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Rahman, Computers &#38; Industrial Engineering 149 (2020).","chicago":"Tavana, Madjid, Ghasem Khosrojerdi, Hassan Mina, and Amirah Rahman. “A New Dynamic Two-Stage Mathematical Programming Model under Uncertainty for Project Evaluation and Selection.” <i>Computers &#38; Industrial Engineering</i> 149 (2020). <a href=\"https://doi.org/10.1016/j.cie.2020.106795\">https://doi.org/10.1016/j.cie.2020.106795</a>.","mla":"Tavana, Madjid, et al. “A New Dynamic Two-Stage Mathematical Programming Model under Uncertainty for Project Evaluation and Selection.” <i>Computers &#38; Industrial Engineering</i>, vol. 149, 106795, Elsevier BV, 2020, doi:<a href=\"https://doi.org/10.1016/j.cie.2020.106795\">10.1016/j.cie.2020.106795</a>.","bibtex":"@article{Tavana_Khosrojerdi_Mina_Rahman_2020, title={A new dynamic two-stage mathematical programming model under uncertainty for project evaluation and selection}, volume={149}, DOI={<a href=\"https://doi.org/10.1016/j.cie.2020.106795\">10.1016/j.cie.2020.106795</a>}, number={106795}, journal={Computers &#38; Industrial Engineering}, publisher={Elsevier BV}, author={Tavana, Madjid and Khosrojerdi, Ghasem and Mina, Hassan and Rahman, Amirah}, year={2020} }","ama":"Tavana M, Khosrojerdi G, Mina H, Rahman A. A new dynamic two-stage mathematical programming model under uncertainty for project evaluation and selection. <i>Computers &#38; Industrial Engineering</i>. 2020;149. doi:<a href=\"https://doi.org/10.1016/j.cie.2020.106795\">10.1016/j.cie.2020.106795</a>"},"publication":"Computers & Industrial Engineering","department":[{"_id":"277"}],"type":"journal_article","date_created":"2024-05-04T15:27:53Z","intvolume":"       149","publication_status":"published","date_updated":"2024-05-04T15:57:40Z","publication_identifier":{"issn":["0360-8352"]},"author":[{"id":"31858","first_name":"Madjid","last_name":"Tavana","full_name":"Tavana, Madjid"},{"full_name":"Khosrojerdi, Ghasem","last_name":"Khosrojerdi","first_name":"Ghasem"},{"full_name":"Mina, Hassan","first_name":"Hassan","last_name":"Mina"},{"first_name":"Amirah","last_name":"Rahman","full_name":"Rahman, Amirah"}],"title":"A new dynamic two-stage mathematical programming model under uncertainty for project evaluation and selection","status":"public","year":"2020","volume":149,"user_id":"51811","doi":"10.1016/j.cie.2020.106795","_id":"53886","language":[{"iso":"eng"}],"publisher":"Elsevier BV","article_number":"106795"},{"citation":{"bibtex":"@article{Rauchecker_Schryen_2019, title={An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster Response}, volume={272}, number={1}, journal={European Journal of Operational Research}, publisher={Elsevier}, author={Rauchecker, Gerhard and Schryen, Guido}, year={2019}, pages={352–363} }","ama":"Rauchecker G, Schryen G. An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster Response. <i>European Journal of Operational Research</i>. 2019;272(1):352-363.","mla":"Rauchecker, Gerhard, and Guido Schryen. “An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster Response.” <i>European Journal of Operational Research</i>, vol. 272, no. 1, Elsevier, 2019, pp. 352–63.","short":"G. Rauchecker, G. Schryen, European Journal of Operational Research 272 (2019) 352–363.","chicago":"Rauchecker, Gerhard, and Guido Schryen. “An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster Response.” <i>European Journal of Operational Research</i> 272, no. 1 (2019): 352–63.","ieee":"G. Rauchecker and G. Schryen, “An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster Response,” <i>European Journal of Operational Research</i>, vol. 272, no. 1, pp. 352–363, 2019.","apa":"Rauchecker, G., &#38; Schryen, G. (2019). An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster Response. <i>European Journal of Operational Research</i>, <i>272</i>(1), 352–363."