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Mina, Expert Systems (2023).","bibtex":"@article{Tavana_Sohrabi_Rezaei_Sorooshian_Mina_2023, title={A sustainable circular supply chain network design model for electric vehicle battery production using internet of things and big data}, DOI={<a href=\"https://doi.org/10.1111/exsy.13395\">10.1111/exsy.13395</a>}, journal={Expert Systems}, publisher={Wiley}, author={Tavana, Madjid and Sohrabi, Mahsa and Rezaei, Homa and Sorooshian, Shahryar and Mina, Hassan}, year={2023} }"},"publication_identifier":{"issn":["0266-4720","1468-0394"]},"publication_status":"published","title":"A sustainable circular supply chain network design model for electric vehicle battery production using internet of things and big data","doi":"10.1111/exsy.13395","publisher":"Wiley","date_updated":"2024-05-11T12:39:56Z","author":[{"first_name":"Madjid","full_name":"Tavana, Madjid","id":"31858","last_name":"Tavana"},{"first_name":"Mahsa","full_name":"Sohrabi, Mahsa","last_name":"Sohrabi"},{"full_name":"Rezaei, Homa","last_name":"Rezaei","first_name":"Homa"},{"last_name":"Sorooshian","full_name":"Sorooshian, Shahryar","first_name":"Shahryar"},{"full_name":"Mina, Hassan","last_name":"Mina","first_name":"Hassan"}],"date_created":"2024-05-11T12:27:08Z"},{"language":[{"iso":"eng"}],"department":[{"_id":"277"}],"user_id":"51811","_id":"54185","status":"public","publication":"Soft Computing","type":"journal_article","doi":"10.1007/s00500-023-09497-8","title":"A hesitant fuzzy group decision-making framework with data credibility and strategic evaluations","date_created":"2024-05-11T12:27:56Z","author":[{"first_name":"Madjid","last_name":"Tavana","full_name":"Tavana, Madjid","id":"31858"},{"first_name":"Abazar","last_name":"Keikha","full_name":"Keikha, Abazar"},{"first_name":"Francisco J.","full_name":"Santos-Arteaga, Francisco J.","last_name":"Santos-Arteaga"}],"publisher":"Springer Science and Business Media LLC","date_updated":"2024-05-11T12:39:54Z","citation":{"bibtex":"@article{Tavana_Keikha_Santos-Arteaga_2023, title={A hesitant fuzzy group decision-making framework with data credibility and strategic evaluations}, DOI={<a href=\"https://doi.org/10.1007/s00500-023-09497-8\">10.1007/s00500-023-09497-8</a>}, journal={Soft Computing}, publisher={Springer Science and Business Media LLC}, author={Tavana, Madjid and Keikha, Abazar and Santos-Arteaga, Francisco J.}, year={2023} }","mla":"Tavana, Madjid, et al. “A Hesitant Fuzzy Group Decision-Making Framework with Data Credibility and Strategic Evaluations.” <i>Soft Computing</i>, Springer Science and Business Media LLC, 2023, doi:<a href=\"https://doi.org/10.1007/s00500-023-09497-8\">10.1007/s00500-023-09497-8</a>.","short":"M. Tavana, A. Keikha, F.J. Santos-Arteaga, Soft Computing (2023).","apa":"Tavana, M., Keikha, A., &#38; Santos-Arteaga, F. J. (2023). A hesitant fuzzy group decision-making framework with data credibility and strategic evaluations. <i>Soft Computing</i>. <a href=\"https://doi.org/10.1007/s00500-023-09497-8\">https://doi.org/10.1007/s00500-023-09497-8</a>","chicago":"Tavana, Madjid, Abazar Keikha, and Francisco J. Santos-Arteaga. “A Hesitant Fuzzy Group Decision-Making Framework with Data Credibility and Strategic Evaluations.” <i>Soft Computing</i>, 2023. <a href=\"https://doi.org/10.1007/s00500-023-09497-8\">https://doi.org/10.1007/s00500-023-09497-8</a>.","ieee":"M. Tavana, A. Keikha, and F. J. Santos-Arteaga, “A hesitant fuzzy group decision-making framework with data credibility and strategic evaluations,” <i>Soft