Benjamin Rolf
M. Sc. Benjamin Rolf
Current projects
KISync - Artificial intelligence for cross-process synchronization of decisions in operational supply chain planning
Duration: 01.10.2022 bis 30.09.2025
The KISync research project aims to investigate how artificial intelligence (AI) methods can be used to synchronize the decision-making problems of various processes in operational supply chain planning under the influence of uncertainties. In particular, internal company planning in competitive supply chains with little information exchange will be examined. Another focus is the question of how AI can form synergies with humans in order to improve decisions in complex situations in supply chain management and also sustainably increase the cross-process data competence of humans. Due to the dynamics of global supply chains with increasing uncertainties, the development of such a system is expected to improve the planning quality and robustness of operational supply chain planning. The system is to be implemented as a prototype in order to evaluate its functionality using existing supply chain data from two medium-sized companies.
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Completed projects
Paket-KV-MD² - Sustainable parcel service through combined transport on the last mile with micro-depots in Magdeburg
Duration: 01.10.2019 bis 30.09.2022
The strong growth of courier, express and parcel services (CEP) poses major challenges for cities. Last-mile delivery is increasingly causing traffic congestion and - as long as deliveries are made using traditional diesel vans - noise and exhaust pollution. This is not least due to the low utilization rate of 30% for light diesel commercial vehicles in inner-city fine distribution. In addition, does not always guarantee successful delivery to the customer, meaning that deliveries are made more often than planned. This worsens the profitability of logistics service providers and jeopardizes customer satisfaction. Under the leadership of the Magdeburg Media Group (MVD: Magdeburger Verlags- und Druckhaus GmbH) and in cooperation with FIApro UG and the Institute for Logistics and Material Flow Technology (ILM) at Otto von Guericke University (OVGU), the joint project Paket-KV-MD² aims to develop and implement parcel distribution with an innovative hub-and-spoke approach using a combination of urban hubs, micro-depots, parcel stations and cargo bikes. As part of the joint project, the logistical interfaces in the state capital of Magdeburg will be further developed and new handling technologies for combined transport (CT) will be implemented.
To test this unique combination of urban hub, micro-depot, parcel station and cargo bike distribution in the district within a selected urban area in Magdeburg, the locations of the system will first be determined and dimensioned according to the planning database. The project aims to implement a modular approach with new handling systems, handling equipment, transport technologies and technical equipment as well as new information and control technology for the overall handling process. Therefore, after the detailed planning and tendering of the system components, the vehicles, the handling equipment, the software and the handling concept, these will be set up and put into operation. After their completion and the implementation of the preparatory measures, such as route and personnel deployment planning, the pilot operation will take place in Magdeburg. During the pilot operation, the relevant operating data is recorded, processed and evaluated. This includes, for example, data on energy consumption and greenhouse gas emissions from both the vehicles and the locations in order to calculate the savings potential compared to the initial situation. According to initial estimates, the implementation of the joint project will result in annual savings of several tons of CO2 (approx. 3.93 t CO2/a). In addition, the technical and logistical optimization of the overall system will take place during the pilot operation, for example by producing new swap bodies or parcel stations or updating the route planning because a location has changed.
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2024
Book chapter
Optimizing safety stock placement in large real-world automotive supply networks using the Guaranteed-service Model
Rolf, Benjamin; Lavassani, Kayvan; Lang, Sebastian; Reggelin, Tobias
In: Proceedings of the 57th Annual Hawaii International Conference on System Sciences , 2024 - Honolulu, HI : Department of IT Management, Shidler College of Business, University of Hawaii ; Bui, Tung X., S. 1669-1678 [Konferenz: 57th Hawaii International Conference on System Sciences, Honolulu, Hawaii, January 3-6, 2024]
Peer-reviewed journal article
An LSTM network-based genetic algorithm for integrated procurement and scheduling optimisation
Bubak, Alexander; Rolf, Benjamin; Reggelin, Tobias; Lang, Sebastian; Stuckenschmidt, Heiner
In: International journal of production research - London [u.a.] : Taylor & Francis . - 2024, insges. 30 S.
Using Sentiment Analysis to Detect Disruptive Events in Supply Chains
Vishnuthilak, Kiran Katoor; Rolf, Benjamin; Reggelin, Tobias; Lang, Sebastian
In: IFAC-PapersOnLine / Internationale Förderung für Automatische Lenkung - Frankfurt : Elsevier, Bd. 58 (2024), Heft 19, insges. 6 S.
