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Akhgar, and Y. Jabbari, “An optimization model for traceable closed-loop supply chain networks,” <i>Applied Mathematical Modelling</i>, vol. 71, pp. 673–699, 2019, doi: <a href=\"https://doi.org/10.1016/j.apm.2019.03.007\">10.1016/j.apm.2019.03.007</a>.","apa":"Hajipour, V., Tavana, M., Di Caprio, D., Akhgar, M., &#38; Jabbari, Y. (2019). An optimization model for traceable closed-loop supply chain networks. <i>Applied Mathematical Modelling</i>, <i>71</i>, 673–699. <a href=\"https://doi.org/10.1016/j.apm.2019.03.007\">https://doi.org/10.1016/j.apm.2019.03.007</a>"}},{"department":[{"_id":"277"}],"type":"journal_article","date_created":"2024-05-06T16:19:43Z","citation":{"mla":"Tavana, Madjid, et al. “A Hybrid Mathematical Programming Model for Optimal Project Portfolio Selection Using Fuzzy Inference System and Analytic Hierarchy Process.” <i>Evaluation and Program Planning</i>, vol. 77, 101703, Elsevier BV, 2019, doi:<a href=\"https://doi.org/10.1016/j.evalprogplan.2019.101703\">10.1016/j.evalprogplan.2019.101703</a>.","ama":"Tavana M, Khosrojerdi G, Mina H, Rahman A. A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process. <i>Evaluation and Program Planning</i>. 2019;77. doi:<a href=\"https://doi.org/10.1016/j.evalprogplan.2019.101703\">10.1016/j.evalprogplan.2019.101703</a>","bibtex":"@article{Tavana_Khosrojerdi_Mina_Rahman_2019, title={A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process}, volume={77}, DOI={<a href=\"https://doi.org/10.1016/j.evalprogplan.2019.101703\">10.1016/j.evalprogplan.2019.101703</a>}, number={101703}, journal={Evaluation and Program Planning}, publisher={Elsevier BV}, author={Tavana, Madjid and Khosrojerdi, Ghasem and Mina, Hassan and Rahman, Amirah}, year={2019} }","apa":"Tavana, M., Khosrojerdi, G., Mina, H., &#38; Rahman, A. (2019). A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process. <i>Evaluation and Program Planning</i>, <i>77</i>, Article 101703. <a href=\"https://doi.org/10.1016/j.evalprogplan.2019.101703\">https://doi.org/10.1016/j.evalprogplan.2019.101703</a>","ieee":"M. Tavana, G. Khosrojerdi, H. Mina, and A. Rahman, “A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process,” <i>Evaluation and Program Planning</i>, vol. 77, Art. no. 101703, 2019, doi: <a href=\"https://doi.org/10.1016/j.evalprogplan.2019.101703\">10.1016/j.evalprogplan.2019.101703</a>.","chicago":"Tavana, Madjid, Ghasem Khosrojerdi, Hassan Mina, and Amirah Rahman. “A Hybrid Mathematical Programming Model for Optimal Project Portfolio Selection Using Fuzzy Inference System and Analytic Hierarchy Process.” <i>Evaluation and Program Planning</i> 77 (2019). <a href=\"https://doi.org/10.1016/j.evalprogplan.2019.101703\">https://doi.org/10.1016/j.evalprogplan.2019.101703</a>.","short":"M. Tavana, G. Khosrojerdi, H. Mina, A. Rahman, Evaluation and Program Planning 77 (2019)."},"publication":"Evaluation and Program Planning","volume":77,"user_id":"51811","doi":"10.1016/j.evalprogplan.2019.101703","_id":"53966","publisher":"Elsevier BV","language":[{"iso":"eng"}],"article_number":"101703","intvolume":"        77","publication_status":"published","date_updated":"2024-05-06T16:39:06Z","publication_identifier":{"issn":["0149-7189"]},"author":[{"full_name":"Tavana, Madjid","first_name":"Madjid","last_name":"Tavana","id":"31858"},{"last_name":"Khosrojerdi","first_name":"Ghasem","full_name":"Khosrojerdi, Ghasem"},{"last_name":"Mina","first_name":"Hassan","full_name":"Mina, Hassan"},{"full_name":"Rahman, Amirah","first_name":"Amirah","last_name":"Rahman"}],"year":"2019","status":"public","title":"A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process"},{"user_id":"61579","ddc":["000"],"_id":"5675","has_accepted_license":"1","conference":{"name":"15th International Conference on Information Systems for Crisis Response and Management","location":"Rochester, NY, USA"},"status":"public","oa":"1","citation":{"mla":"Rauchecker, Gerhard, and Guido Schryen. “Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief.” <i>Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management</i>, 2018.","bibtex":"@inproceedings{Rauchecker_Schryen_2018, title={Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief}, booktitle={Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management}, author={Rauchecker, Gerhard and Schryen, Guido}, year={2018} }","ama":"Rauchecker G, Schryen G. Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief. In: <i>Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management</i>. ; 2018.","ieee":"G. Rauchecker and G. Schryen, “Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief,” in <i>Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management</i>, Rochester, NY, USA, 2018.","apa":"Rauchecker, G., &#38; Schryen, G. (2018). Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief. In <i>Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management</i>. Rochester, NY, USA.","chicago":"Rauchecker, Gerhard, and Guido Schryen. “Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief.” In <i>Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management</i>, 2018.","short":"G. Rauchecker, G. Schryen, in: Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018."},"file_date_updated":"2018-12-13T15:05:44Z","language":[{"iso":"eng"}],"date_updated":"2022-01-06T07:02:28Z","author":[{"last_name":"Rauchecker","first_name":"Gerhard","full_name":"Rauchecker, Gerhard"},{"id":"72850","full_name":"Schryen, Guido","first_name":"Guido","last_name":"Schryen"}],"title":"Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief","year":"2018","department":[{"_id":"277"}],"keyword":["Coordination of spontaneous volunteers","volunteer coordination system","decision support","scheduling optimization model","linear programming"],"type":"conference","date_created":"2018-11-14T15:35:54Z","file":[{"date_created":"2018-12-07T11:25:06Z","creator":"hsiemes","file_id":"6020","content_type":"application/pdf","file_name":"2018_ISCRAM_Conference_Proceedings - Publication Version.pdf","access_level":"open_access","file_size":488472,"relation":"main_file","date_updated":"2018-12-13T15:05:44Z"}],"extern":"1","abstract":[{"lang":"eng","text":"When responding to natural disasters, professional relief units are often supported by many volunteers which are not affiliated to humanitarian organizations. The effective coordination of these volunteers is crucial to leverage their capabilities and to avoid conflicts with professional relief units. In this paper, we empirically identify key requirements that professional relief units pose on this coordination. Based on these requirements, we suggest a decision model. We computationally solve a real-world instance of the model and empirically validate the computed solution in interviews with practitioners. Our results show that the suggested model allows for solving volunteer coordination tasks of realistic size near-optimally within short time, with the determined solution being well accepted by practitioners. We also describe in this article how the suggested decision support model is integrated in the volunteer coordination system which we develop in joint cooperation with a disaster management authority and a software development company."}],"publication":"Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management"}]