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SSP OR 101 SSP OR 101 is a serious of lectures from the leading industry and academia experts on basic bussiness processes and operations research algorithms used in airline planning and scheduling. The course is designed for practitioners who would like to learn more about automation, data manipulation, forecasting and optimization techniques behind leading desicion support systems used in the airline industry. No special knowledge of mathematics, computer science or particular software products is required. This course is offered as a half day session preceding the AGIFORS SSP study group meeting. For dates, location and registration please visit the conference website. Content 1. Demand forecasting and profitability evaluation (market size estimation, customer choice modeling, spill and recapture). 2. Fleet planning (leasing, long term maintenance). 3. Network developments (market and frequency selection, flight retiming, codeshare and block-time optimization). 4. Fleet assignment (Leg FAM, O&D FAM, Stochastic demand, Close-in refleeting). 5. Aircraft routing (maintenance, tight turns, slack redistribution, preferred connections). 6. Integration with other areas (revenue management, maintenance, ground operations, crew scheduling). What this course is and is not · This course is not a training course on a specific tool from any vendor (If you are interested in it click vendors). · This course is not an update on recent advances or cutting edge technology in the area of strategic planning and scheduling (If you are interested in it come to the main part of the next AGIFORS SSP meeting). · This course is not a course that teaches how to create a good schedule (If you are interested in it click consulting or courses). · This course is about basic operations research models employed by airline planning and scheduling decision support system. If you attend it you will: o Better understand how decision support systems build optimal schedules o Create a consistent picture of airline’s planning and scheduling processes o Learn how to use automated scheduling systems to achive the best result o Recognize the benefits of the complex forecasting and optimization algorithms Who should attend · Network and capacity planners interested in automation of schedule optimization. · Graduate students working on applications of operations research to airline planning. · Anyone who is looking for a deeper understanding of airline planning processes. Contributors Amy Cohn, PhD, is an Associate Professor in the Department of Industrial and Operations Engineering at the University of Michigan. She is also affiliated with the MIT Global Airline Industry Program and the Industry Studies Association. Her primary research interest is in robust and integrated planning for large‐scale systems, predominantly in aviation and healthcare applications. Semi Gabteni, PhD, is Senior Manager Operations Research and Optimization at Amadeus. He started his career at the French  Railways working with Sabre on Crew Scheduling and Yield Management. He then joined Jeppesen (formerly Carmen Systems) as an OR expert and later on as an R&D Manager, where he initiated the Airline Fleet Management developments and worked on various Crew Management projects. His technical background is Optimization and Mathematical Programming, and his prime area of interest today is How to make Decision Support as easy-to-use and easy-to-deploy as possible. Mattias Grönkvist, PhD, leads the fleet optimization group at Jeppesen. He has many years of experience developing fleet and crew optimization applications for airlines and railways. His PhD thesis 'The Tail Assignment Problem' won the Dissertation Award in the Informs Aviation Applications Section in 2006. Kemp Harker is currently a Director of Fleet and Network Planning at Boeing Commercial Airplanes.  Kemp is responsible for fleet and network analysis of commercial airplanes for airline customers and the development of revenue models used by Marketing.  Previously, Kemp developed Boeing’s Current Market Outlook with responsibility for airline forecasts in the Asia/Pacific region.  He has also been involved in spare parts forecasting and inventory management problems as well as spending several years developing software for Boeing.  One problem area Kemp focused on was the development of passenger choice models. Sergey Shebalov, PhD, is a Principal Research Analyst at Sabre Holdings. Prior to joining Sabre he worked at the Enterprise Optimization group of United Airlines. Sergey has over 10 years of experience working on development of mathematical models and decision support systems for airline industry. His research includes studies in network development, revenue management and operations optimization. He is currently working on developing a simulation framework for model evaluation and integration of automated planning processes. If you have any questions about this course please send an e-mail to sergey.shebalov@sabre.com.