Modeling methods for managing raw material compositional uncertainty in alloy production

Resources, Conservation and Recycling

Volumn 52, Issue 2, 2007, Pages 180-207

  Gaustad, Gabrielle ^a   Li, Preston ^a   Kirchain, Randolph ^a,b  

^a Massachusetts Institute of Technology Cambridge   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Aluminum remelting; Batch optimization; Chance constrained optimization; Stochastic programming; Uncertainty

Indexed keywords

ALLOYS; ALUMINUM; OPTIMIZATION; REMELTING; STATISTICAL METHODS; STOCHASTIC PROGRAMMING; UNCERTAINTY ANALYSIS;

COMPOSITIONAL UNCERTAINTY; RECYCLED MATERIAL; SECONDARY MATERIALS;

RAW MATERIALS;

ALLOY; ALUMINUM; COPPER; IRON; MAGNESIUM; MANGANESE; SILICON; ZINC;

ALLOYS; ALUMINUM; OPTIMIZATION; RAW MATERIALS; REMELTING; STATISTICAL METHODS; STOCHASTIC PROGRAMMING; UNCERTAINTY ANALYSIS;

ALLOY; METALS INDUSTRY; MODELING; OPTIMIZATION; RECYCLING; SOLID WASTE; STOCHASTICITY; WASTE MANAGEMENT;

ARTICLE; BATCH PROCESS; MATHEMATICAL MODEL; MELTING POINT; MONTE CARLO METHOD; RECYCLING; STATISTICAL ANALYSIS; STOCHASTIC MODEL;

EID: 34548826537     PISSN: 09213449     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.resconrec.2007.03.005     Document Type: Article

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