ServiceMax, a GE Digital company, has recently commissioned independent market research specialist Vanson Bourne to explore the trends in asset connectivity. Here we look at some of their findings...
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Dec 06, 2018 • Features • Future of FIeld Service • field service • field service management • field service technology • GE Digital • Service Management • servicemax • Service Automation • Managing the Mobile Workforce
ServiceMax, a GE Digital company, has recently commissioned independent market research specialist Vanson Bourne to explore the trends in asset connectivity. Here we look at some of their findings...
Asset and service data will be a crucial element of making the transition to a more outcome-based business model - something that is high on the agenda for many companies currently.
However, at present, surveyed organisations are not accessing the full potential of this data due to their inconsistent use of digital tools and technology. While 98% of respondents report that their organisation uses automated digital tools and technology to aid the collection and utilisation of asset service data, only around half or fewer state that these tools are used in the collection (51%), aggregation (43%) or analysis (52%) stages of the process.
"This intermittent use of automated technologies is not only opening the door for inefficiencies but is also directly leading to difficulties with data collection and utilisation..."
This intermittent use of automated technologies is not only opening the door for inefficiencies but is also directly leading to difficulties with data collection and utilisation.
Around four in ten respondents report that when it comes to the management of access to asset service data in real time (40%), aggregating asset service data in a structured way (39%), analysing asset service data (41%), and sharing asset service data analysis with the rest of the business (42%), their organisation either needs huge improvements in these areas, a complete overhaul or that they simply do not do this at all yet.
The difficulties regarding asset and service data are exasperated further by the 59% of respondents who agree that their organisation is held back from the successful analysis of data because the quality of it is usually poor.
Struggles are rife throughout the entire process, right from who is collecting it and how they do this, down to how it is being analysed and shared across the business.
How can these organisations possibly expect to make any informed, strategic decisions using the data that is readily available to them if the process is so disjointed, outdated and underdeveloped digitally?
Lack of Data Confidence
And these struggles have led to a distinct lack of confidence among surveyed decision makers and their colleagues, with only 50% of respondents reporting that they or other service leaders in their organisation completely trust the asset service data that they have access to.
But this will need to change because asset and service data is becoming an ever more integral part of organisations, and this is summed up by the 85% of respondents who agree that service asset data should be central to strategic decision making.
The requirement to boost trust levels is especially pertinent in those organisations where the C-suite is already using asset service data today (39%) or have plans to in the future (34%) because they will need to be able to trust in the data in order to make well-informed decisions for the business.
The use of asset and service data by the C-suite will also serve to set an example for leaders across other departments that this is the best way forward for the organisation.
Glaring Skills Gap
However, it is not just these deep-lying trust issues that are a concern for organisations, which is clear from the fact that only 22% of respondents are willing to admit that the IT and field service functions in their organisation work together completely effectively to achieve the goal of better data utilisation.
This lack of collaboration is compounded by a glaring skills gap whereby over three quarters (77%) of surveyed decision makers concede that the pace of data intelligence digitally collected by their organisation’s assets is outpacing the skills of those responsible for actually utilising the data.
Further to this, more than four in ten respondents report that the skills of engineers (45%) and the skills of management (44%) are a cause for concern when it comes to using data produced by advanced technologies (such as a digital twin) meaningfully. This should set alarm bells ringing for organisations because they are struggling with skills among both their employees on the ground and those higher up the organisation as well. It seems that even with the implementation of the appropriate technology for the collection and utilisation of asset and service data, there will still be work to be done in order to extract as much value as possible – this will likely need to be in the form of a rigorous training program.
An Appetite for Automation
A lack of collaboration between teams, an ever-increasing skills gap and an inconsistent use of the appropriate technology, leading to trust issues could become a recipe for disaster in these organisations if not addressed quickly.
"Over four in ten (43%) report that the automation of this process in their organisation is required to a huge extent, or that it is completely required because manually entered data never/rarely provides value..."
The need for automated digital tools has rarely been clearer, and respondents recognise this. Only 7% believe that automating the process of collecting and utilising asset service data is not at all required because all data manually entered by service engineers is structured and entirely usable.
Whereas over four in ten (43%) report that the automation of this process in their organisation is required to a huge extent, or that it is completely required because manually entered data never/rarely provides value.
