Bsquare Corporation
ANext Level Repair:
Adaptive Diagnostics
of annual vehicle costs1
1 American Transportation Research Institute, “An Analysis of the
Operational Costs of Trucking,” 2017, p. 25
When your vehicles are down, so too is your business. Whether your industry is
heavy-duty equipment manufacturing, fleet management, commercial trucking,
construction, or agriculture – vehicle performance is paramount.
Uptime is money. Precise troubleshooting and reduced mean time to repair
(MTTR) are critical. Improving turnaround and first-time repair rates creates
competitive advantage, especially for service centers and manufacturers.
Diagnostic accuracy and repair plan optimization have a direct correlation on
your bottom line. With so much at stake, why have vehicle diagnostics and
repair processes largely remained unchanged, even in the face of ever-advancing
technologies?
The True Cost of Repairs
Repair Costs Conventional Repair Next Level Repair Adaptive Diagnostics DataV Repair Case Study
Maintenance and repair
expenses represent
10%
Conventional repair and diagnostic methods rely on static manuals and processes
that don’t make allowances for many factors that often contribute to failures,
which severely limits their effectiveness.
For example, in general, when a diagnostic trouble code (DTC) sends a vehicle to
the service center – or when a technician arrives at the site of a breakdown – the
process follows a familiar script.
That’s a lot of effort spent simply trying to identify the exact nature of the
problem. Furthermore, because many error conditions trigger multiple DTCs,
there may be a long list of diagnostic procedures to follow. And, all too often, the
first repair attempt doesn’t fix the problem correctly – increasing downtime and
costs. What’s more, this approach lacks scalability across fleets that can number
in the hundreds of thousands.
Conventional Repair Methods
Repair Costs Conventional Repair Next Level Repair Adaptive Diagnostics DataV Repair Case Study
Connect code reader
to vehicle
Work through a
prescribed series of
diagnostic steps
Consult a repair
manual and cross-
reference DTCs
Download information
on active DTCs
Static Repair Script:
4
1
2
3
Internet of Things technologies have paved the way for a smarter approach
to vehicle maintenance and repair. Adaptive diagnostics combines static data
with a broader range of variables – like how the vehicle was used, how it failed,
maintenance history, or whether similar assets experienced similar problems – to
accelerate troubleshooting.
With adaptive diagnostics repair centers, fleets, and manufacturers can harness
a host of contextual information to better address vehicle faults. Deployments
can scale to support entire fleets and reference vehicle populations for similar
issues. This enhances troubleshooting and helps reduce false positives and false
negatives.
Integrations with parts inventory, warranty, dealer service systems, and workflows
also help expedite repairs and servicing, with additional benefits for inventory
management, warranty processing, and workforce management, among others.
Next Level Repair Process: Adaptive Diagnostics
Repair Costs Conventional Repair Next Level Repair Adaptive Diagnostics DataV Repair Case Study
What is
Adaptive Diagnostics?
Sensors and telematics systems
collect and transmit engine data
Vehicle fault triggers multiple
DTCs
Analytics evaluate real-time and
historical data to pinpoint cause
of failure
The system generates a
dynamic, detailed repair plan
Machine learning constantly
analyzes data to continually
improve the system
Using data to dynamically adapt the diagnostic process can reduce repair time
in excess of 30% and parts cost in excess of 20%. Manufacturers, owners, fleet
operators and service centers can all achieve positive business outcomes:
Gains from Adaptive Diagnostics
Repair Costs Conventional Repair Next Level Repair Adaptive Diagnostics DataV Repair Case Study
Optimized and efficient workflow:
Improve MTTR and uptime, reduce
operational expenses like warranty costs,
staff training and inventory maintenance
Extends mean time between repairs
(MTBR): Prompt, accurate repairs can
prolong useful vehicle life, improving
return on capital investment and uptime
between repairs
30%
20%
in time
in parts cost
Accelerate MTTR and warranty
processing: Increase operational
efficiencies and decrease warranty costs
with structured workflows, and accurate
parts identification
Improved repair quality and reduced
repair return rates: Use diagnostic data
to create a dynamic step-by-step repair
plan and fix problems right the first time
Faster, more accurate troubleshooting:
Quickly determine the probable root
cause and severity of a fault, accelerate
repair times and minimize human error
Continuous improvement: System
intelligence grows constantly, adapting
after faults, and bridges experience gaps
to increase new technician productivity
Bsquare’s DataV Repair app is an adaptive diagnostic solution designed to
accelerate repair processes for heavy-duty vehicles. It uses holistic data analytics
and machine learning to troubleshoot asset failures, dynamically prescribe
diagnostic steps, and guide technicians.
DataV Repair automatically processes real-time and historical data to accurately
determine failure root causes. It then evaluates fault codes, operating parameters,
and current conditions to create an optimized repair plan that can integrate
with other enterprise applications, such as service systems. Armed with this
information, technicians can rapidly resolve errors right, the first time. Ongoing
feedback loops of data-driven diagnostics and machine learning continually
refine and improve repair processes.
As a result, manufacturers can become more competitive, fleet operators can
keep vehicles running and generating revenue, and service centers can enhance
productivity and efficiency. Adaptive diagnostics is the logical choice for
modernizing repair processes and systems for significant business benefit.
Bsquare DataV Repair
Repair Costs Conventional Repair Next Level Repair Adaptive Diagnostics DataV Repair Case Study
In 2017, vehicle maintenance and
repair costs set a record for
largest
year-over-year
increase2
2 American Transportation Research Institute, “An Analysis of the
Operational Costs of Trucking,” 2017, p. 29
Repair Costs Conventional Repair Next Level Repair Adaptive Diagnostics DataV Repair Case Study
Optimized Repair with Bsquare
Leading semi-truck manufacturer Peterbilt needed to improve failure diagnoses
and repairs across their family of vehicles. By deploying adaptive diagnostics,
they were able to combine on-board diagnostic data from tens of thousands
of trucks, and an existing telematics system, with historical repair records and
workflow automation software. Then the system applied adaptive diagnostics to
analyze these disparate data sources, and generate enhanced repair plans. Now,
the system constantly mines service data to hone its ever-expanding digital body
of knowledge, and continually refine vehicle diagnostics and repair workflows.
As a result, the company has significantly reduced mean time to repair (MTTR)
and boosted first-time fix rates. Both Peterbilt and its service centers have
benefitted from more accurate, efficient error identification and repair processes.
Peterbilt: A Success Story
Maintenance and repair
costs represents
20-30%
of a vehicle’s lifetime cost
Repair Costs Conventional Repair Next Level Repair Adaptive Diagnostics DataV Repair Case Study
For more than two decades, Bsquare has helped its customers extract business value
from a broad array of physical assets by making them intelligent, connecting them, and
using the data they generate to optimize business processes. Bsquare DataV software
solutions can be deployed by a wide variety of enterprises to create business-focused
Internet of Things (IoT) systems that more effectively monitor device data, automate
processes, predict events, and produce better business outcomes. Bsquare goes a step
further by coupling its purpose-built DataV software with comprehensive analytic and
engineering services that help all types of organizations make IoT a business reality.
110 110th Avenue, N.E. Suite 300
Bellevue, WA 98004
[email protected]
© 2017 Bsquare Corporation. Bsquare and DataV are a registered trademarks of Bsquare Corporation in the U.S. and other countries. Other names and brands herein may be trademarks of others. Phone: 888.820.4500
