Optimizing the availability of a buffered industrial process

Martz, Jr., Harry F.; Hamada, Michael S.; Koehler, Arthur J.; Berg, Eric C.

Optimizing the availability of a buffered industrial process

Patent · 24 August 2004

OSTI ID:1174998

Martz, Jr., Harry F.; Hamada, Michael S.; Koehler, Arthur J.; Berg, Eric C.

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.

View Patent

Research Organization:: The Regents of the University Of California, Los Alamos, NM (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: W-7405-ENG-36

Assignee:: University Of California, The Regents Of

Patent Number(s):: 6,782,295

Application Number:: 09/848,817

OSTI ID:: 1174998

Country of Publication:: United States

Language:: English

References (14)

Genetics based redudancy optimization Ramachandran, V.; Sivakumar, V.; Sathiyanarayanan, K. Microelectronics Reliability, Vol. 37, Issue 4 https://doi.org/10.1016/S0026-2714(96)00096-0	journal	April 1997
Application of discrete event simulation in production scheduling Vaidyanathan, B. S.; Miller, D. M.; Park, Y. H. IEEE Winter Simulation Conference, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274) https://doi.org/10.1109/WSC.1998.745800	conference	January 1998
Considering risk profiles in design optimization for series-parallel systems Coit, D. W.; Smith, A. E. Annual Reliability and Maintainability Symposium https://doi.org/10.1109/RAMS.1997.571719	conference	January 1997
Joint redundancy and maintenance optimization for multistate series–parallel systems Levitin, Gregory; Lisnianski, Anatoly Reliability Engineering & System Safety, Vol. 64, Issue 1 https://doi.org/10.1016/S0951-8320(98)00052-0	journal	April 1999
Optimal design of system reliability using interval programming and genetic algorithms Gen, Mitsuo; Cheng, Runwei Computers & Industrial Engineering, Vol. 31, Issue 1-2 https://doi.org/10.1016/0360-8352(96)00120-9	journal	October 1996
Optimal multistage modernization of power system subject to reliability and capacity requirements Levitin, Gregory; Lisnianski, Anatoly Electric Power Systems Research, Vol. 50, Issue 3 https://doi.org/10.1016/S0378-7796(98)00130-8	journal	June 1999
Successful modeling of a semiconductor R&D facility Tullis, B.; Mehrotra, V.; Zuanich, D. IEEE/SEMI International Symposium on Semiconductor Manufacturing Science https://doi.org/10.1109/ISMSS.1990.66131	conference	January 1990
Reliability optimization of series-parallel systems using a genetic algorithm Coit, D. W.; Smith, A. E. IEEE Transactions on Reliability, Vol. 45, Issue 2 https://doi.org/10.1109/24.510811	journal	June 1996
Application of genetic algorithm for reliability allocation in nuclear power plants Yang, Joon-Eon; Hwang, Mee-Jung; Sung, Tae-Yong Reliability Engineering & System Safety, Vol. 65, Issue 3 https://doi.org/10.1016/S0951-8320(98)00103-3	journal	September 1999
Simulation of a semiconductor manufacturing line Miller, David J. Communications of the ACM, Vol. 33, Issue 10 https://doi.org/10.1145/84537.84556	journal	October 1990
Genetic algorithms in optimization of system reliability Painton, L.; Campbell, J. IEEE Transactions on Reliability, Vol. 44, Issue 2 https://doi.org/10.1109/24.387368	journal	June 1995
Structure optimization of power system with bridge topology Levitin, Gregory; Lisnianski, Anatoly Electric Power Systems Research, Vol. 45, Issue 3 https://doi.org/10.1016/S0378-7796(98)00019-4	journal	June 1998
Genetic-algorithm-based reliability optimization for computer network expansion Kumar, A.; Pathak, R. M.; Gupta, Y. P. IEEE Transactions on Reliability, Vol. 44, Issue 1 https://doi.org/10.1109/24.376523	journal	March 1995
GA-based reliability design: State-of-the-art survey Gen, Mitsuo; Kim, Jong Ryul Computers & Industrial Engineering, Vol. 37, Issue 1-2, p. 151-155 https://doi.org/10.1016/S0360-8352(99)00043-1	journal	October 1999

Similar Records

Opportunities and Challenges for Nuclear-Renewable Hybrid Energy Systems

Conference · 2019 · OSTI ID:1511138

Opportunities and Challenges for Nuclear-Renewable Hybrid Energy Systems

Conference · 2019 · OSTI ID:1505927

Automatic genetic optimization approach to two-dimensional blade profile design for steam turbines

Journal Article · 1998 · Journal of Turbomachinery · OSTI ID:330485

Related Subjects

97 MATHEMATICS AND COMPUTING

Optimizing the availability of a buffered industrial process

Citation Formats

References (14)

Similar Records

Related Subjects