Büttner, D.: A reference model for quantitative Sales Planning within Supply Chain Planning. Series "Fortschritte in der IT in Produktion und Logistik", Vol 6. Göttingen: Cuvillier 2023. Details.

Sohny, T.: Referenzmodell basierend auf der Wertstrommethode zur Bewertung von automatisierten Materialflusssystemen der Produktion in der Angebotsphase. Series "Fortschritte in der IT in Produktion und Logistik", Vol 5. Göttingen: Cuvillier 2023. Details.

Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022. Details.

Ammouriova, M.: Approaches to Enhance the Performance of Simheuristic Methods in the Optimisation of Multi-echelon Logistics Distribution Networks. Series "Fortschritte in der IT in Produktion und Logistik", Vol 3. Göttingen: Cuvillier 2021. Details.

Deininger, M.: Modellierungsmethode für die simulationsbasierte Optimierung rekonfigurierbarer Produktionssysteme. Series "Fortschritte in der IT in Produktion und Logistik", Vol 2. Göttingen: Cuvillier 2019. Details.

Scheidler, A.A.: Methode zur Erschließung von Wissen aus Datenmustern in Supply-Chain-Datenbanken. Series "Fortschritte in der IT in Produktion und Logistik", Vol 1. Göttingen: Cuvillier 2017. Details.

Rabe, M.; von Viebahn, C.; Straßburger, S.; Wenzel, S.: (eds.) Energy-related Material Flow Simulation in Production and Logistics. Cham: Springer International, 2024. Details.

Juan, A.A.; Rabe, M.; Goldsman, D.; Faulin, J. (eds.): Simulation-Optimization in Logistics, Transportation, and SCM. Basel: mpdi 2023.

Gutenschwager, K.; Rabe, M.; Spieckermann, S.; Wenzel, S.: Simulation in Produktion und Logistik - Grundlagen und Anwendungen. Berlin: Springer Vieweg, 2017. Details.

Rabe, M.; Clausen, U. (eds.): Simulation in Production and Logistics 2015. Stuttgart: Fraunhofer Verlag 2015.

Gutenschwager, K.; Rabe, M.; Kuhl, M,; Chicaiza-Vaca: J.L.: Retail. In: Rabe, M.; von Viebahn, C.; Straßburger, S.; Wenzel, S. (eds.): Energy-related Material Flow Simulation in Production and Logistics. Cham: Springer International, 2024, pp. 117-140. Details.

Rabe, M.; Chicaiza-Vaca, J.L.; Gonzalez-Feliu, J.: The Deployment of Automated Parcel Lockers in Urban Logistics: Notions, Planning Principles, and Applications. In; Polat, O.; Gülhan, G, (eds.): Theories and Practices for Sustainable Urban Logistics. IGI Global 2024, pp. 65-86. Details.

Rabe, M.; Stoldt, J.; Straßburger, S.; Viebahn, C.: Classification, Input Data, and Key Performance Indicators In: Rabe, M.; von Viebahn, C.; Straßburger, S.; Wenzel, S.: Energy-related Material Flow Simulation in Production and Logistics. Cham: Springer International, 2024,S. 3-23. Details.

Poeting, M.; Klüter, A.; Rabe, M.: Evaluating the Benefits of Collaborative Distribution with Supply Chain Simulation. In: Aktas, E.; Bourlakis, M. (eds.): Food Supply Chains in Cities: Modern Tools for Circularity and Sustainability. Cham: Palgrave Macmillon 2020, pp. 69-100.

Rabe, M.; Goldsman, D.: Decision Making Using Simulation Methods in Sustainable Transportation. In: Faulin, J.; Grasman, S. E.; Juan, A. A.; Hirsch, P. (eds.): Sustainable Transportation and Smart Logistics: Decision-making Models and Solutions. Amsterdam: Elsevier 2019, pp. 305-333.

