ali najmi
ali najmi
Verified email at student.unsw.edu.au
Title
Cited by
Cited by
Year
A conceptual model for measuring supply chain's performance
A Najmi, A Makui
Production Planning & Control 23 (9), 694-706, 2012
612012
Novel dynamic formulations for real-time ride-sharing systems
A Najmi, D Rey, TH Rashidi
Transportation research part E: logistics and transportation review 108, 122-140, 2017
412017
Providing hierarchical approach for measuring supply chain performance using AHP and DEMATEL methodologies
A Najmi, A Makui
International Journal of Industrial Engineering Computations 1 (2), 199-212, 2010
412010
Supply chain performance models: A literature review on approaches, techniques, and criteria
A Najmi, MR Gholamian, A Makui
Journal of Operations and Supply Chain Management 6 (2), 94-113, 2013
372013
Energy consumption in the residential sector: A study on critical factors
A Najmi, A Keramati
International Journal of Sustainable Energy 35 (7), 645-663, 2016
212016
Reviewing the transport domain: an evolutionary bibliometrics and network analysis
A Najmi, TH Rashidi, A Abbasi, ST Waller
Scientometrics 110 (2), 843-865, 2017
202017
A new fuzzy MCDA framework for make-or-buy decisions: A case study of aerospace industry
M Cheshmberah, A Makui, S Seyedhoseini, A Najmi
Management Science Letters 1 (3), 323-330, 2011
192011
An integrated supply chain: A large scale complementarity model for the biofuel markets
A Najmi, H Shakouri, S Nazari
Biomass and Bioenergy 86, 88-104, 2016
112016
A novel approach for systematically calibrating transport planning model systems
A Najmi, TH Rashidi, EJ Miller
Transportation 46 (5), 1915–1950, 2019
82019
What we know and do not know about connected and autonomous vehicles
TH Rashidi, A Najmi, A Haider, C Wang, F Hosseinzadeh
Transportmetrica A: Transport Science 16 (3), 987-1029, 2020
72020
Calibration of large-scale transport planning models: a structured approach
A Najmi, TH Rashidi, J Vaughan, EJ Miller
Transportation 47, 1867–1905, 2020
52020
How should travel demand and supply models be jointly calibrated?
A Najmi, M Duell, M Ghasri, TH Rashidi, ST Waller
Transportation Research Record 2672 (47), 114-124, 2018
52018
Determination of COVID-19 parameters for an agent-based model: Easing or tightening control strategies
A Najmi, F Safarighouzhdi, EJ Miller, R MacIntyre, TH Rashidi
medRxiv, 2020
32020
A two-stage recreational destination choice study incorporating fuzzy logic in discrete choice modelling
MN Hassan, A Najmi, TH Rashidi
Transportation research part F: traffic psychology and behaviour 67, 123-141, 2019
32019
Recreational Destination Choice Modeling Incorporating Fuzzy Logic in Discrete Choice Modeling
MN Hassan, A Najmi, TH Rashidi
Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017
32017
Ridesharing in the era of Mobility as a Service (MaaS): An Activity-based Approach with Multimodality and Intermodality
A Najmi, TH Rashidi, W Liu
arXiv preprint arXiv:2002.11712, 2020
22020
Integrating Travel Demand and Network Modelling: a Myth or Future of Transport Modelling
A Najmi, D Rey, TH Rashidi, ST Waller
arXiv preprint arXiv:1907.09651, 2019
12019
A novel multi-objective approach for calibration of large-scale transportation planning models
A Najmi, TH Rashidi, J Vaughan, EJ Miller
Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019
12019
Model formulation and calibration procedure for integrated multi-modal activity routing and network assignment models
A Najmi, D Rey, ST Waller, TH Rashidi
Transportation Research Part C: Emerging Technologies 121, 102853, 2020
2020
Macroscopic parking dynamics modeling and optimal real-time pricing considering cruising-for-parking
Z Gu, A Najmi, M Saberi, W Liu, TH Rashidi
Transportation Research Part C: Emerging Technologies 118, 102714, 2020
2020
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