Application of stochastic approach based on Monte Carlo (MC) simulation for life cycle inventory (LCI) to the steel process chain: Case study

Science of the Total Environment

Volumn 481, Issue 1, 2014, Pages 649-655

  Bieda, Bogusław ^a  

^a AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Poland)

Author keywords

Crystal Ball ; Life cycle assessment (LCA); Life cycle inventory (LCI); Monte Carlo simulation; Poland; Stochastic approach

Indexed keywords

COMPUTER SIMULATION; HOT ROLLING MILLS; INDUSTRIAL MANAGEMENT; LIFE CYCLE; NORMAL DISTRIBUTION; SINTERING; STEELMAKING; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

CRYSTAL BALLS; LIFE CYCLE ASSESSMENT (LCA); LIFE CYCLE INVENTORIES; POLAND; STOCHASTIC APPROACH;

MONTE CARLO METHODS;

IRON; STEEL;

COMPUTER SIMULATION; ENVIRONMENTAL ASSESSMENT; IRON AND STEEL INDUSTRY; LIFE CYCLE ANALYSIS; MONTE CARLO ANALYSIS; PRODUCT DEVELOPMENT; SOFTWARE; STOCHASTICITY;

ALGORITHM; ARTICLE; CASE STUDY; DECISION SUPPORT SYSTEM; FURNACE; IRON AND STEEL INDUSTRY; LIFE CYCLE ASSESSMENT; LIFE CYCLE INVENTORY; MONTE CARLO METHOD; NAMED INVENTORIES, QUESTIONNAIRES AND RATING SCALES; NORMAL DISTRIBUTION; POLAND; PRIORITY JOURNAL; PROBABILITY; STOCHASTIC MODEL; UNCERTAINTY;

CRACOW; MALOPOLSKIE; POLAND;

SUIDAE;

CRYSTAL BALL®; LIFE CYCLE ASSESSMENT (LCA); LIFE CYCLE INVENTORY (LCI); MONTE CARLO SIMULATION; POLAND; STOCHASTIC APPROACH;

CONSERVATION OF NATURAL RESOURCES; DECISION MAKING; ENVIRONMENTAL MONITORING; METALLURGY; MODELS, STATISTICAL; MONTE CARLO METHOD; POLAND; SOFTWARE; STEEL; UNCERTAINTY;

EID: 84897960070     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2013.10.123     Document Type: Article

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