},"file_date_updated":"2018-12-13T15:16:37Z","oa":"1","status":"public","has_accepted_license":"1","_id":"5674","publisher":"Elsevier","page":"352 - 363","volume":272,"user_id":"61579","ddc":["000"],"publication":"European Journal of Operational Research","issue":"1","abstract":[{"text":"In disaster operations management, a challenging task for rescue organizations occurs when they have to assign and schedule their rescue units to emerging incidents under time pressure in order to reduce the overall resulting harm. Of particular importance in practical scenarios is the need to consider collaboration of rescue units. This task has hardly been addressed in the literature. We contribute to both modeling and solving this problem by (1) conceptualizing the situation as a type of scheduling problem, (2) modeling it as a binary linear minimization problem, (3) suggesting a branch-and-price algorithm, which can serve as both an exact and heuristic solution procedure, and (4) conducting computational experiments - including a sensitivity analysis of the effects of exogenous model parameters on execution times and objective value improvements over a heuristic suggested in the literature - for different practical disaster scenarios. The results of our computational experiments show that most problem instances of practically feasible size can be solved to optimality within ten minutes. Furthermore, even when our algorithm is terminated once the first feasible solution has been found, this solution is in almost all cases competitive to the optimal solution and substantially better than the solution obtained by the best known algorithm from the literature. This performance of our branch-and-price algorithm enables rescue organizations to apply our procedure in practice, even when the time for decision making is limited to a few minutes. By addressing a very general type of scheduling problem, our approach applies to various scheduling situations.","lang":"eng"}],"date_created":"2018-11-14T15:35:27Z","file":[{"content_type":"application/pdf","file_id":"6019","date_updated":"2018-12-13T15:16:37Z","relation":"main_file","access_level":"open_access","file_size":1470310,"file_name":"JOURNAL VERSION.pdf","date_created":"2018-12-07T11:13:12Z","creator":"hsiemes"}],"department":[{"_id":"277"}],"keyword":["OR in disaster relief","disaster operations management","scheduling","branch-and-price"],"type":"journal_article","author":[{"last_name":"Rauchecker","first_name":"Gerhard","full_name":"Rauchecker, Gerhard"},{"full_name":"Schryen, Guido","first_name":"Guido","last_name":"Schryen","id":"72850"}],"title":"An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster Response","year":"2019","intvolume":"       272","date_updated":"2022-01-06T07:02:28Z","language":[{"iso":"eng"}]},{"title":"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","year":"2019","author":[{"last_name":"Rauchecker","first_name":"Gerhard","full_name":"Rauchecker, Gerhard"},{"full_name":"Schryen, Guido","last_name":"Schryen","first_name":"Guido","id":"72850"}],"date_updated":"2022-01-06T07:03:08Z","language":[{"iso":"eng"}],"publication":"Computers & Operations Research","issue":"104","abstract":[{"text":"Scheduling problems are essential for decision making in many academic disciplines, including operations management, computer science, and information systems. Since many scheduling problems are NP-hard in the strong sense, there is only limited research on exact algorithms and how their efficiency scales when implemented on parallel computing architectures. We address this gap by (1) adapting an exact branch-and-price algorithm to a parallel machine scheduling problem on unrelated machines with sequence- and machine-dependent setup times, (2) parallelizing the adapted algorithm by implementing a distributed-memory parallelization with a master/worker approach, and (3) conducting extensive computational experiments using up to 960 MPI processes on a modern high performance computing cluster. With our experiments, we show that the efficiency of our parallelization approach can lead to superlinear speedup but can vary substantially between instances. We further show that the wall time of serial execution can be substantially reduced through our parallelization, in some cases from 94 hours to less than six minutes when our algorithm is executed on 960 processes.","lang":"eng"}],"file":[{"creator":"hsiemes","date_created":"2019-01-08T14:03:53Z","file_size":4153528,"access_level":"open_access","file_name":"cor-parallel-bp-for-upmsp.pdf","date_updated":"2019-01-08T14:03:53Z","relation":"main_file","content_type":"application/pdf","file_id":"6513"}],"date_created":"2019-01-08T13:50:44Z","type":"journal_article","keyword":["parallel machine scheduling with setup times","parallel branch-and-price algorithm","high performance computing","master/worker parallelization"],"department":[{"_id":"277"}],"status":"public","has_accepted_license":"1","page":"338-357","publisher":"Elsevier","_id":"6512","user_id":"61579","ddc":["000"],"file_date_updated":"2019-01-08T14:03:53Z","citation":{"mla":"Rauchecker, Gerhard, and Guido Schryen. “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.” <i>Computers &#38; Operations Research</i>, no. 104, Elsevier, 2019, pp. 338–57.","ama":"Rauchecker G, Schryen G. 