Aviation ICT Forum OCT 2014
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1 Airport Intelligence Enabler for Process Improvement Aviation ICT Forum OCT 2014 Jaipur S.Francis Rajan VP & Head ICT (Information and Communications Technology )
2 Aviation ICT Forum Jaipur 2014 Greetings from BIAL to all the Delegates
3 Short list of some of the Operational KPI s for Operational Optimization for an Airport Capture real time Operational KPI s If ACDM deployed capture all ACDM milestone data points for Operational Optimization With Near Real time capture of data points, visualization and presentation to Users to then slice and dice the data is essential. Operational BI s enables a good turn around - OTP Airside Operations Optimization Terminal side Operations Optimization Capture Terminal side operational KPI s Q Measurements to measure Dwell times in Check-in Q s; PESC Q s and Immigration Q s Customer feedback for Terminal Services like Washrooms Cleanliness, seating, PAX WiFi, Airport Info desk et all Landside Operations Optimization Engineering Infrastructure Optimization Real time BI for Car parking solution how many slots are free and location or pre booking of car or slot etc Free movement of vehicles in the multiple tracks Efficacy of PRM s and Ambulance which are all very critical services Operational KPI s of Engineering systems that impacts directly the PAX services like BHS, PBB, VDGS, HVAC, Lighting in the terminal etc
4 A Quick glimpse of EURO ACDM 16 Milestones Getting Started with FIPS Daily Mask Minimum Turn Around Time Estimated Turn Around Time Actual Turn Around Time Scheduled Off Blocks Time Estimated Off Blocks Time Estimated Landing Time ETA - FIDS Actual Take Flight Off Time Radar Contact Scheduled In-Blocks Time Target Start Up Approval Time ETD - FIDS Scheduled In Blocks Time Target Off Blocks Time Flight Estimated Plan Activation Time Off Blocks Time Actual Start Boarding Time Actual Start Up Approval Time Actual End of Ground Handling Time Actual Off Blocks Time Actual Ready Time Actual Off Blocks Time Estimated In Blocks Time Target Landing Time Actual In Blocks Time Actual Commence of Ground Handling Time On-Chocks Actual Landing Time Target Take Off Time Calculated Take off Time Actual Start Up Request Time Actual Take Off Time Off chocks October 15,
5 Collaboration & Situation Awareness dashboard 5
6 Screen shot from the Application 6
7 2 Turn-around Compliance A-CDM Dashboards are Important To Project The Accuracy Of Prediction Done By Airlines/GHA In Terms of TOBT ( Target Off Block time) and EIBT ( Estimated in block time) These ratios signify better A-CDM Operations And Predictions thus Leading To More Efficient And Predictable Operations At BIA. TAC Turn-around Compliance 1. TAC for Domestic 2. TAC for International 3. TAC By GHA 4. TAC By Hour 5. TAC By Shifts 6. TAC By Delay Code 7
8 2 Turn-around Compliance TAC Turn-around Compliance continued 7. TAC By Month (15 Min diff) 8. TAC By Month (0 Min diff) 9. TAC By GHA 8
9 3 ELDT Predictability ELDT Predictability ELDT Estimated landing time The estimated time that an aircraft will touchdown on the runway. With Better EIBT & ELDT Predictability Airlines/GHA Can Plan Their Departures & Resources. 1. ELDT By Airline 2. ELDT By Aircraft Size 3. ELDT By Shift 9
10 5 EIBT Predictability EIBT Predictability EIBT - Estimated In-Block Time. The estimated time that an aircraft will arrive in-blocks. Equivalent to Airline/Handler ETA Estimated Time of Arrival 1. EIBT By Zone 2. EIBT By Aircraft Size 3. EIBT By Runway 4. EIBT By Shift 10
11 6 TSAT Predictability TSAT Predictability TSAT - Target start-up approval time The time provided by ATC taking into account TOBT ( Target Off blocks Time), CTOT ( calculated Take off Time) and/or the traffic situation that an aircraft can expect startup / push back approval 1. TSAT By Airline 2. TSAT By GHA 3. TSAT By Shift 11
12 4 TLDT Predictability TLDT - Target Landing Time Targeted Time from the Arrival management process at the threshold, taking runway sequence and constraints into account. It is not a constraint but a progressively refined planning time used to coordinate between arrival and departure management processes. 1. TLDT By Airline 2. TLDT By Aircraft Size 3. TLDT By Shift 12
13 CPM: Airside App Home Page
14 CPM: Airside Incident #1
15 CPM: Terminal Incident #3
16 CPM: Airside Enforcements - Incident
17 CPM: Terminal App Home Page
18 Collaboration towards an on-time Departure taking Airport Operations to the next level Flight handling On block Aerobridge Deboarding Pax/Crew/Bag-Transport Cleaning Cabin Service Fueling Boarding Push back Unloading Maintenance Loading Off block
19 Q Measurements to be auto captured for end to end airport operations to be more efficient NEED TO MEASURE AIRPORT PROCESS TIMES AGREED KPI S - REAL TIME BASIS TO BETTER OTP CAPTURE OPERATIONAL METRICS - KPI S AS IT HAPPENS ON NEAR REAL TIME BASIS USING MOBILITY SOLUTIONS AND TOUCHSCREEN SOLUTIONS EXAMPLES: FIRST BAG & LAST BAG CABIN CLEANING, FIRST BAG AND LAST BAG DELIVERY FLIGHT CATERING Q MEASUREMENTS FUEL TANKERING # CHECK-IN Q TIMES # SECURITY Q TIMES # IMMIGRATION Q TIMES
20 Some sample screen shots of SAP BO report To benchmark ones own Airport
21
22 October 15, 2014
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