Simulation–optimization approach for the multi-objective production and distribution planning problem in the supply chain: using NSGA-II and Monte Carlo simulation-Reference-Cited by-同舟云学术

Simulation–optimization approach for the multi-objective production and distribution planning problem in the supply chain: using NSGA-II and Monte Carlo simulation

Published:2022-05-12 Issue:17 Volume:26 Page:8661-8687
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Kabiri Niloofar Nadim,Emami Saeed^ORCID,Safaei Abdul Sattar

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-022-07152-2.pdf

Reference53 articles.

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3. Brandimarte P (2014) Handbook in Monte Carlo simulation: applications in financial engineering, risk management, and economics. Wiley

4. Casas-Ramírez MS, Camacho-Vallejo JF, González-Ramírez RG, Marmolejo-Saucedo JA, Velarde-Cantú JM (2018) Optimizing a biobjective production-distribution planning problem using a GRASP. Complexity. https://doi.org/10.1155/2018/3418580

5. Chen M, Wang W (1997) A linear programming model for integrated steel production and distribution planning. Int J Oper Prod Manag 17(6):592–610

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