Mohammad Mahdi Nasiri
Mohammad Mahdi Nasiri
Associate Professor at the School of Industrial Engineering, College of Engineering
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Optimal investment and unit sizing of distributed energy systems under uncertainty: A robust optimization approach
K Akbari, MM Nasiri, F Jolai, SF Ghaderi
Energy and Buildings, 2014
A simulation optimisation approach for real-time scheduling in an open shop environment using a composite dispatching rule
MM Nasiri, R Yazdanparast, F Jolai
International Journal of Computer Integrated Manufacturing 30 (12), 1239-1252, 2017
A GES/TS algorithm for the job shop scheduling
MM Nasiri, F Kianfar
Computers & Industrial Engineering 62 (4), 946-952, 2012
A guided tabu search/path relinking algorithm for the job shop problem
MM Nasiri, F Kianfar
The International Journal of Advanced Manufacturing Technology 58 (9-12 …, 2012
Vulnerability Analysis of Railway Networks in Case of Multi-Link Blockage
M Bababeik, N Khademi, A Chen, MM Nasiri
Transportation research procedia 22, 275-284, 2017
A hybrid scatter search for the partial job shop scheduling problem
MM Nasiri, F Kianfar
The International Journal of Advanced Manufacturing Technology 52 (9-12 …, 2011
The vehicle routing and scheduling problem with cross-docking for perishable products under uncertainty: Two robust bi-objective models
A Rahbari, MM Nasiri, F Werner, MM Musavi, F Jolai
Applied Mathematical Modelling 70, 605-625, 2019
A pseudo particle swarm optimization for the RCPSP
MM Nasiri
The International Journal of Advanced Manufacturing Technology 65 (5-8), 909-918, 2013
A GA/TS algorithm for the stage shop scheduling problem
MM Nasiri, F Kianfar
Computers & Industrial Engineering 61 (1), 161-170, 2011
A modified ABC algorithm for the stage shop scheduling problem
MM Nasiri
Applied Soft Computing 28, 81-89, 2015
Operating room scheduling by considering the decision-making styles of surgical team members: A comprehensive approach
M Hamid, MM Nasiri, F Werner, F Sheikhahmadi, M Zhalechian
Computers & Operations Research 108, 166-181, 2019
Improvement of operating room performance using a multi-objective mathematical model and data envelopment analysis: A case study
M Hamid, M Hamid, MM Nasiri, M Ebrahimnia
International Journal of Industrial Engineering & Production Research 29 (2 …, 2018
Vulnerability evaluation of freight railway networks using a heuristic routing and scheduling optimization model
M Bababeik, MM Nasiri, N Khademi, A Chen
Transportation 46 (4), 1143–1170, 2019
Incorporating supplier selection and order allocation into the vehicle routing and multi-cross-dock scheduling problem
MM Nasiri, A Rahbari, F Werner, R Karimi
International Journal of Production Research 56 (19), 6527-6552, 2018
An inventory model for non-instantaneous deteriorating items with credit period and carbon emission sensitive demand: a signomial geometric programming approach
L Aliabadi, R Yazdanparast, MM Nasiri
International Journal of Management Science and Engineering Management 14 (2 …, 2019
A modified genetic algorithm for the capacitated competitive facility location problem with the partial demand satisfaction
MM Nasiri, V Mahmoodian, A Rahbari, S Farahmand
Computers & Industrial Engineering 124, 435-448, 2018
A two-step multi-objective mathematical model for nurse scheduling problem considering nurse preferences and consecutive shifts
MM Nasiri, M Rahvar
International Journal of Services and Operations Management 27 (1), 83-101, 2017
Pricing and production decisions in multi-product single machine manufacturing system with discrete delivery and rework
S Shafiee-Gol, MM Nasiri, AA Taleizadeh
OPSEARCH 53 (4), 873-888, 2016
An integrated approach for aircraft turbofan engine fault detection based on data mining techniques
H Gharoun, A Keramati, MM Nasiri, A Azadeh
Expert Systems 36 (2), e12370, 2019
A comprehensive mathematical model for the scheduling problem of the elective patients considering all resources and the capacity of the postoperative care unit: A case study
M Hamid, M Hamid, MM Nasiri, A Talebi
International conference on industrial engineering, 2017
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