Distribution network design under demand uncertainty using genetic algorithm and Monte Carlo simulation approach: a case study in pharmaceutical industry

Izadi, Arman; Kimiagari, Ali mohammad

Journal of Industrial Engineering International

Issue 1 Vol. 10 Winter 2014

Submit Your Paper
Review for this publication

PDF XML

Downloads : 27

Export Article
- BibTex
- EndNote
- RIS
- ISI
- APA
- MLA
- HARVARD
- VANCOUVER
- Mendeley
- HTML
Related Links
- Google Scholar
More by Authors Link
- DOAJ
  - Arman Izadi
  - Ali mohammad Kimiagari
- Google Scholar
  - Arman Izadi
  - Ali mohammad Kimiagari
- PubMed
  - Arman Izadi
  - Ali mohammad Kimiagari

Share To

Article Url

Manuscript ID : 676503 Visit : 81 Page: 0 - 0

Article Type: Original Research

Distribution network design under demand uncertainty using genetic algorithm and Monte Carlo simulation approach: a case study in pharmaceutical industry

Subject Areas : Mathematical Optimization

Arman Izadi ¹ (Department of industrial engineering, Amirkabir university of technology, Hafez street, NO 424, 15875-4413, Tehran, Iran)
Ali mohammad Kimiagari ² (Department of industrial engineering, Amirkabir university of technology, Hafez street, NO 424, 15875-4413, Tehran, Iran)

Received: 2020-10-02 Accepted : 2020-10-02 Published : 2014-04-01

Keywords:

Abstract :

References:

Share To

Article Url

Distribution network design under demand uncertainty using genetic algorithm and Monte Carlo simulation approach: a case study in pharmaceutical industry

Sanad

Links

Related Centers

Technical Support

Official pages