Demand is
an important quantity in many optimization problems, such as revenue management
and supply chain management. Demand usually depends on “supply” (price and
availability of products, f.e.) which in turn is decided on in the optimization
model. Hence, demand is endogenous to the optimization problem. Choice-based
optimization (CBO) merges discrete choice models with math programs. Discrete
choice models (DCM) are applied by both - practitioners and researchers - for
more than four decades in various fields. DCM describe the choice probabilities
of individuals selecting an alternative from a set of available alternatives.
CBO determines (i) the availability of the alternatives and/or (ii) the
attributes of the alternatives, i.e., the decision variables determine the
availability of alternatives and/or the shape of the attributes. We present CBO
applications to location planning, supply chain management, product portfolio
planning, and revenue management.
Schedule
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11:30 - 12:30
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Sven Müller, Karlsruhe University of Applied Sciences:
Choice-Based Optimization - How to merge customers’choices and
organizational decisions?
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12:30 - 13:15
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Lunch Break
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13:30 - 14:00
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Sylvia He, Chinese University of Hong Kong:
Spatial Planning of Public EV Charging Stations
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14:00 - 14:30
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Shadi Sharif Azadeh, Erasmus University
Rotterdam:
A new MILP formulation for choice-based optimization models
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14:30 - 15:00
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Coffee Break
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15:00 - 15:30
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Knut Haase, Hamburg University:
A Pilgrim Scheduling Approach to Increase Public Safety During Hajj
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15:30 - 16:00
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Robert Dochow, Air Berlin PLC & Co. Luftverkehrs KG:
Online Optimization and Revenue Management
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Ab 16:00
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Barbecue (optional)
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Mittwoch, 18. Oktober 2017
11:30 - 16:00, Vortragssaal
Steinbeis-Haus
About the speakers:
