Single-Resource Capacity Control

2004 ◽  
pp. 27-80 ◽  
Author(s):  
Kalyan T. Talluri ◽  
Garrett J. Van Ryzin
Keyword(s):  
Capacity Control ◽  
Resource Capacity

Method to detect signals of eddy current flaw detection with small computer resource capacity

2020 ◽  
Vol 2020 (2) ◽  
pp. 22-25
Author(s):  
M.O. Redka ◽  
◽  
Yu.V. Kuts ◽  
O.E. Levchenko ◽  
O.D. Bliznyuk ◽  
...  
Keyword(s):  
Eddy Current ◽  
Flaw Detection ◽  
Small Computer ◽  
Computer Resource ◽  
Resource Capacity

A Permit Trading Scheme for Capping Issues in Energy Transition: Case Study of Coal Capacity Control in China

2018 ◽  
Author(s):  
Xunpeng Shi ◽  
Ke Wang ◽  
Yifan Shen ◽  
Yu Sheng ◽  
Yanfang Zhang
Keyword(s):  
Energy Transition ◽  
Capacity Control ◽  
Permit Trading ◽  
Trading Scheme

An Approximation Algorithm for Network Revenue Management Under Nonstationary Arrivals

2020 ◽  
Vol 68 (3) ◽  
pp. 834-855 ◽  
Author(s):  
Yuhang Ma ◽  
Paat Rusmevichientong ◽  
Mika Sumida ◽  
Huseyin Topaloglu
Keyword(s):  
Approximation Algorithm ◽  
Revenue Management ◽  
Capacity Control ◽  
Network Revenue Management ◽  
Pricing Decisions ◽  
Multiple Products ◽  
Performance Guarantees ◽  
Optimal Capacity ◽  
Airline Tickets ◽  
Network Revenue

Many revenue management problems require making capacity control and pricing decisions for multiple products. The decisions for the different products interact because either the products use a common pool of resources or the customers choose and substitute among the products. When pricing airline tickets, for example, different itinerary products use the capacities on common flight legs and the customers choose and substitute among different itinerary products that serve the same origin-destination pair. Finding the optimal capacity control and pricing decisions in such problems can be challenging because one needs to simultaneously consider the capacities available to serve a large pool of products. In “An Approximation Algorithm for Network Revenue Management under Nonstationary Arrivals,” Ma, Rusmevichientong, Sumida, and Topaloglu develop efficient methods to make decisions with performance guarantees in high-dimensional capacity control and pricing problems.

Sign in / Sign up

Export Citation Format

Share Document