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The Theory and Practice of Revenue Management
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TLDR
In this article, the authors present the economics of RM, including single-resource capacity control, network capacity control and overbooking, as well as dynamic pricing and auctioning.Abstract:
Quantity-Based RM.- Single-Resource Capacity Control.- Network Capacity Control.- Overbooking.- Price-based RM.- Dynamic Pricing.- Auctions.- Common Elements.- Customer-Behavior and Market-Response Models.- The Economics of RM.- Estimation and Forecasting.- Industry Profiles.- Implementation.read more
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Perspectives in supply chain risk management
TL;DR: In this paper, the authors present a review of various quantitative models for managing supply chain risks and relate various supply chain risk management strategies examined in the research literature with actual practices, highlighting the gap between theory and practice, and motivate researchers to develop new models for mitigating supply chain disruptions.
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Fast Model Predictive Control Using Online Optimization
Yang Wang,Stephen Boyd +1 more
TL;DR: A collection of methods for improving the speed of MPC, using online optimization, which can compute the control action on the order of 100 times faster than a method that uses a generic optimizer.
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Robust strategies for mitigating supply chain disruptions
TL;DR: In this article, the authors present cost-effective and time-efficient strategies that enable a supply chain to manage the inherent fluctuations efficiently regardless of the occurrence of major disruptions, and these strategies will make the supply chain become more resilient in the face of major disruption.
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Appointment scheduling in health care: Challenges and opportunities
Diwakar Gupta,Brian T. Denton +1 more
TL;DR: A road map of the state of the art in the design of appointment management systems is provided and future opportunities for novel applications of IE/OR models are identified.
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$\ell_1$ Trend Filtering
TL;DR: This paper proposes a variation on Hodrick-Prescott (H-P) filtering, a widely used method for trend estimation that substitutes a sum of absolute values for the sum of squares used in H-P filtering to penalize variations in the estimated trend.