Rabe, M,; Schmitt, D.; Klüter, A.; Hunker, J.: Decoupling the Modeling of Actions in Logistics Networks from the Underlying Simulation Data Model. In: Clausen, U.;.Langkau, S.; Kreuz, F.: (eds.): Advances in Production, Logistics and Traffic. Proceedings of the 4th Interdisciplinary Conference on Production Logistics and Traffic (ICPLT) 2019. Cham: Springer Nature Switzerland, pp. 32-44. Details.

Spieckermann, S.; Rabe, M.: SimChain and e-SAVE. In: Kunze, R.; Fichtner, W. (eds.): Einsatz von OR-Verfahren zur Analyse von Fragestellungen im Umweltbereich. Proceedings Workshop GOR working group "OR im Umweltschutz", March 7th/8th, 2013 in Karlsruhe. Aachen: Shaker 2014, pp. 35-45.

Gocev, P.; Rabe, M.: Graphical Layout Planning Module within a Semantic Web Framework for Modelling and Simulation. In: Zülch, G.; Stock, P. (eds.): Integrationsaspekte der Simulation: Technik, Organisation und Personal. Karlsruhe: KIT Scientific Publishing 2010, pp. 535-542.

Mutzke, H.; Rabe, M.; Wiener, K.: Geschäftsprozesssimulation - Ergebnisse aus einem VDI-Richtlinienausschuss. In: Zülch, G.; Stock, P. (eds.): Integrationsaspekte der Simulation: Technik, Organisation und Personal. Karlsruhe: KIT Scientific Publishing 2010, pp. 551-558.

Gutenschwager, K.; Chicaiza Vaca, J.L.; Rabe, M.: Comparing Direct Deliveries and Automated Parcel Locker Systems with Respect to Overall CO2 Emissions for the Last Mile. Algorithms 17 (2024) 4, DOI: 10.3390/a17010004. Details.

Arora, S.-J.; Rabe, M.: Approach to Reference Models for Building Performance Simulation: Establishing a common Understanding. Springer Nature Computer Science 4(2023) article 267. Details.

Arora, S.-J.: Rabe, M.: Predictive Maintenance: Assessment of Potentials for Residential Heating Systems. International Journal Computer Integrated Manufacturing; 2023, DOI: 10.1080/0951192X.2023.2204471. Details.

Rabe, M.; Ammouriova, M.; Panadero, J.; Peidro, D.; Riera, D.; Juan, A.A.: Fuzzy Simheuristics in Logistics and Transportation: Dealing with Stochastic and Fuzzy Uncertainty. Algorithms 16 (2023) 570. Details.

Rabe, M.; Ammouriova, M.; Schmitt, D.; Dross, F.: Simheuristics Approaches for Efficient Decision-Making Support in Materials Trading Networks. Algorithms 14(2021), article 23. Details.

Rabe, M.;Jesus Gonzalez-Feliu, J.; Chicaiza-Vaca, J.; Tordecilla, R. D.:Simulation-Optimization Approach for Multi-Period Facility Location Problems with Forecasted and Random Demands in a Last-Mile Logistics Application. Algorithms 14(2021), 14, Artikel 41. Details.

Rabe, M.; Deininger, M.; Juan, A.A.: Speeding Up Computational Times in Simheuristics Combining Genetic Algorithms with Discrete-event Simulation. Simulation Modelling Practice and Theory 103(2020) September, article 102089. Details.

Rabe, M.; Klüter, A.; Raps, J.: Evaluating Different Distance Metrics for Calculating Distances of Last Mile Deliveries in Urban Areas for Integration into Supply Chain Simulation. Journal of Simulation 14(2020)1, S. 41-52.

Scheidler, A.A.; Rabe, M.: Integral Verification and Validation for Knowledge Discovery Procedure Models. International Journal of Business Intelligence and Data Mining 18 (2021) 1, pp. 73-87, DOI: 10.1504/IJBIDM.2019.10015983. Details.

Juan, A. A.; Faulin, J.; Grasman, S. E.; Rabe, M.; Figueira, G.: A Review of Simheuristics: Extending Metaheuristics to Deal with Stochastic Combinatorial Optimization Problems. Operations Research Perspectives 2 (2015) 1, pp. 62-72.

