Presentation is loading. Please wait.

Presentation is loading. Please wait.

LRDSS an IT industry perspective Dr Siddhartha SenGupta Tata Infotech

Similar presentations


Presentation on theme: "LRDSS an IT industry perspective Dr Siddhartha SenGupta Tata Infotech"— Presentation transcript:

1 LRDSS an IT industry perspective Dr Siddhartha SenGupta Tata Infotech LtdSiddhartha.SenGupta@TataInfotech.com

2 Copyright: Tata Infotech Limited 2 Agenda  Strengths  Possible enhancements?  Commentary - Phase end findings  Tata Infotech in related work 1.LRDSS project 2.Train Planning, Monitoring & Control 3.Equipment repositioning - loco/wagon availability 4.The "Data problem" - towards analytical quality  The "IT" angle 1.LRDSS is not "IT" - it is Management Science 2.Expectations of Indian “IT” companies

3 Copyright: Tata Infotech Limited 3 LRDSS - Strengths  One of the few Large Scale Analytical Planning tools used by Indian Public Sector  Major aspects covered:  Opportunity: Forecasting business volume & price  Threats: Analyzing competition  Strength/Weakness: Rail technology evaluation  Micro level: Sectional bottleneck analysis  Plan generation  Alternate investment scenario analysis  Project Cost, Revenue & Cash Flow report  Improvement in data quality, backed up by surveys  “Best of breed” analytical approaches  Excellent team

4 Copyright: Tata Infotech Limited 4 LRDSS – enhancements?  System Verification:  Monitoring: Compare prediction against actual Success report on projects evaluated  Valuation: Estimate RoI of LRDSS  Goal: LRDSS as a core input to Rail Budget  Some additions/changes  Workflow S..Z..B for Business/Price Forecasts  “Rail Technology” to include “ICT” option  “Force multiplication” of Rs 25 KB Loco/wagons 1%=$100M  Use automated train planning w/ data logger inputs  RAILS does not optimize (only feasibility check)  Use Furness approach also for capacity analysis  MINOS is outdated, use GA-based engines  Linearize all models

5 Copyright: Tata Infotech Limited 5 LP speed up

6 Copyright: Tata Infotech Limited 6 Commentary– Phase findings  ’96 Phase I report:  Data unavailability – impacts: delay, report quality  “Ambitious” with 3 modules (bugs, integration,..)  China Rail 1990 study quoted, but reorganization?

7 Copyright: Tata Infotech Limited 7 Commentary– Phase findings  ’00 Phase II report:  Declining profitability – make IR unviable??  How improve wagon availability? (customer need)  How reduce ops slack? (30% capacity here)  How to “tighten” loco timetables? (capacity issue)  Capacity only answer to bottleneck??  Golden Quadrilateral??  New trucking technology & improved road load??  Improved sectional “capacity” measurement??  New ops practices? e.g. heavy MUXing for freight  “Expert Advisors” were suggested for IT – where?  MIS systems were suggested – lack integration

8 Copyright: Tata Infotech Limited 8 Agenda  Strengths  Possible enhancements?  Commentary - Phase end findings  Tata Infotech in related work 1.LRDSS project 2.Train Planning, Monitoring & Control 3.Equipment repositioning - loco/wagon availability 4.The "Data problem" - towards analytical quality  The "IT" angle 1.LRDSS is not "IT" - it is Management Science 2.Expectations of Indian “IT” companies

9 Copyright: Tata Infotech Limited 9 Oil Coordination Committee INDIA Oil Tanker Scheduling Projects

10 Copyright: Tata Infotech Limited 10 Tata Infotech - LRDSS  Supported WB consultants Peter Cook and Bob Leilich  RAILS simulations  Data cleaning & Optimisation  Short interaction at GIS/Trans and CSI offices  Longer interaction at Railway Board  Lessons  Very low level interaction  No joint planning  Contract work limited to simulations on T&M  Systems replacement options outside scope  Budget / long term plans unknown

11 Copyright: Tata Infotech Limited 11 O O p p e e r r a a t t i i o o n n s s M M a a n n a a g g e e m m e e n n t t MIS Reports Static Data Controller Inputs Field Data Graphic Displays: Train Describer Passenger Information Simulation Planning Training Alarms Maintenance Route Control CTC OPEN COMMON INTERFACE Tata Infotech Train Ops System

12 Copyright: Tata Infotech Limited 12 Operations Management Train Planning Real-time operationsReal-time operations Avoid “Scheduler blues” line blockageAvoid “Scheduler blues” line blockage Line Capacity utilisationLine Capacity utilisation Timetabling passenger/freightTimetabling passenger/freight Freight train pathingFreight train pathing Realistic simulationsRealistic simulations Tata Infotech Train Ops System

13 Copyright: Tata Infotech Limited 13 The resources  Timetabled passenger express….commuter  Pathed freight heavy….empty  Medical / breakdown / tool vans  Light engine  Stabled loads  Motor, O/H equipment trolley  TTM machine  Gangman's trolley    Tracks mainly single, some double gradients, curvatures  Stations passing loops, halt stations  Signalling absolute block  SCADA interfaced to signal panel

