Erfan Nejati

202020212022202320242 5 7 25 13

Seyed Ahmad TorabzadehPh.D. student, Department of Industrial and Systems Engineering, University at BuffaloVerified email at buffalo.edu
ahmad makuiprofessor of Industrial Engineering, Iran University of Science and TechnologyVerified email at iust.ac.ir
Pooya KhoshabiVerified email at ind.iust.ac.ir
Ali CheginiPhD Candidate, Department of Industrial Engineering, Amirkabir University of TechnologyVerified email at aut.ac.ir
Rouzbeh GhousiAssociate professor, School of Industrial Engineering, Iran University of Science and Technology(I.UVerified email at iust.ac.ir
S. Ali TorabiFull Professor, University of TehranVerified email at ut.ac.ir
Amir Ghasemikarlsruhe Institute of TechnologyVerified email at kit.edu
ENSIEH GHAEDY-HEIDARYPh.D.. Student, Waterloo UniversityVerified email at uwaterloo.ca
Fariborz JolaiSchool of Industrial Engineering, College of Engineering, University of tehranVerified email at ut.ac.ir
Abolfazl MalekiSchool of Industrial Engineering, College of Engineering, University of TehranVerified email at ut.ac.ir

Erfan Nejati

School of Industrial Engineering, College of Engineering, University of Tehran

Verified email at ut.ac.ir


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A dynamic multi-objective green supply chain network design for perishable products in uncertain environments, the coffee industry case study SA Torabzadeh, E Nejati, A Aghsami, M Rabbani International Journal of Management Science and Engineering Management 17 (3 …, 2022	30	2022
Developing a Multi-Criteria Decision Making approach to compare types of classroom furniture considering mismatches for anthropometric measures of university students P Khoshabi, E Nejati, SF Ahmadi, A Chegini, A Makui, R Ghousi PloS one 15 (9), e0239297, 2020	19	2020
Developing a supervised learning-based simulation method as a decision support tool for rebalancing problems in bike-sharing systems A Maleki, E Nejati, A Aghsami, F Jolai Expert Systems with Applications, 120983, 2023	3	2023
A simulation optimization framework to solve Stochastic Flexible Job-Shop Scheduling Problems—Case: Semiconductor manufacturing E Ghaedy-Heidary, E Nejati, A Ghasemi, SA Torabi Computers & Operations Research, 106508, 2023	1	2023
A Machine Learning-Based Decision Support Tool for Dynamic Scheduling Problem Under Industry 4.0 Environment E Nejati, E Ghaedy-Heidary, A Ghasemi, SA Torabi Available at SSRN 4406241, 0

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