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. <i>Computers &#38; Operations Research</i>. 2019;(104):338-357.","bibtex":"@article{Rauchecker_Schryen_2019, title={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}, number={104}, journal={Computers &#38; Operations Research}, publisher={Elsevier}, author={Rauchecker, Gerhard and Schryen, Guido}, year={2019}, pages={338–357} }","apa":"Rauchecker, G., &#38; 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. <i>Computers &#38; Operations Research</i>, (104), 338–357.","ieee":"G. Rauchecker and G. Schryen, “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,” <i>Computers &#38; Operations Research</i>, no. 104, pp. 338–357, 2019.","short":"G. Rauchecker, G. Schryen, Computers &#38; Operations Research (2019) 338–357.","chicago":"Rauchecker, Gerhard, and Guido Schryen. “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.” <i>Computers &#38; Operations Research</i>, no. 104 (2019): 338–57."},"oa":"1"},{"file":[{"file_size":371490,"access_level":"closed","file_name":"WALKING THE MIDDLE PATH.pdf","date_updated":"2021-08-13T13:26:11Z","relation":"main_file","content_type":"application/pdf","file_id":"6515","creator":"hsiemes","date_created":"2019-01-08T14:07:17Z"},{"creator":"hsiemes","date_created":"2021-08-13T13:25:53Z","date_updated":"2021-08-13T13:25:53Z","relation":"main_file","access_level":"open_access","file_size":331001,"file_name":"Walking the Middle Path_ How Medium Trade-Off Exposure Leads to H.pdf","content_type":"application/pdf","file_id":"23393"}],"date_created":"2019-01-08T14:06:32Z","type":"conference","keyword":["Recommender Agents","Preference Elicitation Method","Trade-off Exposure","Customer Satisfaction"],"department":[{"_id":"277"}],"publication":"Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik","abstract":[{"text":"Recommender Agents (RAs) facilitate consumers’ online purchase decisions for complex, multi-attribute products. As not all combinations of attribute levels can be obtained, users are forced into trade-offs. The exposure of trade-offs in a RA has been found to affect consumers’ perceptions. However, little is known about how different preference elicitation methods in RAs affect consumers by varying degrees of trade-off exposure. We propose a research model that investigates how different levels of trade-off exposure cognitively and affectively influence consumers’ satisfaction with RAs. We operationalize these levels in three different RA types and test our hypotheses in a laboratory experiment with 116 participants. Our results indicate that with increasing tradeoff exposure, perceived enjoyment and perceived control follow an inverted Ushaped relationship. Hence, RAs using preference elicitation methods with medium trade-off exposure yield highest consumer satisfaction. This contributes to the understanding of trade-offs in RAs and provides valuable implications to e-commerce practitioners.","lang":"eng"}],"language":[{"iso":"eng"}],"title":"Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents","year":"2019","author":[{"full_name":"Schuhbeck, Veronika","last_name":"Schuhbeck","first_name":"Veronika"},{"first_name":"Nils","last_name":"Siegfried","full_name":"Siegfried, Nils"},{"first_name":"Verena","last_name":"Dorner","full_name":"Dorner, Verena"},{"first_name":"Alexander","last_name":"Benlian","full_name":"Benlian, Alexander"},{"first_name":"Michael","last_name":"Scholz","full_name":"Scholz, Michael"},{"id":"72850","first_name":"Guido","last_name":"Schryen","full_name":"Schryen, Guido"}],"date_updated":"2022-01-06T07:03:09Z","place":"Siegen, Germany","oa":"1","file_date_updated":"2021-08-13T13:26:11Z","citation":{"mla":"Schuhbeck, Veronika, et al. “Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents.” <i>Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik</i>, 2019, pp. 55–64.","ama":"Schuhbeck V, Siegfried N, Dorner V, Benlian A, Scholz M, Schryen G. Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents. In: <i>Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik</i>. Siegen, Germany; 2019:55-64.","bibtex":"@inproceedings{Schuhbeck_Siegfried_Dorner_Benlian_Scholz_Schryen_2019, place={Siegen, Germany}, title={Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents}, booktitle={Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik}, author={Schuhbeck, Veronika and Siegfried, Nils and Dorner, Verena and Benlian, Alexander and Scholz, Michael and Schryen, Guido}, year={2019}, pages={55–64} }","apa":"Schuhbeck, V., Siegfried, N., Dorner, V., Benlian, A., Scholz, M., &#38; Schryen, G. (2019). Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents. In <i>Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik</i> (pp. 55–64). Siegen, Germany.","ieee":"V. Schuhbeck, N. Siegfried, V. Dorner, A. Benlian, M. Scholz, and G. Schryen, “Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents,” in <i>Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik</i>, Siegen, Germany, 2019, pp. 55–64.","chicago":"Schuhbeck, Veronika, Nils Siegfried, Verena Dorner, Alexander Benlian, Michael Scholz, and Guido Schryen. “Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents.” In <i>Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik</i>, 55–64. Siegen, Germany, 2019.","short":"V. Schuhbeck, N. Siegfried, V. Dorner, A. Benlian, M. Scholz, G. Schryen, in: Proceedings of the 14. 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Cham; 2019. doi:<a href=\"https://doi.org/10.1007/978-3-030-30048-7_40\">10.1007/978-3-030-30048-7_40</a>","mla":"Kuhlemann, Stefan, et al. “Exploiting Counterfactuals for Scalable Stochastic Optimization.” <i>Lecture Notes in Computer Science</i>, 2019, doi:<a href=\"https://doi.org/10.1007/978-3-030-30048-7_40\">10.1007/978-3-030-30048-7_40</a>."},"doi":"10.1007/978-3-030-30048-7_40","user_id":"38910","language":[{"iso":"eng"}],"_id":"14890","date_updated":"2022-01-06T06:52:09Z","publication_status":"published","year":"2019","title":"Exploiting Counterfactuals for Scalable Stochastic Optimization","status":"public","author":[{"full_name":"Kuhlemann, Stefan","first_name":"Stefan","last_name":"Kuhlemann","id":"38910"},{"first_name":"Meinolf","last_name":"Sellmann","full_name":"Sellmann, Meinolf"},{"full_name":"Tierney, Kevin","last_name":"Tierney","first_name":"Kevin"}],"publication_identifier":{"isbn":["9783030300470","9783030300487"],"issn":["0302-9743","1611-3349"]}},{"author":[{"last_name":"Schryen","first_name":"Guido","full_name":"Schryen, Guido","id":"72850"},{"full_name":"Kliewer, Natalia","last_name":"Kliewer","first_name":"Natalia"},{"full_name":"Borndörfer, Ralf","last_name":"Borndörfer","first_name":"Ralf"},{"full_name":"Koch, Thorsten","last_name":"Koch","first_name":"Thorsten"}],"status":"public","title":"High-Performance Business Computing – Parallel Algorithms and Implementations for Solving Problems in Operations Research and Data Analysis","year":"2019","has_accepted_license":"1","intvolume":"        65","date_updated":"2022-01-06T06:52:02Z","language":[{"iso":"eng"}],"_id":"14540","page":"34-35","volume":65,"user_id":"61579","ddc":["000"],"citation":{"ieee":"G. Schryen, N. Kliewer, R. Borndörfer, and T. Koch, “High-Performance Business Computing – Parallel Algorithms and Implementations for Solving Problems in Operations Research and Data Analysis,” <i>OR News</i>, vol. 65, pp. 34–35, 2019.","apa":"Schryen, G., Kliewer, N., Borndörfer, R., &#38; Koch, T. (2019). High-Performance Business Computing – Parallel Algorithms and Implementations for Solving Problems in Operations Research and Data Analysis. <i>OR News</i>, <i>65</i>, 34–35.","short":"G. Schryen, N. Kliewer, R. Borndörfer, T. Koch, OR News 65 (2019) 34–35.","chicago":"Schryen, Guido, Natalia Kliewer, Ralf Borndörfer, and Thorsten Koch. “High-Performance Business Computing – Parallel Algorithms and Implementations for Solving Problems in Operations Research and Data Analysis.” <i>OR News</i> 65 (2019): 34–35.","mla":"Schryen, Guido, et al. “High-Performance Business Computing – Parallel Algorithms and Implementations for Solving Problems in Operations Research and Data Analysis.” <i>OR News</i>, vol. 65, 2019, pp. 34–35.","bibtex":"@article{Schryen_Kliewer_Borndörfer_Koch_2019, title={High-Performance Business Computing – Parallel Algorithms and Implementations for Solving Problems in Operations Research and Data Analysis}, volume={65}, journal={OR News}, author={Schryen, Guido and Kliewer, Natalia and Borndörfer, Ralf and Koch, Thorsten}, year={2019}, pages={34–35} }","ama":"Schryen G, Kliewer N, Borndörfer R, Koch T. 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