Analytical hierarchy process: revolution and evolution
M. Tavana, M. Soltanifar, F.J. Santos-Arteaga, Annals of Operations Research 326 (2023) 879–907.

A novel median-based optimization model for eco-efficiency assessment in data envelopment analysis
A. Dellnitz, M. Tavana, R. Banker, Annals of Operations Research 322 (2023) 661–690.

An integrated group fuzzy inference and best–worst method for supplier selection in intelligent circular supply chains
M. Tavana, S. Sorooshian, H. Mina, Annals of Operations Research (2023).

A fuzzy multi-objective optimization model for sustainable location planning using volumetric fuzzy sets
M. Tavana, H. Arman, A. Hadi-Vencheh, S. Mansoori, Annals of Operations Research (2023).

An optimization model with a lagrangian relaxation algorithm for artificial internet of things-enabled sustainable circular supply chain networks
M. Tavana, A. Khalili Nasr, F.J. Santos-Arteaga, E. Saberi, H. Mina, Annals of Operations Research (2023).

A stochastic bi-objective simulation–optimization model for cascade disaster location-allocation-distribution problems
K. Khalili-Damghani, M. Tavana, P. Ghasemi, Annals of Operations Research 309 (2022) 103–141.

A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries
M. Tavana, K. Govindan, A.K. Nasr, M.S. Heidary, H. Mina, Annals of Operations Research (2021).

A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria
A. Vafadarnikjoo, M. Tavana, T. Botelho, K. Chalvatzis, Annals of Operations Research 289 (2020) 391–418.

A Malmquist productivity index for network production systems in the energy sector
M. Tavana, K. Khalili-Damghani, F.J. Santos Arteaga, A. Hashemi, Annals of Operations Research 284 (2020) 415–445.

A novel method for selecting a single efficient unit in data envelopment analysis without explicit inputs/outputs
M. Toloo, M. Tavana, Annals of Operations Research 253 (2017) 657–681.

Loyal customer bases as innovation disincentives for duopolistic firms using strategic signaling and Bayesian analysis
M. Tavana, D. Di Caprio, F.J. Santos-Arteaga, Annals of Operations Research 244 (2016) 647–676.