Computing</i>, 2023, doi: <a href=\"https://doi.org/10.1007/s00500-023-09497-8\">10.1007/s00500-023-09497-8</a>.","ama":"Tavana M, Keikha A, Santos-Arteaga FJ. A hesitant fuzzy group decision-making framework with data credibility and strategic evaluations. <i>Soft Computing</i>. Published online 2023. doi:<a href=\"https://doi.org/10.1007/s00500-023-09497-8\">10.1007/s00500-023-09497-8</a>"},"year":"2023","publication_identifier":{"issn":["1432-7643","1433-7479"]},"publication_status":"published"},{"status":"public","type":"journal_article","publication":"Annals of Operations Research","language":[{"iso":"eng"}],"_id":"54180","user_id":"51811","department":[{"_id":"277"}],"year":"2023","citation":{"short":"M. Tavana, A. Khalili Nasr, F.J. Santos-Arteaga, E. Saberi, H. Mina, Annals of Operations Research (2023).","mla":"Tavana, Madjid, et al. “An Optimization Model with a Lagrangian Relaxation Algorithm for Artificial Internet of Things-Enabled Sustainable Circular Supply Chain Networks.” <i>Annals of Operations Research</i>, Springer Science and Business Media LLC, 2023, doi:<a href=\"https://doi.org/10.1007/s10479-023-05219-3\">10.1007/s10479-023-05219-3</a>.","bibtex":"@article{Tavana_Khalili Nasr_Santos-Arteaga_Saberi_Mina_2023, title={An optimization model with a lagrangian relaxation algorithm for artificial internet of things-enabled sustainable circular supply chain networks}, DOI={<a href=\"https://doi.org/10.1007/s10479-023-05219-3\">10.1007/s10479-023-05219-3</a>}, journal={Annals of Operations Research}, publisher={Springer Science and Business Media LLC}, author={Tavana, Madjid and Khalili Nasr, Arash and Santos-Arteaga, Francisco J. and Saberi, Esmaeel and Mina, Hassan}, year={2023} }","apa":"Tavana, M., Khalili Nasr, A., Santos-Arteaga, F. J., Saberi, E., &#38; Mina, H. (2023). An optimization model with a lagrangian relaxation algorithm for artificial internet of things-enabled sustainable circular supply chain networks. <i>Annals of Operations Research</i>. <a href=\"https://doi.org/10.1007/s10479-023-05219-3\">https://doi.org/10.1007/s10479-023-05219-3</a>","ama":"Tavana M, Khalili Nasr A, Santos-Arteaga FJ, Saberi E, Mina H. An optimization model with a lagrangian relaxation algorithm for artificial internet of things-enabled sustainable circular supply chain networks. <i>Annals of Operations Research</i>. Published online 2023. doi:<a href=\"https://doi.org/10.1007/s10479-023-05219-3\">10.1007/s10479-023-05219-3</a>","ieee":"M. Tavana, A. Khalili Nasr, F. J. Santos-Arteaga, E. Saberi, and H. Mina, “An optimization model with a lagrangian relaxation algorithm for artificial internet of things-enabled sustainable circular supply chain networks,” <i>Annals of Operations Research</i>, 2023, doi: <a href=\"https://doi.org/10.1007/s10479-023-05219-3\">10.1007/s10479-023-05219-3</a>.","chicago":"Tavana, Madjid, Arash Khalili Nasr, Francisco J. Santos-Arteaga, Esmaeel Saberi, and Hassan Mina. “An Optimization Model with a Lagrangian Relaxation Algorithm for Artificial Internet of Things-Enabled Sustainable Circular Supply Chain Networks.” <i>Annals of Operations Research</i>, 2023. <a href=\"https://doi.org/10.1007/s10479-023-05219-3\">https://doi.org/10.1007/s10479-023-05219-3</a>."