Machine Intelligence Research Labs (MIR Labs) - Global Network for Innovation and Research Excellence

Fariba Goodarzian

Ph. D. in Industrial Engineering,

Regular Member

Personal Web Site: https://www.researchgate.net/profile/Fariba_Goodarzian

Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1869

Short Biography

Fariba Goodarzian was born in Mazandaran Province, Iran on 1991. She is a university lecturer, researcher, and Research Assistant.

She received her Ph.D. degree in Industrial Engineering at Yazd University, Iran in June 2020 with a GPA of 19.26 out of 20.00 with the first class honor. I have completed my M. Sc. in Industrial Engineering from the University of Science and Technology of Mazandaran (USTM), Iran in June 2016, with a GPA of 17.10 out of 20.00 with the first class honor. I have also completed my B. Sc. in Industrial Engineering from Mazandaran University of Science and Technology, Iran in 2014, with a GPA of 15.01 out of 20.00 (securing 3rd class honors with a position 2nd among 120 students).

Her research interests include OR, Optimization, Supply chain management, Home Health Care Management, Uncertainty, Sustainability, Green Supply Chain, Big Data, Pharmaceutical supply chain, Blockchain technology, and meta-heuristic&heuristic algorithms.

List of top 5 publications in the last 5 years

https://scholar.google.com/citations?user=6jWMoQcAAAAJ&hl=en

Goodarzian, F., Hosseini-Nasab, H., Muñuzuri, J., & Fakhrzad, M. B. (2020). A multi-objective pharmaceutical supply chain network based on a robust fuzzy model: A comparison of meta-heuristics. Applied Soft Computing, 106331.

Fathollahi-Fard, A. M., Ahmadi, A., Goodarzian, F., & Cheikhrouhou, N. (2020). A bi-objective home healthcare routing and scheduling problem considering patients’ satisfaction in a fuzzy environment. Applied soft computing, 106385.

Goodarzian, F., & Hosseini-Nasab, H. (2019). Applying a fuzzy multi-objective model for a production–distribution network design problem by using a novel self-adoptive evolutionary algorithm. International Journal of Systems Science: Operations & Logistics, 1-22.

Fakhrzad, M. B., & Goodarzian, F. (2019). A fuzzy multi-objective programming approach to develop a green closed-loop supply chain network design problem under uncertainty: modifications of imperialist competitive algorithm. RAIRO-Operations Research, 53(3), 963-990.

Goodarzian, F., Hosseini Nasab, H., & Fakhrzad, M. B. (2020). A Multi-Objective Sustainable Medicine Supply Chain Network Design using a novel hybrid multi-objective metaheuristic algorithm. International Journal of Engineering.

Sahebjamnia, N., Goodarzian, F., & Hajiaghaei-Keshteli, M. (2020). Optimization of Multi-period Three-echelon Citrus Supply Chain Problem. Journal of Optimization in Industrial Engineering, 13(1), 39-53.

List of top 5 academic activities during the last 5 years