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Yang, in: Proceedings of the 59th Hawaii International Conference on System Sciences, Lahaina, Hawaii, USA, 2026.","chicago":"Hassan, Nik, Mauricio Marrone, Guido Schryen, and Jack Yang. “Using Google’s Natural Language Model to Measure Growth of Knowledge in Information Systems Research.” In <i>Proceedings of the 59th Hawaii International Conference on System Sciences</i>. Lahaina, Hawaii, USA, 2026.","ieee":"N. Hassan, M. Marrone, G. Schryen, and J. Yang, “Using Google’s Natural Language Model to Measure Growth of Knowledge in Information Systems Research,” 2026.","ama":"Hassan N, Marrone M, Schryen G, Yang J. Using Google’s Natural Language Model to Measure Growth of Knowledge in Information Systems Research. 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We employ a two-phase solution framework: in phase 1, we solve the Charging Location\r\nand Electric Vehicle Scheduling Problem to generate vehicle schedules that are feasible\r\nfor electric operation; in phase 2, these schedules serve as input to a multi-period transition\r\nplanning model that minimizes the total cost of ownership while determining fleet\r\nreplacement and charging infrastructure deployment. Our experiments show that schedules\r\nobtained from solving the integrated charging location and vehicle scheduling problem\r\nsignificantly outperform traditional methods, resulting in lower total cost of ownership. Additionally,\r\ntransition plans reduce local emissions by up to 85% compared to a diesel-only\r\nscenario. We find that vehicle rotations with long distances and sufficient idle time are\r\nprioritized for electrification, enabling earlier emission reductions and cost savings. This\r\nhighlights the importance of adopting vehicle scheduling tailored for electric buses, rather\r\nthan relying on legacy diesel schedules.","lang":"eng"}],"publication":"Transportation Research Interdisciplinary Perspectives","type":"journal_article"},{"publication":"Cleaner Energy Systems","type":"journal_article","status":"public","file":[{"content_type":"application/pdf","relation":"main_file","creator":"saschab","date_created":"2025-01-27T13:03:28Z","date_updated":"2025-01-27T13:03:28Z","file_name":"CLES_A two-level approach for multi-objective flexible job shop scheduling and energy procurement_preprint.pdf","file_id":"58371","access_level":"open_access","file_size":5979511}],"department":[{"_id":"277"}],"user_id":"32685","_id":"58370","language":[{"iso":"eng"}],"file_date_updated":"2025-01-27T13:03:28Z","ddc":["000"],"has_accepted_license":"1","citation":{"chicago":"Burmeister, Sascha Christian, Daniela Guericke, and Guido Schryen. “A Two-Level Approach for Multi-Objective Flexible Job Shop Scheduling and Energy Procurement.” <i>Cleaner Energy Systems</i>, 2025. <a href=\"https://doi.org/10.1016/j.cles.2025.100178\">https://doi.org/10.1016/j.cles.2025.100178</a>.","ieee":"S. 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