Schryen, G., Marrone, M., &; Yang, J. (2024). Adopting Generative AI for Literature Reviews: An Epistemological Perspective. Proceedings of the 57th Hawaii International Conference on System Science (HICSS 2024).
LibreCat: /record/47427

Betke, H., Sperling, M., Schryen, G., &; Sackmann, S. (2024). A Design Theory for Spontaneous Volunteer Coordination Systems in Disaster Response. Proceedings of the 57th Hawaii International Conference on System Science (HICSS 2024).
LibreCat: /record/47429

Schryen, G. (2024). Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis. Journal of Parallel and Distributed Computing.
LibreCat: /record/50301

Stumpe, M. (2024). A new mathematical formulation for the simultaneous optimization of charging infrastructure and vehicle schedules for electric bus systems. Transportation Research Procedia, 78, 402–409.https://doi.org/10.1016/j.trpro.2024.02.051 
LibreCat: /record/52092
DOI: 10.1016/j.trpro.2024.02.051

Stumpe, M., Dieter, P., Schryen, G., Müller, O., &; Beverungen, D. (2024). Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study. Transportation Research Part A: Policy and Practice.
LibreCat: /record/53130

Amiri, A., Tavana, M., &; Arman, H. (2024). An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction. Internet of Things, 25, Article 101027.https://doi.org/10.1016/j.iot.2023.101027 
LibreCat: /record/53213
DOI: 10.1016/j.iot.2023.101027

Mahmoodi, E., Fathi, M., Tavana, M., Ghobakhloo, M., &; Ng, A. H. C. (2024). Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing. Journal of Manufacturing Systems, 72, 287–307.https://doi.org/10.1016/j.jmsy.2023.11.019 
LibreCat: /record/53212
DOI: 10.1016/j.jmsy.2023.11.019

Tavana, M., &; Sorooshian, S. (2024). A systematic review of the soft computing methods shaping the future of the metaverse. Applied Soft Computing, 150, Article 111098.https://doi.org/10.1016/j.asoc.2023.111098 
LibreCat: /record/53205
DOI: 10.1016/j.asoc.2023.111098

Santos-Arteaga, F. J., Di Caprio, D., Tavana, M., Cucchiari, D., Campistol, J. M., Oppenheimer, F., Diekmann, F., &; Revuelta, I. (2024). On the Capacity of Artificial Intelligence Techniques and Statistical Methods to Deal with Low Quality Data in Medical Supply Chain Environments. Engineering Applications of Artificial Intelligence.
LibreCat: /record/54188

Tavana, M., Bonyani, A., &; Karimi, T. (2024). A Full Ranking Method in Data Envelopment Analysis with Multi-Criteria Decision Analysis. International Journal of Applied Management Science.
LibreCat: /record/54189

Setak, M., Tavana, M., &; Talafi Daryani, H. (2024). A Two-Level Supply Chain Coordination Model for Perishable Products under Optimal Markdown Time and Trade Credit Policies. OPSEARCH.
LibreCat: /record/54187

Tavana, M., Sorooshian, S., Sarvarizadehkouhpaye, M., &; Mina, H. (2024). A Novel Fuzzy General Best-Worst Method for Considering Diversity and Inclusion in Supplier Selection Programs. Annals of Operations Research.
LibreCat: /record/54179

Dellnitz, A., &; Tavana, M. (2024). Data Envelopment Analysis: From Non-Monotonic to Monotonic Scale Elasticities. European Journal of Operational Research.
LibreCat: /record/54178

Burmeister, S. C. (2024). Green Multi-Objective Scheduling - A memetic NSGA-III for flexible production with real-time energy cost and emissions.
LibreCat: /record/54445
arXiv: 2405.14339v1

Burmeister, S. C., &; Schryen, G. (2023). Distribution Network Optimization: Predicting computation times to design scenario analysis for network operators. Energy Systems.https://doi.org/10.1007/s12667-023-00572-5 
LibreCat: /record/42179
DOI: 10.1007/s12667-023-00572-5

Schryen, G., &; Sperling, M. (2023). Literature Reviews in Operations Research: A New Taxonomy and a Meta Review. Computers &; Operations Research, 157(September), Article 106269.
LibreCat: /record/44361

Dieter, P., Caron, M., &; Schryen, G. (2023). Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework. European Journal of Operational Research (EJOR), 311(1), 283–300.https://doi.org/10.1016/j.ejor.2023.04.043 
LibreCat: /record/44383
DOI: https://doi.org/10.1016/j.ejor.2023.04.043

Dieter, P., Stumpe, M., Ulmer, M. W., &; Schryen, G. (2023). Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing. Transportation Research Part D, 121, Article 103832.
LibreCat: /record/45816

Dieter, P. (2023). A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows. In Lecture Notes in Computer Science. Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-43612-3_14 
LibreCat: /record/46867
DOI: 10.1007/978-3-031-43612-3_14

Burmeister, S. C., Guericke, D., &; Schryen, G. (2023). A Memetic NSGA-II for the Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy Tariffs. Flexible Services and Manufacturing Journal.https://doi.org/10.1007/s10696-023-09517-7 
LibreCat: /record/47431
DOI: 10.1007/s10696-023-09517-7