Rabe, M.; Sari, M. U.; Fechteler, T.; Ruini, L. F.: Discrete Event Simulation as a Strategic Decision Instrument for a CO2- and Cost-efficient Distribution Chain Applied in the FMCG Sector. International Journal of Advanced Logistics 4 (2015) 1, pp. 47-53.

Rabe, M.; Deininger, M.: State of Art and Research Demands for Simulation Modeling of Green Supply Chains. International Journal of Automation Technology 6 (2012) 3, pp. 296-303.

Rabe, M., Kilic, E.:. Framing the Digital Business Process Twin: From a Holistic Maturity Model to a Specific and Substantial Use Case in the Automotive Industry. In: De Weerdt, J.; Pufahl, L. (Hrsg.) Business Process Management Workshops BPM 2023. Cham: Springer 2024., pp. 353-364. Details.

Kiefer, M.; Maaßen, J.; Klima, T.; Rabe, M.: Simulation-based Analysis of a Value Stream as a Contribution to Sustainable Production and Logistics Systems of SMEs. In: Bergmann, S.; Feldkamp, N.; Souren, Rainer (eds.): Simulation in Produktion und Logistik 2023. Ilmenau: Universitätsverlag Ilmenau 2023, pp.293-302. Details.

Körsgen, H., Rabe, M.: Blockchain Subnets for Track & Trace within the Logistics System Landscape. In: Terzi, S.; Madani, K.; Gusikhin, O.; Panetto, H. (eds.): Innovative Intelligent Industrial Production and Logistics. Cham: Springer Nature 2023, pp. 165-181. Details.

Langenbach, K.; Rabe, M.: Approach for Verification and Validation Automation Based on Procedure Models for Simulation. In: Corlu, C.G.; Hunter, S.R.; Lam, H.; Onggo, S.; Shortle, J.; Biller, B. (eds.): Proceedings of the Winter Simulation Conference 2023. Piscataway,NJ: IEEE 2023, pp. 1665-1675. Details.

Langenbach, K.; Scheidler, A. A.; Rabe, M.. Automatisierungspotenzial von Verifikations- und Validierungstechniken in der ereignisdiskreten Simulation. In: Bergmann, S.; Feldkamp, N.; Souren, Rainer (eds.): Simulation in Produktion und Logistik 2023. Ilmenau: Universitätsverlag Ilmenau 2023, pp.473-482. Details.

Taylor, S.J.E.; Macal, C.M.; Matta, A.; Rabe, M.; Sanchez,S.M.; Shao, G.: Enhancing Digital Twins with Advances in Simulation and Artificial Intelligence: Opportunities and Challenges. In: Corlu, C.G.; Hunter, S.R..; Lam, H.; Onggo, B.S.; Shortle, J.; Biller, B. (eds.): Proceedings of the 2023 Winter Simulation Conference. Piscataway, NJ: IEEE 2023, pp. 3296-3310. Details.

Wuttke, A.; Hunker,J,; Rabe, M.; Diepenbrock, J.-P.: Estimating Parameters with Data Farming for Condition-based Maintenance in a Digital Twin. In: Corlu, C.G.; Hunter, S.R.; Lam, H.; Onggo, S.; Shortle, J.; Biller, B. (eds.): Proceedings of the Winter Simulation Conference 2023. Piscataway, NJ: IEEE 2023, pp. 1641-1652. Details.

Arora, S.-J.; Cecolini; C.; Rabe, M.: Approach to Reference Models for Building Performance Simulation. In: Pires, L.F.; Hammoudi, S.; Seidewitz, E. (eds.): Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development (MODELSWARD) 2022. Virtual Conference, 6th-8th February 2022, pp. 271-278. Details.

Christiansen-Lenger, S.P.; Rabe, M.: Literaturbasierte Untersuchung der Data-driven-Prozessmerkmale im Anwendungsfeld der Produktion. In: Proceedings 26. Symposium Simulationstechnik, Wien, 25th-27th July 2022, pp. 9-14. Details.

Hochkamp, F.; Rabe. M.: Outlier Detection in Data Mining: Exclusion of Errors or Loss of Information? In Proceedings Hamburg International Conference of Logistics 2022, Hamburg, 20th-23rd September 2022, pp. 91-117. Details.

