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Title: A framework for hierarchical, object-oriented simulation modeling of a steel manufacturing enterprise

Abstract

This is the final report of a two-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). The objective of the project is to combine detailed physical models of industrial processes with unit operations and business-level models. This would allow global and individual process control schemes to be implemented that would facilitate improved overall system performance. Intelligent decision support that employs expert system concepts (knowledge base and rules) could then also be incorporated. This project is innovative because it attempts to incorporate all levels of production-related activities from atoms to enterprise, and to integrate those activities into one comprehensive decision support tool. This project is an interdisciplinary effort requiring enterprise modeling and simulation model integration; process modeling and control; process control and optimization; chemical process modeling; and detailed molecular-level models. It represents the state of the art in enterprise modeling and simulation and incorporates cutting edge process modeling, process control, and system optimization techniques.

Authors:
; ;  [1]
  1. and others
Publication Date:
Research Org.:
Los Alamos National Lab., NM (United States)
Sponsoring Org.:
USDOE Assistant Secretary for Human Resources and Administration, Washington, DC (United States)
OSTI Identifier:
534515
Report Number(s):
LA-UR-97-3384
ON: DE98000144; TRN: 97:005397
DOE Contract Number:  
W-7405-ENG-36
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: [1997]
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; METAL INDUSTRY; PROCESS CONTROL; MANUFACTURING; PRODUCTION; SIMULATION; EXPERT SYSTEMS

Citation Formats

Henriksen, A.D., Joyce, E.L., and Lally, B.R. A framework for hierarchical, object-oriented simulation modeling of a steel manufacturing enterprise. United States: N. p., 1997. Web. doi:10.2172/534515.
Henriksen, A.D., Joyce, E.L., & Lally, B.R. A framework for hierarchical, object-oriented simulation modeling of a steel manufacturing enterprise. United States. doi:10.2172/534515.
Henriksen, A.D., Joyce, E.L., and Lally, B.R. Wed . "A framework for hierarchical, object-oriented simulation modeling of a steel manufacturing enterprise". United States. doi:10.2172/534515. https://www.osti.gov/servlets/purl/534515.
@article{osti_534515,
title = {A framework for hierarchical, object-oriented simulation modeling of a steel manufacturing enterprise},
author = {Henriksen, A.D. and Joyce, E.L. and Lally, B.R.},
abstractNote = {This is the final report of a two-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). The objective of the project is to combine detailed physical models of industrial processes with unit operations and business-level models. This would allow global and individual process control schemes to be implemented that would facilitate improved overall system performance. Intelligent decision support that employs expert system concepts (knowledge base and rules) could then also be incorporated. This project is innovative because it attempts to incorporate all levels of production-related activities from atoms to enterprise, and to integrate those activities into one comprehensive decision support tool. This project is an interdisciplinary effort requiring enterprise modeling and simulation model integration; process modeling and control; process control and optimization; chemical process modeling; and detailed molecular-level models. It represents the state of the art in enterprise modeling and simulation and incorporates cutting edge process modeling, process control, and system optimization techniques.},
doi = {10.2172/534515},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Oct 01 00:00:00 EDT 1997},
month = {Wed Oct 01 00:00:00 EDT 1997}
}

Technical Report:

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