Organisations will need to utilise automated digital tools more consistently if they are to progress, but they will also need to upskill their workforce and address any collaboration issues internally.
These three areas are crucial if asset and service data is to be utilised to its full potential and this will ultimately underpin the successful transition to an outcome-based business model.
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Dec 04, 2018 • video • Features • Management • Astea • Enterprise Mobility • field service • Field Service News • Service Management • business software • Enterprise Software • Field Technologies • Managing the Mobile Workforce
In this second excerpt from an exclusive fieldservicenews.com presentation Kris Oldland, Editor-in-Chief, Field Service News is joined by John Hunt, Managing Director, EMEA, Astea to discuss the key findings of a research project Astea undertook...
In this second excerpt from an exclusive fieldservicenews.com presentation Kris Oldland, Editor-in-Chief, Field Service News is joined by John Hunt, Managing Director, EMEA, Astea to discuss the key findings of a research project Astea undertook with WBR.
Here, they talk about how the most cited goal for service-centric manufacturers in 2018/2019 is to increase innovation, agility and internal resource to support further development of new service initiatives...
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Dec 03, 2018 • Features • Management • Kevin McNally • field service management • field service technology • Service Management • Customer Satisfaction and Expectations • Managing the Mobile Workforce
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...
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 in part three we explored how the implementation of an FSM solution can improve worker health and safety.
Now in the final part of this series, we look at the benefits an FSM system can bring to Customer Engagement as well as offer some concluding thoughts on the series...
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Customer experience and customer engagement have become buzz phrases of recent times amongst senior executives within almost all organisations and the good news for field service professionals is that this shift of focus on service has meant an increased importance on ensuring field service management teams are able to deliver their service programs as efficiently, and effectively as possible.
Service indeed has now become the core differentiator within industry and field service is an excellent opportunity to make your service standards shine.
By investing in an FSM solution you're enabling your field service engineers to be true brand ambassadors of your organisation. By investing in an FSM solution you are giving them the tools they need to understand the specific needs of the customer they are visiting/history/asset history etc.
By investing in an FSM solution you are giving your field service engineers the tools to deliver the service excellence that will keep your customers loyal.
However, customer experience can also be enhanced through the implementation of FSM solutions in other ways than by empowering the field service engineer...
For example, many modern FSM systems also allow you to provide dashboards to your customers to offer greater visibility into how their assets are performing and how your service organisation is performing against any set SLAs.
Such transparency is very much valued in today’s digital economy where such metrics are becoming increasingly less of a USP and more of an expectation.
Indeed, many of the aspects of automation that an FSM can bring to your service delivery such as automating creation and delivery of work reports, messaging updates on engineer arrival times or even invoicing will improve both the efficiency of your service delivery and the levels of customer satisfaction you are able to achieve.
Conclusions: Avoiding a Competitive Disadvantage
For a long time, the key sales point for investing in an FSM solution was to gain competitive advantage.
However, we must now acknowledge that this is a maturing market and that maturation has been increased by the development of the Cloud-based systems.
So the question now is how much of a competitive disadvantage will you be in if you don’t implement a modern FSM solution – whether that be moving away from manual processes for the first time or upgrading to a new solution from a legacy product.
Investing in an FSM solution can improve your ability to meet health and safety requirements and protect your staff, make your customer’s happier, reduce field service employee turn over all while paying for itself within a relatively short time frame.
The question is no longer if you should invest in an FSM solution, but how to identify the right solution provider for you.
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Nov 29, 2018 • video • News • field service • field service management • Service Management • Software and Apps • Big CHange • Field Service Technologies • Job Watch • Managing the Mobile Workforce
Nov 29, 2018 • Features • Management • Podcast • Enterprise Mobility • field service • field service management • field service technology • Service Management • SME • Business Management • Enterprise Software • Service Management Technology • Small to Medium • SMB
Kris Oldland, Editor-in-Chief welcomes back Kevin McNally, Sales Director of Asolvi as they look through five key considerations to factor in when trying to build a case for investment within a field service management solution including, definable...
Kris Oldland, Editor-in-Chief welcomes back Kevin McNally, Sales Director of Asolvi as they look through five key considerations to factor in when trying to build a case for investment within a field service management solution including, definable return on investment, health and safety compliance, increasing customer engagement, reducing staff turnover and avoiding a competitive disadvantage....