Hunker, J.; Scheidler, A.-A.; Rabe, M.; van der Valk, H.: A New Data Farming Procedure Model for a Farming-for-Mining Method in Logistics Networks. In: Feng, B.; Pedrielli, G.; Peng Y.; Shashaani, S.; Song, E.; Corlu, C.G.; Lee, L.H.; Chew, E.P.; Roeder, T.; Lendermann, P. (eds.): Proceedings of the 2022 Winter Simulation Conference. Piscataway, NJ: IEEE 2022, pp. 1461-1472. Details.

Langenbach, K.; Scheidler, A.-A.; Rabe, M.: Untersuchung der anwendungsspezifischen Verifikation- und Validierungstechniken unter Berücksichtigung einer veränderten Datenlage. In: Proceedings Kurzbeiträge ASIM Symposium Simulationstechnik, Wien, 25th-27th July 2022, p. 81-84. Details.

Rabe, M.; Kilic, E.: Concept of a Business-process-related Digital Twin Based on Systems Theory and Operational Excellence. In Proceedings 28th IEEE ICE/ITMC Conference, Nancy, 19th-23rd June 2022, pp. 233-241. Details.

Rabe, M.; Kilic, E.: Towards a Paradigm Shift in Vehicle Project Management: From a Traditional Multi-project-management to an Integrated Process-based Digital Approach. Procedia Computer Science 219 (2023) 362-369. Details.

Stadler, F.; Rabe, M.; Modeling of Intralogistic Processes for the Implementation of Warehouse Management Systems. In: Pires, L.F.; Hammoudi, S.; Seidewitz, E. (eds.): Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development (MODELSWARD) 2022. Virtual Conference, 6th-8th February 2022, pp. 271-278. Details.

van der Valk, H.; Winkelmann, S.; Ramge, F.; Hunker, J.; Langenbach, K.; Rabe, M.: Characteristics of Simulation. A Meta-Review of Modern Simulation Applications. In: Feng, B.; Pedrielli, G.; Peng Y.; Shashaani, S.; Song, E.; Corlu, C.G.; Lee, L.H.; Chew, E.P.; Roeder, T.; Lendermann, P. (eds.): Proceedings of the 2022 Winter Simulation Conference. IEEE, Piscataway, NJ 2022, pp. 2558-2569. Details.

Wuttke, A.; Hunker, J.; Scheidler, A. A.; Rabe, M.: Synthetic Demand Generation with Seasonality for Data Mining on a Data-Farmed Data Basis of a Two-Echelon Supply Chain. Procedia Computer Science 204 (2022), pp. 226-234 Details.

Arora,S.-J.; Ebbecke, C.;Rabe, M.; Fisch. J.: Methodology for the Assessment of Potentials, Selection, and Design of Predictive Maintenance Solutions. Procedia CIRP 104 (2021) 708-713. Details.

Büttner, D.; Rabe, M.: Sales Forecasting in the Electrical Industry - An Illustrative Comparison of Time Series and Machine Learning Approaches. 7th International Conference on Innovation and Industrial Logistics, Macao, 9th-11th August 2021, pp. 69-78. Details.

Büttner, D.; Scheidler, A. A.; Rabe, M.: A Reference Model for Data-driven Sales Planning in Distribution Systems: Development of the Model's Framework and Functionality. Hamburg International Conference on Logistics, 21.24. September 2021, Hamburg, pp. 441-476. Details.

Hunker, J.: Farming for Mining: Combining Data Farming and Data Mining to Gain Knowledge in Supply Chains. In: Kim, S.; Feng, B.; Smith, K.; Masoud, S.; Zheng, Z.; Szabo, C.; Loper, M.: (eds,): Proceedings of the 2021 Winter Simulation Conference. Piscataway: IEEE 2021. Details.

