Determining the optimal number of Kanban in multi-products supply chain system

International Journal of Systems Science

Volumn 41, Issue 2, 2010, Pages 189-201

  Widyadana, G A ^a,b   Wee, H M ^b   Chang, Jer Yuan ^c  

^a PETRA CHRISTIAN UNIVERSITY   (Indonesia)

^b CHUNG YUAN CHRISTIAN UNIVERSITY   (Taiwan)

^c YUNG TA INSTITUTE OF TECHNOLOGY AND COMMERCE   (Taiwan)

Author keywords

Genetic algorithm; Kanban; Mix integer programming; Multi product supply chain; Simulated annealing

Indexed keywords

COMPONENT BASED; JUST-IN-TIME SYSTEMS; KEY ELEMENTS; LOT SIZE; META-HEURISTIC METHODS; MIX-INTEGER PROGRAMMING; MULTI-PRODUCT SUPPLY CHAIN; MULTI-PRODUCTS; NEAR-OPTIMAL SOLUTIONS; OPTIMAL METHODS; OPTIMAL NUMBER; OPTIMAL SOLUTIONS; PULL SYSTEMS; RUNTIMES; SUPPLY CHAIN SYSTEMS;

ANNEALING; CHAINS; CONCURRENT ENGINEERING; DYNAMIC PROGRAMMING; GENETIC ALGORITHMS; INTEGER PROGRAMMING; INVENTORY CONTROL; OPTIMAL SYSTEMS; PLASMA WAVES; PRODUCTION CONTROL; SIMULATED ANNEALING; SUPPLY CHAIN MANAGEMENT; SUPPLY CHAINS;

HEURISTIC METHODS;

EID: 77951132551     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207720903042996     Document Type: Article

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