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 Laboratory (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
G - PHYSICS G06 - COMPUTING G06Q - DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
- 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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