TY - CHAP A1 - Masing, Berenike A1 - Lindner, Niels A1 - Liebchen, Christian T1 - Integrating Line Planning for Construction Sites into Periodic Timetabling via Track Choice T2 - 23rd Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2023) N2 - We consider maintenance sites for urban rail systems, where unavailable tracks typically require changes to the regular timetable, and often even to the line plan. In this paper, we present an integrated mixed-integer linear optimization model to compute an optimal line plan that makes best use of the available tracks, together with a periodic timetable, including its detailed routing on the tracks within the stations. The key component is a flexible, turn-sensitive event-activity network that allows to integrate line planning and train routing using a track choice extension of the Periodic Event Scheduling Problem (PESP). Major goals are to maintain as much of the regular service as possible, and to keep the necessary changes rather local. Moreover, we present computational results on real construction site scenarios on the S-Bahn Berlin network. We demonstrate that this integrated problem is indeed solvable on practically relevant instances. KW - periodic timetabling KW - line planning KW - track choice KW - mixed-integer programming KW - construction site KW - railway rescheduling Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-17916 SN - 978-3-95977-302-7 SN - 2190-6807 VL - 115 SP - 5:1 EP - 5:15 ER - TY - CHAP A1 - Neumann, Gaby T1 - From human experts to AI agents: Agentic AI for knowledge-intense problem-solving in logistics? T2 - Proceedings of the 26th European Conference on Knowledge Management : VOL 1 N2 - Logistics planning is a complex and complicated problem solving process requiring a wide range of knowledge and competence. A planning person or team represents a particular set of knowledge, skills, experience and personal attitudes. His, her or their level of competence decides about success or failure of the planning and about the quality of its results. With this, logistics planning is knowledge-based and knowledge-creating. Because of this, Knowledge Management can provide tremendous support to the planning person. Even though, there is a wide variety of (software) tools applicable to solve specific sub-problems throughout the planning process, human expertise is the key to develop creative planning solutions so far. Latest developments with regard to Artificial Intelligence (AI) might change this picture. AI is one of the most promising technological advancements, but also one of the most ambivalently discussed topics these days. It has surpassed humans at a number of tasks already and continues in doing so at new tasks in an increasing rate. Because of this, AI is capable to assist humans in many different ways. The latest boost of development moved AI application from those sophisticated communicators or task-oriented AI to intelligent agents or agentic AI allowing for autonomous, goal-driven decision-making. Hybrid approaches combine those advanced AI capabilities with human oversight, offering context-aware adaptability without full autonomy. In this way, artificial intelligence and human intelligence join forces in teams, for example, to solve complex problems creatively. Against this background, the paper analyses agentic AI with regard to its potential to support creative problem solving in a knowledge-intense field like logistics planning. Will AI agents become co-workers in logistics planning teams or can agentic AI design logistics solutions autonomously? With this, the paper focusses on chances and challenges coming with the highly dynamic evolution of AI within a complex, knowledge-intense application area where human experience, problem-solving capability and creativity is decisive. It contributes to discussions about necessary adjustments in how organizations manage their knowledge considering artificial and human intelligence. KW - AI agent KW - agentic AI KW - knowledge management KW - knowledge sharing KW - logistics planning KW - problem-solving Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-21223 SP - 719 EP - 727 PB - Academic Conferences and Publishing International CY - Reading ER - TY - CHAP A1 - Gross, Matthias A1 - Kuhl, Thorsten A1 - Stephan, Frank A1 - Li, Xiangkun A1 - Philipp, Sebastian A1 - Grebinyk, Anna A1 - Khachatryan, Vitali A1 - Qian, Houjun A1 - Aboulbanine, Zakaria A1 - Amirkhanyan, Zohrab A1 - Riemer, Felix A1 - Oppelt, Anne A1 - Krasilnikov, Mikhail ED - Istituto Nazionale Di Fisca Nucleare, T1 - A beam line setup for flash radiation therapy with focused electron beams at the Pitz facility at DESY in Zeuthen: basic concept and dosimetry simulations T2 - IPAC'23 : 14th International Particle Accelerator Conference, 7-12 May 2023, Venice, Italy : proceedings N2 - The aim of this work is to demonstrate the principal possibility to enhance the electron beam dose deposition in the depth of the sample for radiation therapy