Investigating replenishment policies for centralised and decentralised supply chains using stochastic programming approach

International Journal of Production Research

Volumn 53, Issue 1, 2015, Pages 41-69

  Fattahi, M ^a   Mahootchi, M ^a   Moattar Husseini, S M ^a   Keyvanshokooh, E ^b   Alborzi, F ^c  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b Iowa State University of Science and Technology   (United States)

^c North Carolina State University   (United States)

Author keywords

centralised and decentralised supply chains; evolutionary strategies; Imperialist competitive algorithm; inventory management; simulation; stochastic programming

Indexed keywords

CHAINS; COMPUTER SIMULATION; DECISION MAKING; EVOLUTIONARY ALGORITHMS; INTEGER PROGRAMMING; INVENTORY CONTROL; MONTE CARLO METHODS; OPTIMAL SYSTEMS; OPTIMIZATION; SENSITIVITY ANALYSIS; STOCHASTIC MODELS; STOCHASTIC PROGRAMMING; STOCHASTIC SYSTEMS; SUPPLY CHAINS;

DECENTRALISED; EVOLUTIONARY STRATEGIES; IMPERIALIST COMPETITIVE ALGORITHMS; INVENTORY MANAGEMENT; SIMULATION;

MATHEMATICAL MODELS;

EID: 84911990478     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2014.922710     Document Type: Article

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