},"publication_status":"published","publication_identifier":{"issn":["0254-5330","1572-9338"]},"title":"An optimization model with a lagrangian relaxation algorithm for artificial internet of things-enabled sustainable circular supply chain networks","doi":"10.1007/s10479-023-05219-3","date_updated":"2024-05-11T12:40:02Z","publisher":"Springer Science and Business Media LLC","author":[{"first_name":"Madjid","last_name":"Tavana","id":"31858","full_name":"Tavana, Madjid"},{"full_name":"Khalili Nasr, Arash","last_name":"Khalili Nasr","first_name":"Arash"},{"first_name":"Francisco J.","full_name":"Santos-Arteaga, Francisco J.","last_name":"Santos-Arteaga"},{"full_name":"Saberi, Esmaeel","last_name":"Saberi","first_name":"Esmaeel"},{"last_name":"Mina","full_name":"Mina, Hassan","first_name":"Hassan"}],"date_created":"2024-05-11T12:23:48Z"},{"date_updated":"2024-05-28T09:31:36Z","volume":30,"author":[{"full_name":"Namazi, Mehdi","last_name":"Namazi","first_name":"Mehdi"},{"id":"31858","full_name":"Tavana, Madjid","last_name":"Tavana","first_name":"Madjid"},{"first_name":"Emran","last_name":"Mohammadi","full_name":"Mohammadi, Emran"},{"first_name":"Ali","full_name":"Bonyadi Naeini, Ali","last_name":"Bonyadi Naeini"}],"doi":"10.1108/bij-02-2022-0129","publication_identifier":{"issn":["1463-5771"]},"publication_status":"published","intvolume":"        30","page":"4193-4220","citation":{"chicago":"Namazi, Mehdi, Madjid Tavana, Emran Mohammadi, and Ali Bonyadi Naeini. “A New Strategic Approach for R&#38;D Project Portfolio Selection Using Efficiency-Uncertainty Maps.” <i>Benchmarking: An International Journal</i> 30, no. 10 (2023): 4193–4220. <a href=\"https://doi.org/10.1108/bij-02-2022-0129\">https://doi.org/10.1108/bij-02-2022-0129</a>.","ieee":"M. Namazi, M. Tavana, E. Mohammadi, and A. Bonyadi Naeini, “A new strategic approach for R&#38;D project portfolio selection using efficiency-uncertainty maps,” <i>Benchmarking: An International Journal</i>, vol. 30, no. 10, pp. 4193–4220, 2023, doi: <a href=\"https://doi.org/10.1108/bij-02-2022-0129\">10.1108/bij-02-2022-0129</a>.","ama":"Namazi M, Tavana M, Mohammadi E, Bonyadi Naeini A. A new strategic approach for R&#38;D project portfolio selection using efficiency-uncertainty maps. <i>Benchmarking: An International Journal</i>. 2023;30(10):4193-4220. doi:<a href=\"https://doi.org/10.1108/bij-02-2022-0129\">10.1108/bij-02-2022-0129</a>","apa":"Namazi, M., Tavana, M., Mohammadi, E., &#38; Bonyadi Naeini, A. (2023). A new strategic approach for R&#38;D project portfolio selection using efficiency-uncertainty maps. <i>Benchmarking: An International Journal</i>, <i>30</i>(10), 4193–4220. <a href=\"https://doi.org/10.1108/bij-02-2022-0129\">https://doi.org/10.1108/bij-02-2022-0129</a>","short":"M. Namazi, M. Tavana, E. Mohammadi, A. Bonyadi Naeini, Benchmarking: An International Journal 30 (2023) 4193–4220.","mla":"Namazi, Mehdi, et al. “A New Strategic Approach for R&#38;D Project Portfolio Selection Using Efficiency-Uncertainty Maps.” <i>Benchmarking: An International Journal</i>, vol. 30, no. 10, Emerald, 2023, pp. 4193–220, doi:<a href=\"https://doi.org/10.1108/bij-02-2022-0129\">10.1108/bij-02-2022-0129</a>.","bibtex":"@article{Namazi_Tavana_Mohammadi_Bonyadi Naeini_2023, title={A new strategic approach for R&#38;D project portfolio selection using efficiency-uncertainty maps}, volume={30}, DOI={<a href=\"https://doi.org/10.1108/bij-02-2022-0129\">10.1108/bij-02-2022-0129</a>}, number={10}, journal={Benchmarking: An International Journal}, publisher={Emerald}, author={Namazi, Mehdi and Tavana, Madjid and Mohammadi, Emran and Bonyadi Naeini, Ali}, year={2023}, pages={4193–4220} }"},"_id":"53232","department":[{"_id":"277"}],"user_id":"51811","type":"journal_article","status":"public","publisher":"Emerald","date_created":"2024-04-04T14:03:24Z","title":"A new strategic approach for R&D project