International Journal of Management and Applied Science (IJMAS)
current issues
Volume-4,Issue-9  ( Sep, 2018 )
Past issues
  1. Volume-4,Issue-9  ( Sep, 2018 )
  2. Volume-4,Issue-8  ( Aug, 2018 )
  3. Volume-4,Issue-7  ( Jul, 2018 )
  4. Volume-4,Issue-6  ( Jun, 2018 )
  5. Volume-4,Issue-5  ( May, 2018 )
  6. Volume-4,Issue-4  ( Apr, 2018 )
  7. Volume-4,Issue-3  ( Mar, 2018 )
  8. Volume-4,Issue-2  ( Feb, 2018 )
  9. Volume-4,Issue-1  ( Jan, 2018 )
  10. Volume-3,Issue-12  ( Dec, 2017 )

Statistics report
Dec. 2018
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 55
Paper Published : 3411
No. of Authors : 7033
  Journal Paper




Paper Title :
A Multi-Period Planning Model for Uncertain Supply Chain Network Configuration

Author :B. H. Tabrizi, S. F.Ghaderi

Article Citation :B. H. Tabrizi ,S. F.Ghaderi , (2018 ) " A Multi-Period Planning Model for Uncertain Supply Chain Network Configuration " , International Journal of Management and Applied Science (IJMAS) , pp. 81-86, Volume-4,Issue-8

Abstract : Designing efficient supply chain networks is a crucial affair in achievement of the involving members’ goals. The issue can be investigated from different aspects as the network configuration can influence the short and long-term decisions. A multi-period network is developed in this paper that can be amended with respect to required changes in each given planning horizon. Because of long-term considerations nature and the existence of imperfect knowledge about key parameters, fuzzy possibilistic approach is applied to represent the potential uncertainties. Afterwards, Imperialist Competitive Algorithm (ICA) is addressed as a capable solution methodology. The performance of the ICA is compared with Genetic Algorithm (GA) and its validity and applicability is tested by different numerical examples. Keywords - Supply chain network design, Possibilistic programming, ICA, GA.

Type : Research paper

Indexed : Google Scholar


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