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1968. Tutorial: Integrating Demand Management into Complex Decision Models
Invited abstract in session TA-24: Integrating Demand Management into Complex Decision Models, stream Tutorials (and Workshops).
Tuesday, 8:30-10:00Room: Esther Simpson 3.02
Authors (first author is the speaker)
| 1. | Arne Strauss
|
| WHU - Otto Beisheim School of Management |
Abstract
Many real-world decision problems involve not just optimizing supply-side operations but also actively managing customer demand. Businesses increasingly leverage pricing, product availability, and ranking strategies to influence demand, yet integrating these decisions with supply-side optimization creates highly complex problem structures.
For instance, a food delivery platform may guide customers toward certain restaurants based on driver availability and preparation times, while a grocery retailer might nudge customers toward specific home delivery slots to enhance logistics efficiency. These interactions open exciting new research avenues at the intersection of demand management, optimization, and data-driven decision-making.
This tutorial is designed for early career researchers eager to explore this dynamic field. We will cover foundational concepts, problem formulations, and solution strategies, along with hands-on exercises to illustrate key ideas. The goal is to spark new perspectives on how demand management can be embedded into a wide range of OR applications, equipping participants with fundamental knowledge on how to tackle cutting-edge optimization challenges.
Keywords
- Revenue Management and Pricing
- Transportation
Status: accepted
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