Next Level Repair: Adaptive Diagnostics

Transportation professionals are turning to Internet of Things (IoT) technologies for a smarter approach to vehicle maintenance and repair. In this ebook, learn how you can implement next level repair by leveraging adaptive diagnostics to reduce repair costs, improve turn-around and gain a competitive advantage.

Bsquare Corporation
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 sales@bsquare.com © 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
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