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3782. Congested Hub Location Problem with Price-dependent Demand
Invited abstract in session TB-61: Nonlinear Location Optimization, stream Locational Analysis.
Tuesday, 10:30-12:00Room: S10 (building: 101)
Authors (first author is the speaker)
| 1. | Ata Jalili Marand
|
| Economics and Business Economics, Aarhus university | |
| 2. | Pooya Hoseinpour
|
| Department of Industrial Engineering & Management System, Amirkabir University of Technology (Tehran Polytechnic) |
Abstract
This study investigates a congested hub location problem with the aim of optimizing a service provider's profit by determining hub locations, capacities, and prices for serving commodities. The study incorporates a price-dependent demand function with a general functional form and models hub operations as M/G/1 queueing systems to address congestion effects. The problem is initially formulated as a mixed-integer nonlinear program, which is subsequently transformed into a mixed-integer second-order cone program, demonstrating solvability with standard off-the-shelf solvers. Through numerical analysis, the study evaluates the influence of different demand functional forms and service time constraints on the optimal network configuration and the service provider's profitability.
Keywords
- Location
- Queuing Systems
- Programming, Mixed-Integer
Status: accepted
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