Design for resilience in infrastructure distribution networks (Record no. 162602)
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fixed length control field | 01590nam a22002537a 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
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 |
338 ## - CARRIER TYPE | |
Source | rdacarrier |
Carrier type term | volume |
Carrier type code | nc |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
Title | Environment Systems & Decisions |
Volume/sequential designation | Volume , number , |
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 |
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 |
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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 |