations leverage this powerful twenty-first-century technology? In the part one of this two-part feature Marne Martin, President of Service Management, IFS outlined why AI in field service is about far more than chatbots, now in the concluding part, she outlines how AI can bring a touch of genius to your field service operations...

 

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Solving Problems When One Isn't Albert Einstein

Human agents are capable of optimally dealing with a customer, and AI can free them up for the most interesting and demanding tasks. In the case of scheduling technicians in the field, humans are just not up to the numerical challenge of adjusting a schedule in an optimal fashion as humans typically focus in on an aspect of a problem to solve rather than finding the best solution overall.

A dynamic scheduling engine (DSE) driven by AI algorithms is designed to solve complex scheduling problems in real time—problems much too complex for any human dispatcher or customer service agent to handle, especially when at times individuals will act myopically based on their area rather than for the greater good of the company and its customers.

 

"Even a static service schedule can be handled in myriad different ways and decisions regarding which technician to send to which of several jobs in what order are often made based on suboptimal heuristics..."

 

Even a static service schedule can be handled in myriad different ways and decisions regarding which technician to send to which of several jobs in what order are often made based on suboptimal heuristics.

“Steve’s son is in daycare in this part of town, so I will schedule this appointment last, so he will be close by.” Sometimes jobs are scheduled based on first-in, first scheduled, regardless of the actual urgency of requests that come later.

Manual or traditional software-based scheduling may be a workable solution for service organizations with a very small number of technicians each engaged in a small number of jobs during a day. But it does not take many technicians or jobs for the number of possible solutions to outstrip human computation capabilities either individually or as a group.

Even at the low end of the spectrum, a human dispatcher cannot quickly identify all the possible solutions and pick the best one. With two technicians and four service calls there are already 120 possible solutions— different combinations of technician, job and order. Two technicians, and five service calls yields 720 possible solutions. Four technicians and 10 service calls present a dispatcher with 1,037,836,800 possible solutions.

But the time you get to five technicians that must complete six calls each—a total of 30 calls, you have 12,301,367,000,000,000,000,000, 000,000,000,000,000 possible solutions.

Finding the optimal solution becomes even more complex as additional and rapidly-changing factors are added into the mix:

• Emergent jobs come in that must take precedence over those already scheduled
• SLAs and other contractual requirements demand that some jobs be completed within a given timeframe
• Technician skill sets that influence which tech is sent to which job
• Tools and materials currently in stock on each service vehicle
• The current location of a technician in proximity to each job and to drop locations for inventory that may be required for a job
• The duration of each service call, both in terms of estimated time required to complete the call and whether a current job is running over the estimated time, resulting in knock-on effect on subsequent jobs

Former world chess champion Garry Kasparov, in his book Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins, makes clear that even his mind is not capable of computing possible solutions and outcomes as rapidly or effectively as an AI algorithm.

 

"Automating the schedule through AI not only enables a much higher level of service but frees up dispatchers to handle those “beautiful or paradoxical moves” that may delight a customer or solve a tough problem...“

 

The human mind isn’t a computer; it cannot progress in an orderly fashion down a list of candidate moves and rank them by a score down to the hundredth of a pawn the way a chess machine does,” Kasparov writes. “Even the most disciplined human mind wanders in the heat of competition. This is both a weakness and a strength of human cognition. Sometimes these undisciplined wanderings only weaken your analysis. Other times they lead to inspiration, to beautiful or paradoxical moves that were not on your initial list of candidates.”

Automating the schedule through AI not only enables a much higher level of service but frees up dispatchers to handle those “beautiful or paradoxical moves” that may delight a customer or solve a tough problem.

In the end, collaborating with intelligent machines will get us further faster than going it alone. According to Kasparov, the best chess is now played as grandmasters use computers to analyze positions, opponents’ games and their own games—elevating the level of play. In an interview with the Financial Times, Kasparov, who famously had matches against an early chess supercomputer, described how the best chess is now played by combining “human intuition and understanding of the game of chess with a computer’s brute force of calculation and memory.”

