Technology Category
- Functional Applications - Fleet Management Systems (FMS)
- Robots - Autonomous Guided Vehicles (AGV)
Applicable Industries
- Automotive
- Education
Applicable Functions
- Maintenance
Use Cases
- Fleet Management
- Transportation Simulation
Services
- Training
About The Customer
Rosendin Electric is an employee-owned electrical contractor based in San Jose, California. With revenues exceeding $2 billion, it is one of the largest electrical contractors in the United States, employing over 7,000 people. The company has a strong reputation for delivering quality electrical and communications installations, building value for clients, and fostering employee growth. Rosendin operates from 17 regional offices and job sites across the United States, with a fleet of more than 1,200 vehicles. Safety is a top priority for Rosendin, and the company is always seeking new ways to improve safety measures for its workers.
The Challenge
Rosendin Electric, a leading electrical contractor in the United States, faced a significant challenge in ensuring the safety of its over 7,000 employees who frequently travel to and from hundreds of job sites across the country. The company, which prioritizes safety, recognized the need for a solution that would provide visibility into their projects and workers' driving behaviors, such as idling or personal usage of the vehicle. They also sought a way to provide real-time coaching to correct any risky behaviors, including cell phone usage, drowsiness, and speeding. Additionally, Rosendin needed a technology partner that could provide exoneration evidence when their employees were involved in an incident but were not at fault. With a fleet of over 1,200 vehicles, tracking the location and maintenance of their fleet was also a focus for Rosendin, as unauthorized use and theft of assets could be a costly challenge if not addressed.
The Solution
To address these challenges, Rosendin partnered with Motive to leverage their Safety and Tracking & Telematics platform. The company rolled out Motive Driver Safety to its fleet, providing specialty contractors with real-time coaching when the Motive AI Dashcam detected risky behavior. This solution also gave managers the opportunity to coach employees on an ongoing basis, empowering Rosendin to reduce driving behaviors that could lead to costly and dangerous incidents. Additionally, Motive's Tracking & Telematics allowed managers to track fault codes, vehicle location, idling using the Vehicle Gateway, and asset location using the Asset Gateway. This technology even helped Rosendin track down a stolen vehicle, demonstrating its potential for asset protection.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.