Hunker, J.; Wuttke, A.; Scheidler, A. A.; Rabe, M.: A Farming-for-mining Framework to Gain Knowledge in Supply Chains. In: Kim, S.; Feng, B.; Smith, K.; Masoud, S.; Zheng, Z.; Szabo, C.; Loper, M.: (eds,): Proceedings of the 2021 Winter Simulation Conference. Piscataway: IEEE 2021, DOI 10.1109/WSC52266.2021.9715372. Details.

Rabe, M.; Ammouriova, M.: Utilising Relations between Actions to Improve the Performance of Optimisation Procedures for Distribution Networks. In Franke, J.; Schuderer, P. (eds.): Simulation in Produktion und Logistik 2021. Göttingen: Cuvillier 2021, pp. 227-236.. Details.

Rabe, M.; Tordecilla, R. D.; do C. Martins, L.; Chicaiza-Vaca, J.; Juan, A. A.: Supporting Hospital Logistics During the First Months of the COVID-19 Crisis: A Simheuristic for the Stochastic Team Orienteering Problem. In: Kim, S.; Feng, B.; Smith, K.; Masoud, S.; Zheng, Z.; Szabo, C.; Loper, M.: (eds,): Proceedings of the 2021 Winter Simulation Conference. Piscataway: IEEE 2021, DOI 10.1109/WSC52266.2021.9715337. Details.

Rabe, M.; Wincheringer, W. Sohny, T.: Reference Model for the Value-stream-based Simulation of Discontinuous Conveyors in the Rough Planning Phase of Production Systems. In Franke, J.; Schuderer, P. (eds.): Simulation in Produktion und Logistik 2021. Göttingen: Cuvillier 2021, pp. 123-132.. Details.

Serrano-Hernandez, A.: Martinez-Abad, S.; Ballano, A.; Faulin, J.; Rabe, M.; Chicaiza-Vaca, J.: A Case Study in Pamplona (Spain): In: Kim, S.; Feng, B.; Smith, K.; Masoud, S.; Zheng, Z.; Szabo, C.; Loper, M.: (eds,): Proceedings of the 2021 Winter Simulation Conference. Piscataway: IEEE 2021, DOI 10.1109/WSC52266.2021.9715335. Details.

Stoldt, J.; Prell, B.; Rabe, M.; Wenzel, S.; Thiede, S.: A Criteria-based Database for Research and Applications of Energy-oriented Simulation in Production and Logistics. In: Franke, J.; Schuderer, P. (eds.): Simulation in Produktion und Logistik 2021. Göttingen: Cuvillier 2021, pp. 94-102.. Details.

Hunker, J.; Scheidler, A. A.; Rabe, M.: A Systematic Classification of Database Solutions for Data Mining to Support Tasks in Supply Chains. In: Kersten, W.; Blecker, T.; Ringle, C. M.: (eds.): Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Logistics (HICL) Hamburg, 24.-25. September 2020. Berlin: epubli GmbH, pp. 395-425. Details.

Rabe, M.; Ammouriova, M.; Constructing Action Plans Based on Correlation Between Sequential Actions and Their Performance in a Logistics Distribution Network. In: 13th International Conference of Research in Logistics and Supply Chain Management (RIRL), 7.-9. Oktober 2020

Rabe, M.; Chicaiza-Vaca, J.: Concept for a Simulation-Optimization Procedure Model for Automated Parcel Lockers as an Urban Logistics Solution: A Case Study in the City of Dortmund. In: 13th International Conference of Research in Logistics and Supply Chain Management (RIRL), 7.-9. Oktober 2020

Rabe, M.; Chicaiza-Vaca, J.; Tordecilla, R. D.; Juan, A. A.: A Simulation-Optimization Approach for Locating Automated Parcel Lockers in Urban Logistics Operations. In: Bae, K.-H.; Feng, B.; Kim, S.; Lazarova-Molnar, S.; Zheng, Z.; Roeder, T.; Thiesing, R. (Hrsg.): Proceedings of the 2020 Winter Simulation Conference. Picataway: IEEE 2020, pp. 1230-1241. Details.