“I introduced what is called advanced chess; human plus machine against another human plus machine,” Kasparov said. “A human plus machine will always beat a super machine. The computer will compensate for our human weaknesses and guarantee we are not making mistakes under pressure … the most important thing is not the strengths of the human player. It is not the power of the computer. But it is the interface. It is the corporation.”

 

Legacy Approach to Inventory Logistics

Service management for many businesses relies on inventory … if completion of a service call requires inventory and you are out of stock, you cannot meet your commitment to the customer. When a service request cannot be closed on the first visit, it is often because the right part is not on the truck or immediately available.

So, service management software should encompass inventory management functionality, and that functionality should include automated reorder points for each part. The ability to take parts availability into consideration is a critical data set for AI to work on as parts are a critical determinant in first-time fix and job completion where parts are a factor. It also is a key aspect to successful SLA and outcomes-based commercial relationships.

Once inventory data is available and integrated, a powerful DSE may also be configured to influence inventory logistics so parts and materials are housed in warehouses, satellite offices or inventory drop locations closer to anticipated demand, with inventory matched to jobs in a forward or current day schedule. In one very large implementation of IFS Planning and Scheduling™ Optimization—in the London underground transit system—inventory and tools are dropped ahead of each service visit so technicians who ride the subway to the service site can pick them up.

This is only possible with a high degree of coordination between the service schedule, inventory logistics and an AI-driven scheduling tool.

 

Conclusion

Service organisations should recognise the tremendous potential AI holds—they can harness it to transform their operations, outflank their competitors and disrupt their markets. We are only starting to tap into the different ways AI can be used to better solve the problem of delivering optimal service in a rapidly changing environment as adoption is still lagging despite the real benefits AI brings. The good news is there are several straightforward and easily accessible ways service executives can harness AI technology right now, today.

 

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Users now can engage their end customers with step-by-step visibility for the field service last mile with a live map view, job details and ETA countdown via a Glympse-powered journey...

MSI, a leading developer of cloud-based field service management software, has partnered with Glympse, the pioneer of real-time location technology, to bring rich technician tracking capabilities to customers of its Service Pro field service management solution. The addition of Glympse will enable MSI to strengthen the powerful value Service Pro delivers to its customers.

The partnership creates new capabilities for MSI to offer to field service teams using its leading cloud and mobile applications. In particular, Glympse will further help those companies meet and exceed customer expectations on the first visit, empower technicians to provide more responsive, proactive service, eliminate costly manual processes, and track technician location and status in real-time.

“Glympse is a clear leader in harnessing location and mobility to positively impact the customer service experience,” said Harvey Shovers, MSI President. “MSI is excited to add Glympse to the Scheduling, Mobility and Customer Experience suite of capabilities of our Service Pro platform, enabling thousands of field service appointments to exceed expectations with a real-time experience for the service customer.”

Through the partnership with Glympse, Service Pro users will now be able to:

• Initiate the customer-facing Glympse experience as soon as an appointment is booked – via SMS, email or push notifications – so end-customers can review appointment details, add to their calendar or connect with their provider right from the interactive web viewer
• Provide end customers with progressive updates and ETA countdown as the appointment draws closer so customers can more effectively manage their day
• Offer a real-time, live map view of the technician on the way to the appointment, including an ETA countdown, and culminating in an arrival confirmation
• Collect feedback via the Glympse Journey to view as soon as the technician completes the field service appointment, adding the ability to follow up with the customer quickly if necessary

“Glympse has a strong history helping field service teams communicate with their customers during the most critical step of a service appointment - when the end customer is waiting for their representative to arrive to their home, their office or even a construction site,” said Chris Ruff, CEO & President of Glympse.

“MSI has demonstrated a precise expertise in building modern field service solutions for diverse industries ranging from cable, HVAC and construction to medical equipment and manufacturing. We’re pleased to add a new layer of engagement to the solutions they’re delivering for these industries and most importantly, to help them give back time and control to the customers ultimately waiting for these critical services.”

For more information about Glympse, visit http://www.glympse.com, or follow the company on Twitter @Glympse, or on Facebook, Instagram or on LinkedIn.

