scholarly journals Parallel computation for production and distribution planning

Author(s):  
A F Suahati ◽  
K J Wang ◽  
A A Nurrahman
2018 ◽  
Vol 9 (3/4) ◽  
pp. 407
Author(s):  
Satya Prakash ◽  
Gunjan Soni ◽  
Vipul Jain ◽  
Gaurav Kumar Badhotiya ◽  
Murari Lal Mittal

2012 ◽  
Vol 1 (1) ◽  
pp. 38-54
Author(s):  
Babak Sohrabi ◽  
MohammadReza Sadeghi Moghadam

The present study, using genetic algorithm, tries to improve material flow management in supply chain. Consequently, in this paper, an integrated supply-production and distribution planning (SPDP) is considered despite the fact that in most of the Iranian industrial firms, SPDP is done independently. The effective use of integrated SPDP not only enhances the performance rather decreases inventory cost, holding cost, shortage cost and overall supply chain costs. A quantitative mathematical model is used to the problem articulation, and then it is solved by applying heuristic genetic algorithm (GA) method. The proposed model with genetic algorithm could provide the best satisfactory result with the minimum cost. The reliability test was carried by comparing the model results with that of the amount of variables.


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