Rabe, M.; Sohny, T.: Reference Model Based on Value Stream Simulation for the Evaluation of Production Systems with Complex Material Flows in the Bidding Phase. In: 13th International Conference of Research in Logistics and Supply Chain Management (RIRL), 7.-9. Oktober 2020

Rabe, M.; Wincheringer, W.; Sohny, T.: Referenzmodell basierend auf Wertstromsimulation zur Bewertung von Produktionssystemen in der Angebotsphase. Proceedings 25. Symposium Simulationstechnik, Online Conference, 14-15 October 2020, pp. 373-380. Details.

van der Valk, H.; Hunker, J.; Rabe, M.; Otto, B.: Digital Twins in Simulative Applications: A Taxonomy. In: Bae, K.-H.; Feng, B.; Kim, S.; Lazarova-Molnar, S.; Zheng, Z.; Roeder, T.; Thiesing, R. (eds.): Proceedings of the 2020 Winter Simulation Conference. Picataway: IEEE 2020, pp. 2695-2706. Details.

Poeting, M.; Prell, B.; Rabe, M:, Uhlig, t:, Wenzel, S.: Considering Energy in the Simulation of Logistics Systems. In: Mustafee, N.; Bae, K.-H.: Lazarova-Molnar, S.; Rabe, M.; Szabo, C.; Haas, P.; Son, Y.-S., (eds.): Proceedings of the 2019 Winter Simulation Conference. Picataway: IEEE 2019, pp. 1849-1858. Details.

Rabe, M. Ammouriova, M.; Schmitt, D.; Chicaiza-Vaca, J.: An Approach for Reducing the Search Space for Simheuristics Applications in Logistics Networks in Trading. In: Putz, M.; Schlegel, A. (eds.): Simulation in Produktion und Logistik 2019. Auerbach: Verlag Wissenschaftliche Skripten 2019, pp. 335-344. Details.

Rabe, M.; Klüter, A.; Juan, A. A.; Bayliss, C.; Panadero, J.: Using Simheuristics for Supporting Risk-aware Decision Making in Transport and Logistics under Uncertainty Scenarios. In: Putz, M.; Schlegel, A. (eds.): Simulation in Produktion und Logistik 2019. Auerbach: Verlag Wissenschaftliche Skripten 2019, pp. 499-508. Details.

Rabe, M.; Schmitt, D.: Domain-specific Language for Modeling and Simulating Actions in Logistics Networks. In: Mustafee, N.; Bae, K.-H.: Lazarova-Molnar, S.; Rabe, M.; Szabo, C.; Haas, P.; Son, Y.-S., (eds.): Proceedings of the 2019 Winter Simulation Conference. Picataway: IEEE 2019, pp. 1579-1590. Details.

Gutenschwager, K.; Rabe, M.; Theile, M.; Wilhelm, B.: Comparison of Approaches to Encrypt Data for Supply Chain Simulation Applications in Cloud Environments. In: Rabe, M,; Juan, A.A.; Mustafee, N.; Skoogh, A.; Jain, S.; Johansson, B. (eds.): Proceedings of the 2018 Winter Simulation Conference. Picataway: IEEE 2018, pp. 3084-3095. Details.

Rabe, M.; Ammouriova, M., Schmitt, D.: Utilizing Domain-specific Information for the Optimization of Logistics Networks. In: Rabe, M,; Juan, A.A.; Mustafee, N.; Skoogh, A.; Jain, S.; Johansson, B. (eds.): Proceedings of the 2018 Winter Simulation Conference. Picataway: IEEE 2018, pp. 2873-2884. Details.

Rabe, M.; Klüter, A.; Wuttke, A.: Evaluating the Consolidation of Distribution Flows Using a Discrete Event Supply Chain Simulation Tool: Application to a Case Study in Greece. . In: Rabe, M,; Juan, A.A.; Mustafee, N.; Skoogh, A.; Jain, S.; Johansson, B. (eds.): Proceedings of the 2018 Winter Simulation Conference. Picataway: IEEE 2018, pp. 2815-2826. Details.

Rabe, M.; Schmitt, D.; Ammouriova, M.: Improving the Performance of a Logistics Assistance System for Materials Trading Networks by Grouping Similar Actions. In: Rabe, M,; Juan, A.A.; Mustafee, N.; Skoogh, A.; Jain, S.; Johansson, B. (eds.): Proceedings of the 2018 Winter Simulation Conference. Picataway: IEEE 2018, pp. 2861-2872. Details.

