1. IT Applications in Freight business B.V.L.Narayana RSC/BRC

2. Why have IT applications It applications are useful in instances  Transactions, repetitive, large in number, avoid variations in behavior and process  Data capture at point of interchange, large volume, repetitive and required for process execution  Storage of large volumes of primary data, requiring manipulation and use for business decision making

3. Advantages of IT Can be a minimal human interface system with extensive standardization  Avoids variation in process, mistakes, inconsistencies, deviations  Speed of execution  Stability and reliability of capture of data and process  Relieves human mind occupation for higher order decision making—contextual  Allows greater control of decentralized activities

5. Primary Documents Operations  Control charts  Wagon consist  CTR  Loco cards  Trains register at stations Customer interface  Wagon indent registration note  Placement and removal register  Wharfage register  Railway receipt  Delivery register

6. Applications in freight business Freight  Front end applications TMS E-payment Consignment tracking Claims management system  Operational FOIS Crew management system Control charting Parcel  Parcel management system

7. FOIS Freight operations information system  first conceived in 1982  Led to formation and functioning CRIS in 1987  RMS pilot implementation started in 1999 on NR  >500 locations covered under RMS  TMS implementation started in 2006  E-payment –pilot project 2007 Being extended to major customers in phases  FOIS terminals being extended to customers

8. FOIS ENABLES  MONITORING OF TRAIN OPERATIONS  COMMODITY WISE FLOWS FOR IMPORTANT COMMODITIES  STOCK POSITION  PENDING INDENTS  CONSIGNMENT TRACKING FUTURE PROSPECTS  DATA WARE HOUSING—DSS for business planning  Web enabled MIS reporting

9. Terminal management system Introduced as phase II of FOIS in 2006  enables management of activities at freight terminals Commercial activities– RR preparations; e-payment Document generation—wagon consist, labels Data capture and report generation—DC,WC etc Detention analysis Commodity and customer details capture Customer facilitation in tracking consignments for large customers

10. Parcel management system  Pilot project on delhi –howrah corridor  Project architecture—RDBMS based software on three tiered network  Modules Booking and Delivery Modules Loading and Unloading modules Demurrage and Wharfage calculation VP and lease Booking Printing of Bar Code Labels on packages and scanning On Line Status and tracking Over-carriage and Undercarriage position

11. Parcel management system Roll out strategy 2008-09  Phase I –119 stations  Phase II—105 stations  Covers golden quadrilateral and its diagonals  Target date for roll out 30-06-2009  Status on date-

12. Crew management system System to enable  Management of crew activities Booking Monitoring including performance evaluation Information updation MIS report generation DSS for planning  Rolled out in 2007  >110 lobbies covered  Biometrics, abnormality reporting to be covered

13. Claims management system Phase I—computerization of claims office  Web enabled system covering claims Court cases Accident information management system information updation Customer tracking of claim cases Phase II– covers Computerization of  RCTs  goods refunds  Subsidiary claims offices

14. Control charting application Started as pilot project independently at multiple places– SR 1998 Centralized software development by CRIS 2001started Roll out started 2005 Capture originating point of data for all operations activties

15. Extent of IT utilization Is a function of top management  Vision of processes being done by organisation  Vision of utility of technology of IT  Vision of what capabilities organisation has  Strategic vision for organisation

16. Areas un covered Accounting data and apportionment Costing data and linkage to pricing--? Dynamic Customer preferences Customer satisfaction Aggregate industrial economic data for DSS on business decision making Competitive modes data

17. Thanks any questions