portfolio selection using efficiency-uncertainty maps","issue":"10","year":"2023","keyword":["Business and International Management","Strategy and Management"],"language":[{"iso":"eng"}],"publication":"Benchmarking: An International Journal","abstract":[{"text":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose</jats:title><jats:p>New business practices and the globalization of markets force firms to take innovation as the fundamental pillar of their competitive strategy. Research and Development (R&amp;D) plays a vital role in innovation. As technology advances and product life cycles become shorter, firms rely on R&amp;D as a strategy to invigorate innovation. R&amp;D project portfolio selection is a complex and challenging task. Despite the management's efforts to implement the best project portfolio selection practices, many projects continue to fail or miss their target. The problem is that selecting R&amp;D projects requires a deep understanding of strategic vision and technical capabilities. However, many decision-makers lack technological insight or strategic vision. This article aims to provide a method to capitalize on the expertise of R&amp;D professionals to assist managers in making informed and effective decisions. It also provides a framework for aligning the portfolio of R&amp;D projects with the organizational vision and mission.</jats:p></jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design/methodology/approach</jats:title><jats:p>This article proposes a new strategic approach for R&amp;D project portfolio selection using efficiency-uncertainty maps.</jats:p></jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings</jats:title><jats:p>The proposed strategy plane helps decision-makers align R&amp;D project portfolios with their strategies to combine a strategic view and numerical analysis in this research. The proposed strategy plane consists of four areas: Exploitation Zone, Challenge Zone, Desperation Zone and Discretion Zone. Mapping the project into this strategic plane would help decision-makers align their project portfolio according to the corporate perspectives.</jats:p></jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality/value</jats:title><jats:p>The new approach combines the efficiency and uncertainty dimensions in portfolio selection into an integrated framework that: (i) provides a complete representation of the stochastic decision-making processes, (ii) models the endogenous uncertainty inherent in the project selection process and (iii) proposes a computationally practical and visually unique solution procedure for classifying desirable and undesirable R&amp;D projects.</jats:p></jats:sec>","lang":"eng"}]},{"author":[{"full_name":"Burmeister, Sascha Christian","id":"32685","last_name":"Burmeister","first_name":"Sascha Christian"},{"first_name":"Guido","full_name":"Schryen, Guido","id":"72850","last_name":"Schryen"}],"date_created":"2023-02-17T09:44:49Z","publisher":"Springer","date_updated":"2023-04-26T14:38:43Z","oa":"1","doi":"10.1007/s12667-023-00572-5","title":"Distribution Network Optimization: Predicting computation times to design scenario analysis for network operators","has_accepted_license":"1","citation":{"ieee":"S. C. Burmeister and G. Schryen, “Distribution Network Optimization: Predicting computation times to design scenario analysis for network operators,” <i>Energy Systems</i>, 2023, doi: <a href=\"https://doi.org/10.1007/s12667-023-00572-5\">10.1007/s12667-023-00572-5</a>.","chicago":"Burmeister, Sascha Christian, and Guido