CM-08 · Crew Hotel & Transportation Management

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Process Flow Diagram (BPMN)

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L4 Process Steps

Step	Step Name	Role / Swim Lane	System	Input	Output	KPI	Dec?	Exc?
Phase 1 1.1	Extract layover schedule by station and date	Crew Scheduling Analyst	Jeppesen Crew Management Suite	Published crew pairings for 14-day rolling window	Layover demand matrix by city, date, and crew count	Schedule extraction latency <15 min after pairing publish	N	N
1.2	Forecast hotel room demand by city	Crew Logistics Coordinator	AWS Crew Operations System	Layover demand matrix, historical IROPS uplift factors by station	City-level room demand forecast with IROPS buffer (typically +15%)	Forecast accuracy ≥90% vs actual bookings week-over-week	N	N
1.3	Validate contracted block vs demand forecast	Crew Logistics Manager	Crew Hotel Management System	Room demand forecast, contracted block inventory by hotel and city	Block gap report flagging cities with coverage <95%	Contracted block coverage ≥95% of forecasted demand	Y	Y
Phase 2 2.1	Auto-generate hotel reservations for pairings	Crew Logistics Coordinator	Crew Hotel Management System	Approved layover schedule, contracted hotel inventory	Hotel confirmation records with room type, check-in/out times	Auto-booking rate ≥98% for standard layovers; zero manual entry for pairings >48 hrs out	N	N
2.2	Book ground transport for crew arrival and departure	Crew Transport Coordinator	Ground Transport Dispatch System	Hotel confirmation records, scheduled flight arrival/departure times	Transport schedule with vendor assignment, vehicle type, and pickup windows	Transport booking confirmed ≥4 hrs before crew arrival; on-time pickup rate ≥97%	N	Y
2.3	Validate hotel transit time vs FAR 117 rest period	Crew Logistics Manager	Jeppesen Crew Management Suite	Hotel address, transport time estimate, crew report time for next leg	FAR Part 117 §117.25 compliance flag per crew member	100% of layovers validated against FAR Part 117 before booking confirmation	Y	Y
Phase 3 3.1	Monitor real-time schedule changes affecting layovers	Crew Control Officer	AWS Crew Operations System	Live flight operations feed, crew schedule update events	Change alerts for affected hotel and transport bookings	Change detection latency <5 min from schedule update event	N	N
3.2	Amend hotel and transport bookings for disruptions	Crew Logistics Coordinator	Crew Hotel Management System	Change alert with new layover city, arrival time, or cancellation flag	Amended or cancelled booking confirmations sent to hotel and transport vendor	Amendment completion within 30 min of schedule change notification	Y	Y
3.3	Push updated crew itinerary to mobile devices	Crew Control Officer	Jeppesen CrewConnect Mobile	Amended booking confirmations, crew contact roster	Push notification with hotel name, address, transport pickup time, and confirmation number	Notification delivery rate ≥99.5%; crew acknowledgement ≥95% within 30 min	N	N
Phase 4 4.1	Dispatch transport on actual aircraft block-in	Crew Transport Coordinator	Ground Transport Dispatch System	ACARS actual gate arrival time, crew count from flight manifest	Driver dispatch instruction with ETA to gate	Transport wheels-rolling ≤20 min after block-in; crew at hotel ≤45 min after block-in	N	N
4.2	Confirm all crew aboard transport before departure	Crew Transport Coordinator	Ground Transport Dispatch System	Crew roster for arriving flight, driver headcount check	Departure confirmation or missing-crew alert	Crew accounting accuracy 100% before vehicle departs gate area	Y	Y
4.3	Source spot-rate hotel for IROPS overflow crew	Crew Logistics Manager	Crew Hotel Management System	Block gap report, IROPS declaration from Network Operations Control	Spot-rate hotel bookings for overflow crew with transport coordination	Overflow booking confirmed <2 hrs from IROPS declaration; spot rate ≤2.5x contracted rate	N	Y
Phase 5 5.1	Reconcile hotel and transport invoices to bookings	Finance Analyst	SAP S/4HANA Finance (FI/CO)	Vendor invoices, hotel and transport booking confirmation records	Matched/unmatched line items and variance report by vendor	Invoice-to-booking match rate ≥97%; variance items resolved within 10 business days	Y	Y
5.2	Generate vendor performance scorecard	Crew Logistics Manager	Tableau / Power BI	Matched invoice data, crew feedback submissions, transport on-time records	Quarterly vendor scorecard covering cost compliance, service quality, and SLA adherence	Vendor SLA compliance ≥95%; crew accommodation satisfaction score ≥4.2 / 5.0	N	N

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Process Attributes

Identification

Process IDCM-08

L1 DomainCrew Management

L2 ProcessCrew Day-of-Operations

L3 NameCrew Hotel & Transportation Management

L4 Steps14 across 5 phases

Decision Gates5 (all with iteration loops)

Exceptions7 documented

Swim Lanes (Roles)

Crew Scheduling Analyst

Crew Logistics Coordinator

Crew Logistics Manager

Crew Transport Coordinator

Crew Control Officer

Finance Analyst

Systems & Tools

Jeppesen Crew Management SuiteAWS Crew Operations SystemCrew Hotel Management SystemGround Transport Dispatch SystemJeppesen CrewConnect MobileSAP S/4HANA Finance (FI/CO)Tableau / Power BI

Key Performance Indicators

Extract layover schedule by station and dateSchedule extraction latency <15 min after pairing publish

Forecast hotel room demand by cityForecast accuracy ≥90% vs actual bookings week-over-week

Validate contracted block vs demand forecastContracted block coverage ≥95% of forecasted demand

Auto-generate hotel reservations for pairingsAuto-booking rate ≥98% for standard layovers; zero manual entry for pairings >48 hrs out

Book ground transport for crew arrival and departureTransport booking confirmed ≥4 hrs before crew arrival; on-time pickup rate ≥97%

Validate hotel transit time vs FAR 117 rest period100% of layovers validated against FAR Part 117 before booking confirmation

Monitor real-time schedule changes affecting layoversChange detection latency <5 min from schedule update event

Amend hotel and transport bookings for disruptionsAmendment completion within 30 min of schedule change notification

Airline-Specific Risks & Pain Points

Late pairing publication (T-24h or less) leaves insufficient lead time for contracted hotel vendors requiring 48-hr booking notice

IROPS surges at hub stations can exhaust all contracted room blocks within 2 hrs; forecast buffers are static and do not adjust to live weather events

Multi-hub IROPS events simultaneously exhaust blocks across 3–5 cities; no automated cross-city reallocation mechanism exists in current system

API integration gaps with major hotel chain property management systems cause duplicate booking records requiring manual reconciliation 3–4 times per week

Schedule changes within T-2h require emergency vendor calls; dispatch API does not support same-day amendments at 60% of outstations, forcing manual phone coordination

Hotels beyond 30-min transport window from airport trigger rest period recalculation under §117.25; legacy hotel contracts predate this requirement and contain non-compliant properties

Inputs / Outputs

Primary InputPublished crew pairings for 14-day rolling window

Primary OutputQuarterly vendor scorecard covering cost compliance, service quality, and SLA adherence

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