MSc. Elham Behmanesh

Kontaktdaten

MSc. Elham Behmanesh

MSc. Elham Behmanesh
IGS Stipendiatin des DAAD
Raum 1110
BIBA, Hochschulring 20, 28359 Bremen
Mail: beh@biba.uni-bremen.de
Tel.: +49 (0) 421 218-50099
Fax: +49 (0) 421 218-9850099

Lebenslauf

Elham Behmanesh hat zwischen 2006 und 2010 sowie 2011 und 2013 Reine und Angewandte Mathematik an der Universität Mazandaran, Iran studiert. In ihrer Masterarbeit "Application of Multi-Objective Programming in Fuzzy Transportation Models" beschäftigte sie sich mit der multikriteriellen Optimierung und deren Anwendung auf Supply Chains und Transport Modelle mit deterministischen und fuzzy Koeffizienten. 2014 erhielt sie ein Promotionsstipendium des Deutschen Akademischen Austausch Dienstes (DAAD) und arbeitet seit November 2014 als Promotionsstudentin in der Arbeitsgruppe Dynamics in Logistics an der Universität Bremen.

Projekte

A Flexible Integrated Forward/Reverse Logistics Model with Random Path

A Flexible Integrated Forward/Reverse Logistics Model with Random Path

 
Projektstart: 2014, Projektende: 2018
 
Geldgeber: DAAD

Publikationen

2018

  • E. Behmanesh and J. Pannek (2018). The effect of various parameters of solution methodology on a flexible integrated supply chain model. Mathematical Problems in Engineering. 2018 (ID 5935268), 1-14. [doi] [BibTex]

  • E. Behmanesh and J. Pannek (2018). Ranking Parameters of a Memetic Algorithm for a Flexible Integrated Logistics Network. Proceedings of the 6th International conference on Dynamic in Logistics. 76-85. [BibTex]

  • E. Behmanesh and J. Pannek (2018). Assessment of Memetic and Genetic Algorithm for a Flexible Integrated Logistics Network. Proceedings of the 20th International Conference on Engineering Optimization and Industrial Applications. accepted. [BibTex]

  • E. Behmanesh and J. Pannek (2018). Taguchi analysis for improving optimization of integrated forward/reverse logistics. submitted. [BibTex]

  • E. Behmanesh and J. Pannek (2018). Memetic and Genetic Algorithm for an Integrated Logistics Network with Flexible Delivery Path. submitted. [BibTex]

2016

  • E. Behmanesh and J. Pannek (2016). Modeling and random path-based direct encoding for a closed loop supply chain model with flexible delivery paths. Proceedings of the 7th IFAC Conference on Management and Control of Production and Logistics (MCPL). 78-83. [BibTex]

  • E. Behmanesh and J. Pannek (2016). Impact of Solution Methodology Parameters on a Flexible Integrated Supply Chain Model. Proceedings of the 28th European Conference on Operational Research. PaperID1557. [BibTex]

  • E. Behmanesh and J. Pannek (2016). A memetic algorithm with extended random path encoding for a closed-loop supply chain model with flexible delivery. Logistics Research. 9 (22), 1-12. [doi] [BibTex]

2013

  • S. H. Nasseri and M. M. Zadeh and M. Kardoost and E. Behmanesh (2013). Ranking fuzzy quantities based on the angle of the reference functions. Applied Mathematical Modelling. 37 (22), 9230-9241. [BibTex]

  • S. H. Nasseri and E. Behmanesh (2013). Linear Programming with Triangular Fuzzy Numbers. Fuzzy Information and Engineering. 3 295- 315. [BibTex]

  • E. Behmanesh and S. H. Nasseri (2013). An interactive method based on defuzzification for solving a multi objective transportation problem. Journal of Operational Research and Its Applications. 3 (38), 25-39. [BibTex]

  • E. Yadegari and E. Behmanesh and A. Alem-Tabriz and F. Farzad. (2013). Considering Hybrid Facilities in a Logistics Network Design Model. Journal of Operational Research and Its Applications. 3 (38), 41-50. [BibTex]

  • E. Behmanesh (2013). A method based on ranking functions for solving a fuzzy multi-objective non-linear programming problem. Proceeding of the 6th International Conference of Iranian Operations Research Society. [BibTex]

2012

  • S.H. Nasseri and E. Behmanesh (2012). Modeling of a fuzzy linear programming. Proceeding of the 5th International Conference of Iranian Operations Research Society. [BibTex]

  • E. Behmanesh (2012). Modeling for a Fuzzy Multi-Objective Linear Programming Problem”. Proceeding of the 12th Iranian Conference on Fuzzy Systems,. [BibTex]