A review on unsupervised learning algorithms and applications in supply chain management
Rolf, Benjamin; Beier, Alexander; Jackson, Ilya; Müller, Marcel; Reggelin, Tobias; Stuckenschmidt, Heiner; Lang, Sebastian
In: International journal of production research - London [u.a.] : Taylor & Francis . - 2024, insges. 51 S. [Online first]
A transformer-based deep reinforcement learning approach for dynamic parallel machine scheduling problem with family setups
Li, Funing; Lang, Sebastian; Tian, Yuan; Hong, Bingyuan; Rolf, Benjamin; Noortwyck, Ruben; Schulz, Robert; Reggelin, Tobias
In: Journal of intelligent manufacturing - Dordrecht [u.a.] : Springer Science + Business Media B.V . - 2024, insges. 34 S. [Online first]
2023
Essay
A scoping review on dynamic networks in supply chains
Rolf, Benjamin; Klementzki, Vanessa; Lang, Sebastian; Jackson, Ilya; Trojahn, Sebastian; Reggelin, Tobias
In: IFAC-PapersOnLine / Internationale Förderung für Automatische Lenkung - Frankfurt : Elsevier, Bd. 56 (2023), Heft 2, S. 203-214
Book chapter
Optimizing the route and location planning for cargo bikes and mobile parcel lockers
Rolf, Benjamin; Kurtz, Gianna; Hempel, Kai; Zadek, Hartmut
In: Smart Energy for Smart Transport , 1st ed. 2023. - Cham : Springer Nature Switzerland ; Nathanail, Eftihia G., S. 1343-1357
Peer-reviewed journal article
Do natural language processing models understand simulations - application of GPT-3 to translate simulation source code to English
Jackson, Ilya; Rolf, Benjamin
In: IFAC-PapersOnLine / Internationale Förderung für Automatische Lenkung - Frankfurt : Elsevier, Bd. 56 (2023), Heft 2, S. 221-226
2022
Book chapter
Planung logistischer Systeme
Glistau, Elke; Trojahn, Sebastian; Dittrich, Ingo; Müller, Marcel; Rolf, Benjamin; Reggelin, Tobias
In: Grundlagen der Logistik - Theorie und Praxis logistischer Systeme , 5., vollständig aktualisierte und erweiterte Auflage - München : huss ; Trojahn, Sebastian *1982-* . - 2022, S. 109-164 [Kapitel 4; Literaturangaben]
Peer-reviewed journal article
Using knowledge graphs and human-centric artificial intelligence for reconfigurable supply chains - a research framework
Rolf, Benjamin; Mebarki, Nasser; Lang, Sebastian; Reggelin, Tobias; Cardin, Olivier; Mouchère, Harold; Dolgui, Alexandre
In: IFAC-PapersOnLine / Internationale Förderung für Automatische Lenkung - Frankfurt : Elsevier, Bd. 55 (2022), Heft 10, S. 1693-1698 [Konferenz: 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022, Nantes, France, 22-24 June 2022]
A review on reinforcement learning algorithms and applications in supply chain management
Rolf, Benjamin; Jackson, Ilya; Müller, Marcel; Lang, Sebastian; Reggelin, Tobias; Ivanov, Dmitry
In: International journal of production research - London [u.a.] : Taylor & Francis, Bd. 60 (2022), insges. 30 S. [Published online: 03. Nov. 2022]
Article in conference proceedings
The smaller, the better? - nano-hubs for cycle logistics as an urban-friendly alternative to micro-hubs - Je kleiner, desto besser? - Nano-Depots als stadtverträgliche Alternative zu Mikro-Depots in der Radlogistik
Kania, Malte; Rolf, Benjamin; Assmann, Tom; Zadek, Hartmut
In: Logistics journal / Proceedings - Stuttgart : WGTL . - 2022, insges. 12 S. [Tagung: 18. Fachkolloquium, Universität Bremen]
Developing a decision support system for integrated decision-making in purchasing and scheduling under lead time uncertainty
Rolf, Benjamin; Reggelin, Tobias; Lang, Sebastian; Galka, Stefan
In: Proceedings of the 55th Annual Hawaii International Conference on System Sciences , 2022 - Honolulu, HI : Department of IT Management, Shidler College of Business, University of Hawaii at Manoa ; Bui, Tung X., S. 1964-1973 [Konferenz: 55th Hawaii International Conference on System Sciences, HICSS55, online, 2022]
2021
Book chapter
Simulationsmodell mit 3D-Animation zur schnellen Bewertung von Ablaufplänen in der Produktion - Simulation model with 3D animation for quick evaluation of production schedules
Rolf, Benjamin; Reggelin, Tobias; Lang, Sebastian; Müller, Marcel; Prehm, Johann
In: Simulation in Produktion und Logistik 2021 , 1. Auflage - Göttingen : Cuvillier Verlag ; Franke, Jörg *1964-*, S. 207-216 [Tagung: 19. ASIM-Fachtagung Simulation in Produktion und Logistik, Erlangen, 15. - 17. September 2021; Literaturangaben]
2020
Book chapter
Scheduling jobs in a two-stage hybrid flow shop with a simulation-based genetic algorithm and standard dispatching rules
Rolf, Benjamin; Reggelin, Tobias; Nahhas, Abdulrahman; Müller, Marcel; Lang, Sebastian
In: IEEE Xplore digital library / Institute of Electrical and Electronics Engineers - New York, NY : IEEE . - 2020, S. 1584-1595 [Konferenz: 2020 Winter Simulation Conference (WSC), first virtual Winter Simulation Conference December 14-18, 2020.]
Peer-reviewed journal article
Assigning dispatching rules using a genetic algorithm to solve a hybrid flow shop scheduling problem
Rolf, Benjamin; Reggelin, Tobias; Nahhas, Abdulrahman; Lang, Sebastian; Müller, Marcel
In: Procedia manufacturing - Amsterdam [u.a.] : Elsevier, Bd. 42 (2020), S. 442-449 [Konferenz: International conference on Industry 4.0 and Smart Manufacturing (ISM 2019)]