Application of particle swarm intelligence algorithms in supply chain network architecture optimization

2012 ◽  
Vol 39 (11) ◽  
pp. 10160-10176 ◽  
Author(s):  
Rajeshwar S. Kadadevaramath ◽  
Jason C.H. Chen ◽  
B. Latha Shankar ◽  
K. Rameshkumar
2007 ◽  
Vol 8 (2-4) ◽  
pp. 199-212
Author(s):  
R. Kadadevaramath, ◽  
K.M. Mohanasundaram, ◽  
K. Rameshkumar, ◽  
B. Chandrashekhar,

Technology has shrunk the global markets and information is accessible very quickly and effortlessly. Business organizations world over concentrate on their production systems to improve the quality of the end product, well distribute the product and optimize cost of resources. Transportation cost, inventory carrying cost and shortage costs constitute the major costs in cost of distribution. A competent supply chain always strives to manufacture the right quantity of end products and hold a minimum inventory across the entire supply chain. In thecurrent paper, a five echelon supply chain model is developed and it is optimized using particle swarm intelligence algorithm.


Author(s):  
Fabio Renan ◽  
Larissa Melo ◽  
Lucas Ricken ◽  
Alysson Jose dos Santos ◽  
Taufik Abrao

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