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Title: Optimizing the availability of a buffered industrial process

Abstract

A computer-implemented process determines optimum configuration parameters for a buffered industrial process. A population size is initialized by randomly selecting a first set of design and operation values associated with subsystems and buffers of the buffered industrial process to form a set of operating parameters for each member of the population. An availability discrete event simulation (ADES) is performed on each member of the population to determine the product-based availability of each member. A new population is formed having members with a second set of design and operation values related to the first set of design and operation values through a genetic algorithm and the product-based availability determined by the ADES. Subsequent population members are then determined by iterating the genetic algorithm with product-based availability determined by ADES to form improved design and operation values from which the configuration parameters are selected for the buffered industrial process.

Inventors:
; ; ;
Issue Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1174998
Patent Number(s):
6782295
Application Number:
09/848,817
Assignee:
University Of California, The Regents Of
Patent Classifications (CPCs):
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02P - CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
DOE Contract Number:  
W-7405-ENG-36
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Martz, Jr., Harry F., Hamada, Michael S., Koehler, Arthur J., and Berg, Eric C.. Optimizing the availability of a buffered industrial process. United States: N. p., 2004. Web.
Martz, Jr., Harry F., Hamada, Michael S., Koehler, Arthur J., & Berg, Eric C.. Optimizing the availability of a buffered industrial process. United States.
Martz, Jr., Harry F., Hamada, Michael S., Koehler, Arthur J., and Berg, Eric C.. Tue . "Optimizing the availability of a buffered industrial process". United States. https://www.osti.gov/servlets/purl/1174998.
@article{osti_1174998,
title = {Optimizing the availability of a buffered industrial process},
author = {Martz, Jr., Harry F. and Hamada, Michael S. and Koehler, Arthur J. and Berg, Eric C.},
abstractNote = {A computer-implemented process determines optimum configuration parameters for a buffered industrial process. A population size is initialized by randomly selecting a first set of design and operation values associated with subsystems and buffers of the buffered industrial process to form a set of operating parameters for each member of the population. An availability discrete event simulation (ADES) is performed on each member of the population to determine the product-based availability of each member. A new population is formed having members with a second set of design and operation values related to the first set of design and operation values through a genetic algorithm and the product-based availability determined by the ADES. Subsequent population members are then determined by iterating the genetic algorithm with product-based availability determined by ADES to form improved design and operation values from which the configuration parameters are selected for the buffered industrial process.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2004},
month = {8}
}

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