Midlands State University Library

Design for resilience in infrastructure distribution networks (Record no. 162602)

MARC details
000 -LEADER
fixed length control field 01590nam a22002537a 4500
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control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230614151714.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230614b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Transcribing agency MSU
Description conventions rda
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name TURNQUIST, Mark
245 ## - TITLE STATEMENT
Title Design for resilience in infrastructure distribution networks
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York
Name of producer, publisher, distributor, manufacturer Springer
Date of production, publication, distribution, manufacture, or copyright notice 2013
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
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Source rdacarrier
Carrier type term volume
Carrier type code nc
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Title Environment Systems & Decisions
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520 ## - SUMMARY, ETC.
Summary, etc. The recognition that resilience is a critical aspect of infrastructure security has caused the national and homeland security communities to ask “How does one ensure infrastructure resilience?” Previous network resilience analysis methods have generally focused on either pre-disruption prevention investments or post-disruption recovery strategies. This paper expands on those methods by introducing a stochastic optimization model for designing network infrastructure resilience that simultaneously considers pre- and post-disruption activities. The model seeks investment–recovery combinations that minimize the overall cost to a distribution network across a set of disruption scenarios. A set of numerical experiments illustrates how changes to disruption scenarios probabilities affect the optimal resilient design investments.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element resilience
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element network optimisation
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element infrastructures
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name VUGRIN, Eric
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/s10669-012-9428-z
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 14/06/2023 Vol.33 , No.1 (Mar 2013)   GE170 ENV 14/06/2023 14/06/2023 Journal Article For In House Use Only