purposes. Trains of electron bunches of 22 MeV generated at PITZ are focused inside the sample using a dedicated fast deflector and a solenoid magnet. To explore the capabilities of the proposed setup, dose distributions are calculated for multiple electron bunches focused in a single point inside a water phantom. Electron beam focusing produces dose peaks with a tunable maximal dose depth which is interesting for healthy tissue sparing at the surface and enhancing treatment quality. The duration of the full bunch train is 1 ms. During this time interval, the FLASH effect could be efficiently triggered inside the irradiated target volume. Monte Carlo simulations based on the FLUKA code were performed to evaluate the depth dose curves distributions in a water phantom. Using the PITZ electron beam parameters, simulations have shown the possibility to produce a peak dose in water seven times higher than compared to the dose at the surface. Moreover, the RMS size homogeneous area around the maximal dose is approximately 25 mm. Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-21132 SP - 5000 EP - 5003 PB - JACoW Publishing ER - TY - CHAP A1 - Krasilnikov, Mikhail A1 - Aboulbanine, Zakaria A1 - Adhikari, Gowri A1 - Aftab, Namra A1 - Asoyan, Aida A1 - Davtyan, Hakob A1 - Georgiev, Georgi A1 - Good, James A1 - Grebinyk, Anna A1 - Gross, Matthias A1 - Hoffmann, Andreas A1 - Kongmon, Ekkachai A1 - Li, Xiangkun A1 - Lueangaramwong, Anusorn A1 - Melkumyan, David A1 - Mohanty, Sandeep A1 - Niemczyk, Raffael A1 - Oppelt, Anne A1 - Qian, Houjun A1 - Richard, Christopher A1 - Schneidmiller, Evgeny A1 - Stephan, Frank A1 - Vashchenko, Grygorii ED - Istituto Nazionale Di Fisca Nucleare, T1 - THz SASE FEL at PITZ: lasing at a wavelength of 100μm T2 - IPAC'23 : 14th International Particle Accelerator Conference, 7-12 May 2023, Venice, Italy : proceedings N2 - Development of an accelerator-based tunable THz source prototype for pump-probe experiments at the European XFEL is ongoing at the Photo Injector Test facility at DESY in Zeuthen (PITZ). The proof-of-principle experiments on the THz SASE FEL are performed utilizing the LCLS-I undulator installed in the PITZ beamline. The first lasing at a center wavelength of 100 µm was observed in the summer of 2022. The lasing of the narrowband THz source was achieved using an electron beam with an energy of ~17 MeV and a bunch charge up to several nC. Optimization of beam transport and matching resulted in the measurement of THz radiation with a pulse energy of tens of µJ, measured with pyroelectric detectors. The THz FEL gain curves were measured by means of specially designed short coils along the undulator. The results of the first characterization of the THz source at PITZ will be presented. Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-21113 SP - 3948 EP - 3951 PB - JACoW Publishing ER - TY - CHAP A1 - Gross, Matthias A1 - Hoffmann, Andreas A1 - Georgiev, Georgi A1 - Kuhl, Thorsten A1 - Li, Xiangkun A1 - Oppelt, Anne A1 - Boonpornprasert, Prach A1 - Philipp, Sebastian A1 - Grebinyk, Anna A1 - Vashchenko, Grygorii A1 - Aftab, Namra A1 - Adhikari, Gowri A1 - Richard, Christopher A1 - Stephan, Frank A1 - Khachatryan, Vitali A1 - Riemer, Felix A1 - Krasilnikov, Mikhail A1 - Amirkhanyan, Zohrab ED - Istituto Nazionale Di Fisca Nucleare, T1 - Comparison of measurements and simulation results of dose for the FLASH radiation therapy beamline at PITZ T2 - IPAC'23 : 14th International Particle Accelerator Conference, 7-12 May 2023, Venice, Italy : proceedings N2 - The high-brightness electron beam at the Photo Injector Test facility at DESY in Zeuthen (PITZ) is now also used for FLASHlab@PITZ: an R&D platform for studying radiation biology and the FLASH effect in radiation therapy. The available parameter space of the electron beam with a momentum of 22 MeV/c allows bunch charges from 10 pC up to 5nC, bunch durations of 0.1–60ps, and bunch train lengths up to 1 ms. The number of bunches in the single train can currently be varied between 1 and 1000 bunches, with an upgrade to 4500 foreseen in 2023. Radiation biology studies require accurate dose prediction, therefore Monte Carlo simulations based on the FLUKA code were performed. According to estimations, dose delivery of 0.002 Gy (low charge case 0.1pC) and 10Gy (high charge case 5nC) is possible, if the beam is confined to a circular area with a radius of 5 mm with a lead collimator. For the Monte Carlo simulations, the experimental setup was accurately modeled, including the exit window, lead collimator, etc. Dose measurements were used to compare simulations with experiments. Dose profiles were experimentally measured with Gafchromic films and then compared with Monte Carlo simulations. The first experiments at FLASHlab@PITZ in 2023 have demonstrated flexible dose options for studying the FLASH effect and radiation biology studies. Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:526-opus4-21126 SP - 4996 EP - 4999 PB - JACoW Publishing ER -