Download PDF
TIBCO Moves Lufthansa Cargo from a Legacy System to a Flexible Future
Technology Category
- Application Infrastructure & Middleware - Data Exchange & Integration
- Application Infrastructure & Middleware - Middleware, SDKs & Libraries
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries
- Transportation
Applicable Functions
- Business Operation
- Quality Assurance
Use Cases
- Track & Trace of Assets
- Predictive Maintenance
- Process Control & Optimization
- Remote Asset Management
Services
- System Integration
- Software Design & Engineering Services
- Training
The Challenge
Lufthansa Cargo’s IT systems had evolved into a complex and heterogeneous structure centered around the host-based MOSAIK application, which dated back to the seventies. This system enabled access to product information, bookings, reservations, and shipment tracking, as well as the exchange of waybill data via electronic data interchange (EDI). However, developing add-ons and adaptations to this system was time-consuming and costly, which was necessary for the optimal support of Lufthansa Cargo’s time-definite services. These services responded to customers’ needs for the rapid shipment of specific types of goods within a precisely defined time frame. The company needed to reduce operating costs by simplifying the complexity of interfaces and maintenance, and to accelerate the time to market of its new products and services. Enterprise and business application integration were identified as key facilitators, connectors, and control systems to achieve these objectives.
About The Customer
Lufthansa Cargo AG (LCAG) is the freight subsidiary of Deutsche Lufthansa AG, the German national airline. Although its core business is the processing of airport-to-airport airfreight, the company offers several services using a global network of routes to 493 destinations. In the international scheduled airfreight business, Lufthansa Cargo is the front-runner among the International Air Transportation Association (IATA) carriers. The company’s IT systems had grown over the years into a complex and heterogeneous structure, centered around the host-based MOSAIK application, which dated back to the seventies. This system enabled access to product information, bookings, reservations, and shipment tracking, as well as the exchange of waybill data via electronic data interchange (EDI).
The Solution
Lufthansa Cargo chose to implement TIBCO’s business integration software to migrate from its legacy systems to a more flexible and efficient architecture. The new enterprise application integration (EAI) architecture replaced the existing complex structure with a shared integration layer, consisting of the TIBCO Information Bus® as the backbone, along with applications, web services, and interfaces connected to it. This architecture enabled real-time business process execution and reduced development risks and costs. Lufthansa Cargo conducted a proof-of-technology (POT) test to evaluate each vendor’s software, involving different business units and teams to familiarize themselves with the new technology. TIBCO’s software fulfilled all requirements, partly due to its central information bus and compliance with standards such as Java 2 Enterprise Edition (J2EE) and XML. With comprehensive support for web services technology (SOAP, WSDL, and UDDI), Lufthansa Cargo could easily and cost-effectively connect applications and processes, such as workflow.
Operational Impact
Quantitative Benefit
Related Case Studies.
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.”
