scholarly journals Pareto-based algorithm for adaptive aggregate production and distribution planning in shrimp agroindustry supply chain

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
L. Herlina Machfud ◽  
Keyword(s):  
Supply Chain ◽  
Aggregate Production ◽  
Distribution Planning ◽  
Production And Distribution ◽  
Production And Distribution Planning

Multisite aggregate production and distribution planning: a review

2018 ◽  
Vol 9 (3/4) ◽  
pp. 407
Author(s):  
Satya Prakash ◽  
Gunjan Soni ◽  
Vipul Jain ◽  
Gaurav Kumar Badhotiya ◽  
Murari Lal Mittal
Keyword(s):  
Aggregate Production ◽  
Distribution Planning ◽  
Production And Distribution ◽  
Production And Distribution Planning

Supply and Production/Distribution Planning in Supply Chain with Genetic Algorithm

2012 ◽  
Vol 1 (1) ◽  
pp. 38-54
Author(s):  
Babak Sohrabi ◽  
MohammadReza Sadeghi Moghadam
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Minimum Cost ◽  
Industrial Firms ◽  
Distribution Planning ◽  
Supply Chain Costs ◽  
Production And Distribution ◽  
Holding Cost ◽  
Production And Distribution Planning ◽  
Effective Use

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.

Supply and Production/Distribution Planning in Supply Chain with Genetic Algorithm

2012 ◽  
pp. 1316-1333
Author(s):  
Babak Sohrabi ◽  
MohammadReza Sadeghi Moghadam
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Minimum Cost ◽  
Industrial Firms ◽  
Distribution Planning ◽  
Supply Chain Costs ◽  
Production And Distribution ◽  
Holding Cost ◽  
Production And Distribution Planning ◽  
Effective Use

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.

Multisite aggregate production and distribution planning: a review

2018 ◽  
Vol 9 (3/4) ◽  
pp. 407
Author(s):  
Satya Prakash ◽  
Gunjan Soni ◽  
Vipul Jain ◽  
Gaurav Kumar Badhotiya ◽  
Murari Lal Mittal
Keyword(s):  
Aggregate Production ◽  
Distribution Planning ◽  
Production And Distribution ◽  
Production And Distribution Planning
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