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Nov 28, 2018 • News • Podcast • bybox • field service • field service management • field service technology • Service Management • Agora • e-commerce • Simon Fahie • Parts Pricing and Logistics • Managing the Mobile Workforce
The Finnish Agora Networks is bringing city dwellers the Agora parcel kiosks with the goal of reducing e-commerce fees with the help of Clear Channel's outdoor advertising and by offering versatile 24/7 services. By the end of 2019 more than 200...
The Finnish Agora Networks is bringing city dwellers the Agora parcel kiosks with the goal of reducing e-commerce fees with the help of Clear Channel's outdoor advertising and by offering versatile 24/7 services. By the end of 2019 more than 200 kiosks will be set up around Finland and the concept will also be taken abroad.
An Agora kiosk is a multifunctional robotic machine for parcel deliveries, which is located out of doors, and which also helps create new kinds of Smart City services, such as 24/7 remote libraries and remote pharmacies. Agora kiosks also offer a platform for equipment that measures air quality and for WiFi/5G base stations.
Agora Networks has started building a network of Agora kiosks in the Helsinki area and Tampere. The first Agora kiosk was installed at the PostNord terminal in Vantaa in May and the actual construction of the network began in Helsinki with the installation of an Agora kiosk on Monday, 12 November. The goal is to install more than 200 Agora kiosks by the end of 2019. Agora kiosks are to be placed in several cities both in public areas and in retail locations of the K Group.
As we have already seen from ByBox such solutions can go a long way to overcoming the challenge of parts delivery to increasingly congested urban areas, so it will be interesting to see if Agora to turn their attention to the field service market, although they will also need to then consider how locker solutions can enhance the service supply chain as Kris Oldland, Editor-In-Chief, fieldservicenews.com, discussed with Simon Fahie, Managing Director, ByBox in a recent episode of the FIeld Service Podcast.
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Nov 27, 2018 • News • Connected Field Service • Future of FIeld Service • Berg Insight • field service • field service management • Internet of Things • IoT • Service Management • Field Service Technologies
Berg Insight presents a unique database covering the 350 largest cellular IoT deployments identified as part of the company’s world-class IoT market research activities since 2004.
Berg Insight presents a unique database covering the 350 largest cellular IoT deployments identified as part of the company’s world-class IoT market research activities since 2004.
The extensive list includes various types of projects and product categories deployed across all types of vertical markets including aftermarket automotive, fleet management & MRM, healthcare, OEM automotive, retail applications, smart homes and buildings, utilities, wearables & consumer electronics as well as industrial M2M and other. The database includes project size and geographical distribution by the end of 2017 as well as a 5-year forecast for each individual project.
“The projects included in the top-350 list together account for approximately 214 million active cellular IoT subscriptions”, said Rickard Andersson, Principal Analyst, Berg Insight. He adds that this corresponds to as much as 33.0 percent of the total number of cellular IoT connections worldwide at the end of 2017.
The 350 projects on the list are in the coming years forecasted to grow to 521 million units by 2022, corresponding to an overall compound annual growth rate (CAGR) of 19.5 percent. “More than 40 deployments on the list have surpassed 1 million subscriptions and the top-10 projects alone account for over 80 million units”, continued Mr. Andersson. Fleet management & MRM is the largest vertical in terms of the number of projects that made the top list, followed by retail applications, aftermarket automotive and OEM automotive as well as smart homes and buildings.
When comparing the number of active subscriptions represented by each vertical for the entries in the top-350 list, OEM automotive is instead the largest vertical, accounting for 46 million units, ahead of utilities at about 34 million units and fleet management & MRM representing 31 million units.
Download report brochure: The 350 Largest Cellular IoT Projects Worldwide
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Nov 26, 2018 • Features • Management • Kevin McNally • management • field service • field service management • Service Management • Building a case for investment • Business Investment • Field Service Technologies • Managing the Mobile Workforce
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...
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.
Is building a case for investment in FSM a key topic for you?! There is a full white paper on this topic available to fieldservicenews.com subscribers. Click the button below to get fully up to speed!
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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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Nov 25, 2018 • Features • AI • Artificial intelligence • Future of FIeld Service • MArne MArtin • field service • field service management • IFS • Service Management • Field Service Technologies • Parts Pricing and Logistics • Managing the Mobile Workforce
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...
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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