For more information about MSI and Service Pro, visit http://www.msidata.com, or follow the company on Twitter @msidata, or on Facebook, Instagram or LinkedIn.

 

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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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In a landmark agreement between Volvo Trucks and Norwegian mining company Brønnøy Kalk AS, six autonomous Volvo FH trucks will transport limestone over a five-kilometre stretch in a mine. Tests of this solution have been carried out successfully and will continue throughout 2018 to become fully operational by the end of 2019.

The deal represents Volvo Trucks’ first commercial autonomous transport solution that will run in a real operation. It is a new solution whereby the customer buys a transport service where Volvo Trucks takes full responsibility for the delivery of the limestone to the crusher.

Whilst we may be still some way from seeing autonomous vehicles being used in service logistics, this is an interesting and possibly pivotal new development.

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The number of active fleet management systems deployed in commercial vehicle fleets in Europe was 7.7 million in Q4-2017, according to a new research report from the IoT analyst firm Berg Insight.

Growing at a compound annual growth rate (CAGR) of 15.2 percent, this number is expected to reach 15.6 million by 2022. The top-15 vendors have today more than 100,000 active units in Europe. TomTom’s subscriber base has grown both organically and by acquisitions during the past years and the company is the clear market leader on the European market and reached an installed base of about 708,000 units at year-end 2017. Masternaut is still in second place and had achieved an installed base of an estimated 250,000 units.

Berg Insight ranks Verizon Connect as the third largest player in terms of active installed base with around 235,000 units. ABAX, Microlise, Gurtam, Viasat, Bornemann, Teletrac Navman, Trimble, Transics and OCEAN (Orange) also have more than 100,000 active devices in the field. The HCV manufacturers are now growing their subscriber bases considerably in Europe thanks to standard line fitment of fleet management solutions. Dynafleet by Volvo, FleetBoard by Daimler and Scania Fleet Management are the most successful with active subscriber bases of 117,000 units, 108,000 units and 219,000 units respectively as of Q4-2017.

The consolidation trend on this market continued in 2018. “Thirteen major mergers and acquisitions have taken place in the past twelve months among the vendors of fleet management systems in Europe”, said Johan Fagerberg, Principal Analyst, Berg Insight. ORBCOMM acquired Blue Tree Systems in October 2017. The acquisition of Blue Tree solidifies ORBCOMM’s transportation portfolio by adding truck in-cab and refrigerated fleet vehicle solutions to ORBCOMM’s cargo solutions. In December, ABAX acquired Danish Fleetfinder. The acquisition added approximately 7,000 vehicle subscriptions to ABAX Group’s existing subscription base.

Later in December, Viasat Group acquired a majority stake (51 percent) in Locster based in France. January of 2018 started with two acquisitions. EcoFleet was acquired by Fleet Complete and Verizon Connect moreover continued its European expansion with the acquisition of Movildata in Spain. Coyote acquired a 70 percent stake in Traqueur in February 2018. Later in April, Trackunit acquired UK-based telematics provider Satrak. GSGroup purchased Care4all based in Denmark in July 2018. Vehco was acquired by AddSecure in May 2018, which gave Vehco the structure and financial strength to further expand within fleet management. Vehco’s third acquisition followed in August 2018 when the company took over the ownership of Groeneveld ICT Solutions. AROBS Transilvania Software acquired SAS Grup in September.

The latest two transactions were done in September and October when Viasat Group acquired Detector in Spain as well as 60 percent of the shares in TrackIT Consulting in Portugal. Mr. Fagerberg anticipates that the market consolidation of the still overcrowded industry will continue in 2018–2019.

Download report brochure: Fleet Management in Europe

 

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In this, the latest edition of the Field Service Podcast, Kris Oldland, Field Service News, Editor-in-Chief, is joined by Marne Martin, CEO of WorkWave and president of Service Management for IFS about her new role with IFS as well as discussing whether the time has come to finally recognised Field Service Management systems as a standalone category such as CRM or ERP [hr]

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