On December 15, IBA put into production the Information Analysis System to Manage Cargo Railway Transportation (IAS MCRT) at Belarusian Railway.
In cooperation with Belarusian Railway, IBA developed a concept and prototype of the Information Analysis System to Support Management Decisions on Cargo Transportation at Belarusian Railway (BR). The joint project to implement the system was launched in late 2002. The new system was required to increase the profitability of cargo transportation, the final goal being to create an integrated information system at Belarusian Railway.
Having replaced a legacy cargo transportation management system produced in the USSR, the new system became the main management system for processing information about the transportation process.
The new system is intended for information support of management decisions to enhance work efficiency, raise the volume and quality of service, and reduce transportation costs. The system allows for generating information documents to answer the inquiries of railway employees using internet technologies and for conducting comparative data analysis.
IAS MCRT includes the following subsystems that function asynchronously:
All IAS MCRT applications have a similar intuitive and easy–to–use interface that simplifies the work of the BR employees and their training.
Implementation of the corporate IAS MCRT allowed for streamlining a large number of business processes of the customer including management of cargo and passenger transportation, generation of daily status reports on the work of stations and offices, registration of car maintenance and car rental operations, and planning of shipments.
The Information Analysis System to Support Management Decisions on Cargo Transportation implemented by IBA at Belarusian Railway is a unique project in Belarus considering the scale of automation, territorial distribution, and amount of work.
Is management at your organization efficient? Are your clients’ needs 100 percent satisfied? IBA offers business analytics solutions based on proven platforms from IBM, SAP, and Oracle.