Time-Variant Adaptive Robust Optimization for Hurricane Preparedness

Jomon A. Paul; Xinfang Wang

Time-Variant Adaptive Robust Optimization for Hurricane Preparedness

Jomon A. Paul, Xinfang Wang

Logistics & Supply Chain Management

Kennesaw State University

Research output: Contribution to conference › Presentation

Abstract

We propose an adaptive robust model for determining the stockpile location and capacities and impacts of these decisions on social costs (logistic, deprivation and fatality), given time-variant hurricane characteristics. Uncertainty set size is adjusted according to storm advisory released every six hours, making the model adaptive to time-variant uncertainty realization.

Original language	American English
State	Published - Nov 16 2016
Event	INFORMS Annual Conference - Duration: Nov 16 2016 → …

Conference

Conference	INFORMS Annual Conference
Period	11/16/16 → …

Disciplines

Business Administration, Management, and Operations
Operations and Supply Chain Management

Keywords

Adaptive
Hurricane
Preparedness
Robust optimization

Access to Document

https://www.abstractsonline.com/pp8/#!/4182/presentation/5948

Cite this

@conference{4ca883a467a044f5846826b6dfb4d20f,

title = "Time-Variant Adaptive Robust Optimization for Hurricane Preparedness",

abstract = " We propose an adaptive robust model for determining the stockpile location and capacities and impacts of these decisions on social costs (logistic, deprivation and fatality), given time-variant hurricane characteristics. Uncertainty set size is adjusted according to storm advisory released every six hours, making the model adaptive to time-variant uncertainty realization.",

keywords = "Adaptive, Hurricane, Preparedness, Robust optimization",

author = "Paul, {Jomon A.} and Xinfang Wang",

year = "2016",

month = nov,

day = "16",

language = "American English",

note = "INFORMS Annual Conference ; Conference date: 16-11-2016",

}

TY - CONF

T1 - Time-Variant Adaptive Robust Optimization for Hurricane Preparedness

AU - Paul, Jomon A.

AU - Wang, Xinfang

PY - 2016/11/16

Y1 - 2016/11/16

N2 - We propose an adaptive robust model for determining the stockpile location and capacities and impacts of these decisions on social costs (logistic, deprivation and fatality), given time-variant hurricane characteristics. Uncertainty set size is adjusted according to storm advisory released every six hours, making the model adaptive to time-variant uncertainty realization.

AB - We propose an adaptive robust model for determining the stockpile location and capacities and impacts of these decisions on social costs (logistic, deprivation and fatality), given time-variant hurricane characteristics. Uncertainty set size is adjusted according to storm advisory released every six hours, making the model adaptive to time-variant uncertainty realization.

KW - Adaptive

KW - Hurricane

KW - Preparedness

KW - Robust optimization

UR - https://digitalcommons.georgiasouthern.edu/logistics-supply-facpres/179

UR - https://www.abstractsonline.com/pp8/#!/4182/presentation/5948

M3 - Presentation

T2 - INFORMS Annual Conference

Y2 - 16 November 2016

ER -

Time-Variant Adaptive Robust Optimization for Hurricane Preparedness

Abstract

Conference

Disciplines

Keywords

Access to Document

Other files and links

Fingerprint

Cite this