Schryen. “Distribution Network Optimization: Predicting Computation Times to Design Scenario Analysis for Network Operators.” <i>Energy Systems</i>, 2023. <a href=\"https://doi.org/10.1007/s12667-023-00572-5\">https://doi.org/10.1007/s12667-023-00572-5</a>.","ama":"Burmeister SC, Schryen G. Distribution Network Optimization: Predicting computation times to design scenario analysis for network operators. <i>Energy Systems</i>. Published online 2023. doi:<a href=\"https://doi.org/10.1007/s12667-023-00572-5\">10.1007/s12667-023-00572-5</a>","apa":"Burmeister, S. C., &#38; Schryen, G. (2023). Distribution Network Optimization: Predicting computation times to design scenario analysis for network operators. <i>Energy Systems</i>. <a href=\"https://doi.org/10.1007/s12667-023-00572-5\">https://doi.org/10.1007/s12667-023-00572-5</a>","mla":"Burmeister, Sascha Christian, and Guido Schryen. “Distribution Network Optimization: Predicting Computation Times to Design Scenario Analysis for Network Operators.” <i>Energy Systems</i>, Springer, 2023, doi:<a href=\"https://doi.org/10.1007/s12667-023-00572-5\">10.1007/s12667-023-00572-5</a>.","bibtex":"@article{Burmeister_Schryen_2023, title={Distribution Network Optimization: Predicting computation times to design scenario analysis for network operators}, DOI={<a href=\"https://doi.org/10.1007/s12667-023-00572-5\">10.1007/s12667-023-00572-5</a>}, journal={Energy Systems}, publisher={Springer}, author={Burmeister, Sascha Christian and Schryen, Guido}, year={2023} }","short":"S.C. Burmeister, G. Schryen, Energy Systems (2023)."},"year":"2023","user_id":"61579","department":[{"_id":"277"}],"_id":"42179","file_date_updated":"2023-03-14T13:44:07Z","language":[{"iso":"eng"}],"ddc":["000"],"type":"journal_article","publication":"Energy Systems","file":[{"creator":"hsiemes","date_created":"2023-03-14T13:44:07Z","date_updated":"2023-03-14T13:44:07Z","file_name":"s12667-023-00572-5.pdf","access_level":"open_access","file_id":"43022","file_size":1521348,"content_type":"application/pdf","relation":"main_file"}],"status":"public"},{"language":[{"iso":"eng"}],"ddc":["000"],"publication":"Computers & Operations Research","file":[{"date_created":"2023-05-03T06:10:54Z","creator":"mateskam","date_updated":"2023-05-03T21:56:59Z","access_level":"open_access","file_name":"Meta_Review_LR_OR__Preprint.pdf","file_id":"44362","file_size":2334338,"content_type":"application/pdf","relation":"main_file"}],"date_created":"2023-05-03T06:14:25Z","title":"Literature Reviews in Operations Research: A New Taxonomy and a Meta Review","issue":"September","year":"2023","user_id":"72850","department":[{"_id":"277"}],"_id":"44361","file_date_updated":"2023-05-03T21:56:59Z","article_number":"106269","type":"journal_article","status":"public","author":[{"last_name":"Schryen","id":"72850","full_name":"Schryen, Guido","first_name":"Guido"},{"first_name":"Martina","full_name":"Sperling, Martina","id":"76460","last_name":"Sperling"}],"volume":157,"date_updated":"2023-06-08T18:12:31Z","oa":"1","has_accepted_license":"1","citation":{"apa":"Schryen, G., &#38; Sperling, M. (2023). Literature Reviews in Operations Research: A New Taxonomy and a Meta Review. <i>Computers &#38; Operations Research</i>, <i>157</i>(September), Article 106269.","bibtex":"@article{Schryen_Sperling_2023, title={Literature Reviews in Operations Research: A New Taxonomy and a Meta Review}, volume={157}, number={September106269}, journal={Computers &#38; Operations Research}, author={Schryen, Guido and Sperling, Martina}, year={2023} }","short":"G. Schryen, M. Sperling, Computers &#38; Operations Research 157 (2023).","mla":"Schryen, Guido, and Martina Sperling. “Literature Reviews in Operations Research: A New Taxonomy and a Meta Review.” <i>Computers &#38; Operations Research</i>, vol. 157, no. September, 106269, 2023.","chicago":"Schryen, Guido, and Martina Sperling. “Literature Reviews in Operations Research: A New Taxonomy and a Meta Review.” <i>Computers &#38; Operations Research</i> 157, no. September (2023).","ieee":"G. Schryen and M. Sperling, “Literature Reviews in Operations Research: A New Taxonomy and a Meta Review,” <i>Computers &#38; Operations Research</i>, vol. 157, no. September, Art. no. 106269, 2023.","ama":"Schryen G, Sperling M. Literature Reviews in Operations Research: A New Taxonomy and a Meta Review. <i>Computers &#38; Operations Research</i>. 2023;157(September)."},"intvolume":"       157"},{"date_created":"2023-05-03T08:55:42Z","title":"Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework","issue":"1","year":"2023","language":[{"iso":"eng"}],"ddc":["000"],"publication":"European Journal of Operational Research (EJOR)","file":[{"date_created":"2023-05-03T08:48:57Z","creator":"mateskam","date_updated":"2023-05-03T22:01:15Z","file_name":"Driver_Behavior_in_last_mile_delivery_EJOR_Final.pdf","file_id":"44388","access_level":"open_access","file_size":1162912,"content_type":"application/pdf","relation":"main_file"}],"volume":311,"author":[{"full_name":"Dieter, Peter","id":"88592","last_name":"Dieter","first_name":"Peter"},{"first_name":"Matthew","last_name":"Caron","id":"60721","full_name":"Caron, Matthew"},{"last_name":"Schryen","full_name":"Schryen, Guido","id":"72850","first_name":"Guido"}],"oa":"1","date_updated":"2023-06-20T07:00:58Z","doi":"https://doi.org/10.1016/j.ejor.2023.04.043","has_accepted_license":"1","page":"283-300","intvolume":"       311","citation":{"ieee":"P. Dieter, M. Caron, and G. Schryen, “Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework,” <i>European Journal of Operational Research (EJOR)</i>, vol. 311, no. 1, pp. 283–300, 2023, doi: <a href=\"https://doi.org/10.1016/j.ejor.2023.04.043\">https://doi.org/10.1016/j.ejor.2023.04.043</a>.","chicago":"Dieter, Peter, Matthew Caron, and Guido Schryen. “Integrating Driver Behavior into Last-Mile Delivery Routing: Combining Machine Learning and Optimization in a Hybrid Decision Support Framework.” <i>European Journal of Operational Research (EJOR)</i> 311, no. 1 (2023): 283–300. <a href=\"https://doi.org/10.1016/j.ejor.2023.04.043\">https://doi.org/10.1016/j.ejor.2023.04.043</a>.","short":"P. Dieter, M. Caron, G. Schryen, European Journal of Operational Research (EJOR) 311 (2023) 283–300.","mla":"Dieter, Peter, et al. “Integrating Driver Behavior into Last-Mile Delivery Routing: Combining Machine Learning and Optimization in a Hybrid Decision Support Framework.” <i>European Journal of Operational Research (EJOR)</i>, vol. 311, no. 1, 2023, pp. 283–300, doi:<a href=\"https://doi.org/10.1016/j.ejor.2023.04.043\">https://doi.org/10.1016/j.ejor.2023.04.043</a>.","bibtex":"@article{Dieter_Caron_Schryen_2023, title={Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework}, volume={311}, DOI={<a href=\"https://doi.org/10.1016/j.ejor.2023.04.043\">https://doi.org/10.1016/j.ejor.2023.04.043</a>}, number={1}, journal={European Journal of Operational Research (EJOR)}, author={Dieter, Peter and Caron, Matthew and Schryen, Guido}, year={2023}, pages={283–300} }","apa":"Dieter, P., Caron, M., &#38; Schryen, G. (2023). 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