Noah Gans

University of Pennsylvania - Operations & Information Management Department

Philadelphia, PA 19104

United States

SCHOLARLY PAPERS

4

DOWNLOADS

1,016

SSRN CITATIONS

0

CROSSREF CITATIONS

5

Scholarly Papers (4)

1.

Overbooking with Endogenous Demand

The Wharton School Research Paper
Number of pages: 54 Posted: 31 Jan 2019
Rowena Gan, Noah Gans and Gerry Tsoukalas
Southern Methodist University (SMU) - Information Technology and Operations Management Department (ITOM), University of Pennsylvania - Operations & Information Management Department and University of Pennsylvania - The Wharton School
Downloads 466 (75,142)

Abstract:

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airline revenue management, overbooking, strategic customers, auctions

2.

Bayesian Sequential Learning for Clinical Trials of Multiple Correlated Medical Interventions

INSEAD Working Paper No. 2020/40/TOM/ACGRE
Number of pages: 57 Posted: 25 May 2018 Last Revised: 02 Sep 2020
Stephen E. Chick, Noah Gans and Ozge Yapar
INSEAD - Technology and Operations Management, University of Pennsylvania - Operations & Information Management Department and Indiana University Bloomington - Kelley School of Business
Downloads 439 (80,674)
Citation 4

Abstract:

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Bayesian, Clinical Trials, Health Economics, Sequential Experimentation, Ranking and Selection, Simulation Optimization, Dynamic Programming

3.

Estimating the Operational Impact of Container Inspections at International Ports

Management Science, Forthcoming
Number of pages: 37 Posted: 25 Aug 2010
University of Utah, Council on Foreign Relations (CFR) and University of Pennsylvania - Operations & Information Management Department
Downloads 111 (297,139)

Abstract:

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container inspection, supply chain security, homeland security, simulation

4.

Managing Learning and Turnover in Employee Staffing

Operations Research, Vol. 50, No. 6, December 2002
Posted: 19 Nov 2006
Noah Gans and Yong-Pin Zhou
University of Pennsylvania - Operations & Information Management Department and University of Washington Business School

Abstract:

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Dynamic programming, optimal control, hierarchical model for manpower planning, organizational studies, manpower planning