Yazdani, M., Tavana, M., Pamudar, D., &; Chatterjee, P. (2020). A rough based multi-criteria evaluation method for healthcare waste disposal location decisions. Computers &;amp; Industrial Engineering, 143, Article 106394.https://doi.org/10.1016/j.cie.2020.106394 

Khanjani Shiraz, R., Tavana, M., &; Fukuyama, H. (2020). A random-fuzzy portfolio selection DEA model using value-at-risk and conditional value-at-risk. Soft Computing, 24(22), 17167–17186.https://doi.org/10.1007/s00500-020-05010-7 

Ebrahimi, B., Dellnitz, A., Kleine, A., &; Tavana, M. (2020). A novel method for solving data envelopment analysis problems with weak ordinal data using robust measures. Expert Systems with Applications, 164, Article 113835.https://doi.org/10.1016/j.eswa.2020.113835 

Ebrahimi, B., Tavana, M., Toloo, M., &; Charles, V. (2020). A novel mixed binary linear DEA model for ranking decision-making units with preference information. Computers &; Industrial Engineering, 149, Article 106720.https://doi.org/10.1016/j.cie.2020.106720 

Zaretalab, A., Hajipour, V., &; Tavana, M. (2020). Redundancy allocation problem with multi-state component systems and reliable supplier selection. Reliability Engineering &; System Safety, 193, Article 106629.https://doi.org/10.1016/j.ress.2019.106629 

Santos-Arteaga, F. J., Tavana, M., &; Di Caprio, D. (2020). A new model for evaluating subjective online ratings with uncertain intervals. Expert Systems with Applications, 139, Article 112850.https://doi.org/10.1016/j.eswa.2019.112850 

Vafadarnikjoo, A., Tavana, M., Botelho, T., &; Chalvatzis, K. (2020). A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria. Annals of Operations Research, 289(2), 391–418.https://doi.org/10.1007/s10479-020-03603-x 

Tavana, M., Khalili-Damghani, K., Santos Arteaga, F. J., &; Hashemi, A. (2020). A Malmquist productivity index for network production systems in the energy sector. Annals of Operations Research, 284(1), 415–445.https://doi.org/10.1007/s10479-019-03173-7 

Tavana, M., Mousavi, S. M. H., Mina, H., &; Salehian, F. (2020). A dynamic decision support system for evaluating peer-to-peer rental accommodations in the sharing economy. International Journal of Hospitality Management, 91, Article 102653.https://doi.org/10.1016/j.ijhm.2020.102653 

Jafarian, A., Rabiee, M., &; Tavana, M. (2020). A novel multi-objective co-evolutionary approach for supply chain gap analysis with consideration of uncertainties. International Journal of Production Economics, 228, Article 107852.https://doi.org/10.1016/j.ijpe.2020.107852 

Tavana, M., Khosrojerdi, G., Mina, H., &; Rahman, A. (2020). A new dynamic two-stage mathematical programming model under uncertainty for project evaluation and selection. Computers &; Industrial Engineering, 149, Article 106795.https://doi.org/10.1016/j.cie.2020.106795 

Rauchecker, G., &; Schryen, G. (2019). An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster Response. European Journal of Operational Research, 272(1), 352–363.

Rauchecker, G., &; Schryen, G. (2019). Using High Performance Computing for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm. Computers &; Operations Research, (104), 338–357.

Schuhbeck, V., Siegfried, N., Dorner, V., Benlian, A., Scholz, M., &; Schryen, G. (2019). Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents. In Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik (pp. 55–64). Siegen, Germany.

Kuhlemann, S., Sellmann, M., &; Tierney, K. (2019). Exploiting Counterfactuals for Scalable Stochastic Optimization. In Lecture Notes in Computer Science. Cham.https://doi.org/10.1007/978-3-030-30048-7_40 

Schryen, G., Kliewer, N., Borndörfer, R., &; Koch, T. (2019). High-Performance Business Computing – Parallel Algorithms and Implementations for Solving Problems in Operations Research and Data Analysis. OR News, 65, 34–35.

Toloo, M., Tavana, M., &; Santos-Arteaga, F. J. (2019). An integrated data envelopment analysis and mixed integer non-linear programming model for linearizing the common set of weights. Central European Journal of Operations Research, 27(4), 887–904.https://doi.org/10.1007/s10100-017-0510-y 

Mousavi, S. M., Tavana, M., Alikar, N., &; Zandieh, M. (2019). A tuned hybrid intelligent fruit fly optimization algorithm for fuzzy rule generation and classification. Neural Computing and Applications, 31(3), 873–885.https://doi.org/10.1007/s00521-017-3115-4 

Ebrahimnejad, A., Tavana, M., Nasseri, S. H., &; Gholami, O. (2019). A New Method for Solving Dual DEA Problems with Fuzzy Stochastic Data. International Journal of Information Technology &;amp; Decision Making, 18(01), 147–170.https://doi.org/10.1142/s0219622018500396 

Tavana, M., Khalili-Damghani, K., Santos Arteaga, F. J., &; Hosseini, A. (2019). A fuzzy multi-objective multi-period network DEA model for efficiency measurement in oil refineries. Computers &; Industrial Engineering, 135, 143–155.https://doi.org/10.1016/j.cie.2019.05.033