Airline Operations Lecture #2 1206J Apri27,2003
Airline Operations Lecture #2 1.206J April 27, 2003
Summary Lecture #1 Airline schedules(Aircraft ,crew passengers) are optimized leading to Little slacks(idle time) Schedule dependencies Delay chain effects Causes of schedule disruptions Shortages of airline resources Shortages of airport resources Complex airline resource regulations Aircraft maintenance Pilots
Summary Lecture #1 • Airline schedules (Aircraft, crew, passengers) are optimized leading to: ¾ Little slacks (idle time) ¾ Schedule dependencies ¾ Delay chain effects • Causes of schedule disruptions ¾ Shortages of airline resources ¾ Shortages of airport resources • Complex airline resource regulations ¾ Aircraft maintenance ¾ Pilots
Airline Schedules Recovery Schedule recovery Model (sRM) SRM Aircraft Recovery Model(ARM Crew Recovery Model CRM) Passenger Flow Model(PFM ARM CRM PFM Journey Management Passenger Re-accommodation Passenger Reaccommodation
Airline Schedules Recovery ¾ Schedule Recovery Model (SRM) ¾ Aircraft Recovery Model (ARM) ¾ Crew Recovery Model (CRM) ¾ Passenger Flow Model (PFM) ¾ Journey Management ¾ Passenger Re-accommodation 650 $50 &50 3)0 3DVVHQ J HU 5HDFFRPPRGDWLRQ
Summary Lecture #1(Cont) Airline schedules recovery problems r Aircraft maintenance module Objective: feasibility only Crew schedule recovery module Objective: to minimize disruptions, recover the disrupted with minimum flight schedule disruptions and control Flight Time Count Complex rules Passenger schedule recovery module Objective: to minimize passenger delays, ill will, gap between expected and delivered service Complexity: Priority rules(booked over disrupted, priority among disrupted: network, user, FFP, fare class) Seat availability uncertainty
Summary Lecture #1 (Cont.) • Airline schedules recovery problems ¾ Aircraft maintenance module: • Objective: feasibility only ¾ Crew schedule recovery module • Objective: to minimize disruptions, recover the disrupted with minimum flight schedule disruptions and control Flight Time Count • Complex rules ¾ Passenger schedule recovery module • Objective: to minimize passenger delays, ill will, gap between expected and delivered service • Complexity: – Priority rules (booked over disrupted, priority among disrupted: network, user, FFP, fare class) – Seat availability uncertainty
Lecture#2 Outline Passengers are important to satisfy Tricks to prevent schedule disruptions and recover schedules Traditional ARM: Model shortcomings Interdependency of passengers and aircraft operations Our approach: Minimizing sum of disrupted passenger Flight copy generation and solution feasibility Minimizing sum of passenger delays Proxy of minimizing sum of passenger delays Simulation environment Conclusion
Lecture #2 Outline • Passengers are important to satisfy • Tricks to prevent schedule disruptions and recover schedules • Traditional ARM; Model shortcomings • Interdependency of passengers and aircraft operations • Our approach: Minimizing sum of disrupted passenger • Flight copy generation and solution feasibility • Minimizing sum of passenger delays • Proxy of minimizing sum of passenger delays • Simulation environment • Conclusion