14 Copyright: Tata Infotech Limited 14 Trains Stations

15 Copyright: Tata Infotech Limited 15

16 Copyright: Tata Infotech Limited 16 Sites

17 Copyright: Tata Infotech Limited 17 Infrastructure Planning  Highly congested segment  Passenger & freight  “Double Conventional” line operation  “Absolute block” signaling  Operations Managers suggested  addition of 3rd line  Signal Managers suggested  signaling upgradation to Automatic  extension of some station loops  Simulation objective: capacity increase by signaling change

18 Copyright: Tata Infotech Limited 18 More tracks or signaling? station inter-station section 5 Km Double Conventional line Advanced starter Home Dist1 Dist2 Home 1 Km Double Conventional line Advanced starter Home

19 Copyright: Tata Infotech Limited 19 AUTO SIGNALING Simulation results

20 Copyright: Tata Infotech Limited 20 Simulation results analysis  Current traffic pattern + Signal conversion gives 8% - 9% capacity increase  Reason for low increase: Advanced Starter to Home signal = 5 KM ZZ  Average “Absolute block” section Advanced Starter to Home signal = 5 KM ZZ  4 R Y YY G 1st (green) to 4th (red) signals = 3 Km  4 aspect ( R, Y, YY, G ) signals at 1 Km 1st (green) to 4th (red) signals = 3 Km  Suggested addition of loops on both sides at all stations

21 Copyright: Tata Infotech Limited 21 Agenda  Strengths  Possible enhancements?  Commentary - Phase end findings  Tata Infotech in related work 1.LRDSS project 2.Train Planning, Monitoring & Control 3.Equipment repositioning - loco/wagon availability 4.The "Data problem" - towards analytical quality  The "IT" angle 1.LRDSS is not "IT" - it is Management Science 2.Expectations of Indian “IT” companies

22 Copyright: Tata Infotech Limited 22 Global Container Logistics Forecasting & Planning, Empty Container Repositioning Managing 3PL business

23 Copyright: Tata Infotech Limited 23 Global Container Logistics in “Buying & selling of Logistics” Client in “Buying & selling of Logistics” World #1 Global 3PL in tank containers Global operations Multi-commodity Network Flow Driven by RoI – optimised asset utilization Improved sales by 12% Improved revenue by over $8M/yr Workflow Technology Optimisation, Forecasting & Workflow Work Optimised Repositioning Annual Forecasting & Budgeting

24 Copyright: Tata Infotech Limited 24 Agenda  Strengths  Possible enhancements?  Commentary - Phase end findings  Tata Infotech in related work 1.LRDSS project 2.Train Planning, Monitoring & Control 3.Equipment repositioning - loco/wagon availability 4.The "Data problem" - towards analytical quality  The "IT" angle 1.LRDSS is not "IT" - it is Management Sciences 2.Expectations of Indian “IT” companies

25 Copyright: Tata Infotech Limited 25 Clean Analytical workbench MIS Systems Analytical Data Marts Logistics Accounts & Sales Accounts & Sales Yield Mgmnt ETL Planner’s Workbench Models, Parameters Analytical Functions Models, Parameters Analytical Functions Statistical Processing Statistical Processing Optimisation Intranet Management & Accounts Management & Accounts Global Operations Global Sales Other ERP MIS Business Interface Plans Budgets Pricing

26 Copyright: Tata Infotech Limited 26 Agenda  Strengths  Possible enhancements?  Commentary - Phase end findings  Tata Infotech in related work 1.LRDSS project 2.Train Planning, Monitoring & Control 3.Equipment repositioning - loco/wagon availability 4.The "Data problem" - towards analytical quality  The "IT" angle 1.LRDSS is not "IT" - it is Management Science 2.Expectations of Indian “IT” companies

27 Copyright: Tata Infotech Limited 27 IT element in LRDSS LRDSS is NOT an “IT” project (IIT/IIM Depts)LRDSS is NOT an “IT” project (IIT/IIM Depts) 1.The IT components are secondary 2.The Planning formulation is primary 3.“IT” is not a “Rail Technology” in LRDSS There are interesting tools/processesThere are interesting tools/processes 1.Sectional capacity analysis 2.Train Timetabling 3.Train Monitoring & Planning 4.Loco/wagon repositioning 5.Customer Survey Analysis 6.Demand & Price Forecasting

28 Copyright: Tata Infotech Limited 28 Expectations of vendors Contract managementContract management Work acceptance criteriaWork acceptance criteria Volume, duration & nature of workVolume, duration & nature of work Consultancy rates (ref MRVC project)Consultancy rates (ref MRVC project) LRDSS budget & timeframesLRDSS budget & timeframes SuggestSuggest IR-Academia-Industry partnershipIR-Academia-Industry partnership Joint planning & executionJoint planning & execution Funding reflecting returns/savingsFunding reflecting returns/savings

29 Copyright: Tata Infotech Limited 29 Tata Infotech Offerings Analytic Services using these Technologies Data Analysis (Statistics, Data Mining) Optimization (OR, Artificial Intelligence) Rule Based Systems Types of projects Small-to-mid size, Duration 1 month – 6 months Innovative/ repetitive work Outsourcing modes T&M with Tata Infotech Technical Management T&M with Client Technical Management Turnkey http://www.tatainfotech.com/services/optimization/index.htm


Download ppt "LRDSS an IT industry perspective Dr Siddhartha SenGupta Tata Infotech"

Similar presentations


Ads by Google