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.
LibreCat: /record/5674

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.
LibreCat: /record/6512

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.
LibreCat: /record/6514

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 
LibreCat: /record/14890
DOI: 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.
LibreCat: /record/14540

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 
LibreCat: /record/53987
DOI: 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 
LibreCat: /record/53976
DOI: 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 
LibreCat: /record/53988
DOI: 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 
LibreCat: /record/53965
DOI: 10.1016/j.cie.2019.05.033

Di Caprio, D., Santos-Arteaga, F. J., &; Tavana, M. (2019). The role of anticipated emotions and the value of information in determining sequential search incentives. Operations Research Perspectives, 6, Article 100106.https://doi.org/10.1016/j.orp.2019.100106 
LibreCat: /record/53978
DOI: 10.1016/j.orp.2019.100106