A hybrid method of Pareto, TOPSIS and genetic algorithm to optimize multi-product multi-constraint inventory control systems with random fuzzy replenishments

Mathematical and Computer Modelling

Volumn 49, Issue 5-6, 2009, Pages 1044-1057

  Taleizadeh, Ata Allah ^a   Niaki, Seyed Taghi Akhavan ^b   Aryanezhad, Mir Bahador ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Fuzzy random replenishment; Genetic algorithm; Integer nonlinear programming; Inventory control; Pareto; Replenishment; TOPSIS

Indexed keywords

ALGORITHMS; CONSTRAINED OPTIMIZATION; CONTROL THEORY; DYNAMIC PROGRAMMING; GENETIC ALGORITHMS; GENETIC ENGINEERING; HYBRID SENSORS; HYBRID SYSTEMS; INTEGER PROGRAMMING; INVENTORY CONTROL; NONLINEAR PROGRAMMING; PARETO PRINCIPLE; RANDOM VARIABLES;

FUZZY RANDOM REPLENISHMENT; GENETIC ALGORITHM; INTEGER-NONLINEAR PROGRAMMING; PARETO; REPLENISHMENT; TOPSIS;

CONTROL SYSTEMS;

EID: 59149085452     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2008.10.013     Document Type: Article

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