Spotlight: Arlington
地区
- America
国家
- United States
产品
- Ecolane DRT scheduling and dispatching software
- Ecolane Touch Screen MDT software
- Ecolane Web Self-Service Customer Scheduling
- Advanced Ecolane Reporting System
技术栈
- Android tablets
- Turn-by-turn navigation
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
技术
- 功能应用 - 企业资源规划系统 (ERP)
- 功能应用 - 远程监控系统
适用行业
- 运输
适用功能
- 物流运输
用例
- 车队管理
- 预测性维护
- 实时定位系统 (RTLS)
服务
- 软件设计与工程服务
- 系统集成
关于客户
Arlington is a city that required an overhaul of its transportation scheduling and dispatching system. The existing system was outdated and heavily reliant on manual processes, which led to inefficiencies and inaccuracies. The city needed a solution that could automate scheduling, provide real-time optimization, and offer a user-friendly interface for both drivers and customers. The goal was to enhance the overall efficiency and reliability of the transportation services provided to the residents of Arlington.
挑战
Arlington faced significant challenges with its outdated, inefficient, and manual scheduling and dispatching system. The reliance on paper manifests led to inaccuracies in on-time percentages and unreliable tracking of drivers. The overall system was user-unfriendly, causing operational inefficiencies and dissatisfaction among users. The need for a more reliable, automated, and user-friendly system was evident to improve the overall efficiency and accuracy of the transportation services.
解决方案
To address the challenges, Arlington implemented Ecolane's DRT scheduling and dispatching software. This software provided a comprehensive solution that automated the scheduling process and offered real-time optimization. Additionally, Ecolane's Touch Screen MDT software with turn-by-turn navigation was deployed on Android tablets, enhancing the ease of use for drivers. The solution also included Ecolane Web Self-Service Customer Scheduling, allowing customers to schedule their rides online. The Advanced Ecolane Reporting System, along with the Ad-hoc Reporting Tool, provided detailed insights and reporting capabilities, further improving the operational efficiency of the transportation services.
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.
Case Study
Cold Chain Transportation and Refrigerated Fleet Management System
1) Create a digital connected transportation solution to retrofit cold chain trailers with real-time tracking and controls. 2) Prevent multi-million dollar losses due to theft or spoilage. 3) Deliver a digital chain-of-custody solution for door to door load monitoring and security. 4) Provide a trusted multi-fleet solution in a single application with granular data and access controls.
Case Study
Vehicle Fleet Analytics
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.
Case Study
3M Gains Real-Time Insight with Cloud Solution
The company has a long track record of innovative technology solutions. For example, 3M helps its customers optimize parking operations by automating fee collection and other processes. To improve support for this rapidly expanding segment, 3M needed to automate its own data collection and reporting. The company had recently purchased the assets of parking, tolling, and automatic license plate reader businesses, and required better insight into these acquisitions. Chad Reed, Global Business Manager for 3M Parking Systems, says, “With thousands of installations across the world, we couldn’t keep track of our software and hardware deployments, which made it difficult to understand our market penetration.” 3M wanted a tracking application that sales staff could use to get real-time information about the type and location of 3M products in parking lots and garages. So that it could be used on-site with potential customers, the solution would have to provide access to data anytime, anywhere, and from an array of mobile devices. Jason Fox, Mobile Application Architect at 3M, upped the ante by volunteering to deliver the new app in one weekend. For Fox and his team, these requirements meant turning to the cloud instead of an on-premises datacenter. “My first thought was to go directly to the cloud because we needed to provide access not only to our salespeople, but to resellers who didn’t have access to our internal network,” says Fox. “The cloud just seemed like a logical choice.”