Taylor, S.J.E.; Eldabi, T.; Monks, T.; Rabe, M.; Uhrmacher, A.M.: Crisis, What Crisis - Does Reproducibility in Modeling & Simulation Really Matter? In: Rabe, M,; Juan, A.A.; Mustafee, N.; Skoogh, A.; Jain, S.; Johansson, B. (Hrsg.): Proceedings of the 2018 Winter Simulation Conference. Picataway: IEEE 2018, pp. 749-762. Details.

Gruler, A.; Juan, A.A.; Klüter, A.; Rabe, M.: A Simulation-Optimization Approach for the Two-Echelon Location Routing Problem Arising in the Creation of Urban Consolidation Centres. In: Wenzel, S.; Peter, T. (eds.): Simulation in Produktion und Logistik 2017. Kassel: kassel university press 2017, pp. 129-138.

Gruler, A.; Panadero, J.; de Armas, J.; Moreno Pérez, J.A.; Rabe, M.: A Simulation-Optimization Approach for the Single-Period Inventory Routing Problem with Stochastic Demands: A Statistical-based Approach. In: Duarte, A.; Juan, A.A.; Mélian, B.; Ramalhinho, H. (eds.): Metaheuristics: Proceeding of the MIC and MAEB 2017 Conferences, Barcelona, July 4th-7th, 2017, pp. 762-764.

Rabe, M.; Deininger, M.; Juan, A.A.: Setting the Number of Simulation Runs in a Simheuristic Algorithm: A statistical-based approach. In: Duarte, A.; Juan, A.A.; Mélian, B.; Ramalhinho, H. (eds.): Metaheuristics: Proceeding of the MIC and MAEB 2017 Conferences, Barcelona, July 4th-7th, 2017, pp. 402-410.

Rabe, M.; Dross, F.; Schmitt, D.; Ammouriova, M.; Ipsen, C.: Decision Support for Logistics Networks in Materials Trading Using a Simheuristic Framework and User-generated Action Types. In: Wenzel, S.; Peter, T. (eds.): Simulation in Produktion und Logistik 2017. Kassel: kassel university press 2017, pp. 109-118. Details.

Rabe, M.; Dross, F.; Wuttke, A: Combining a Discrete-event Simulation Model of a Logistics Network with Deep Reinforcement Learning. In: Duarte, A.; Juan, A.A.; Mélian, B.; Ramalhinho, H. (eds.): Metaheuristics: Proceeding of the MIC and MAEB 2017 Conferences, Barcelona, July 4th-7th, 2017, pp. 765-774. Details.

Rabe, M.; Klueter, A.; Tietze, S.: Comparing Different Distance Metrics for Calculating Distances in Urban Areas with a Supply Chain Simulation Tool. In: Wenzel, S.; Peter, T. (eds.): Simulation in Produktion und Logistik 2017. Kassel: kassel university press 2017, pp. 119-128. Details.

Rabe, M.; Schmitt, D., Dross, F.: Method to Model Actions for Discrete-event Simulations of Logistics Networks. In: Chan, W.K.V.; D'Ambrogio, A.; Zacharewicz,G.; Mustafee,N.; Wainer, G.; Page, E (eds.): Proceedings of the 2017 Winter Simulation Conference. Picataway: IEEE 2017, pp. 3370-3381. Details.

Wenzel, S.; Peter, T.; Stoldt, J.; Schlegel, A.; Groß, G.; Pitsch, H.; Rabe, M.; Seewaldt, M.: Betrachtungen energetischer Einflussfaktoren in der Simulation in Produktion und Logistik: Eine Literaturanalyse. In: Wenzel, S.; Peter, T. (eds.): Simulation in Produktion und Logistik 2017. Kassel: kassel university press 2017, pp. 9-18. Details.

Cheng, R.; Macal, C.; Nelson, B.; Rabe, M.; Currie, C.; Fowler, J.; Lee, L. H.: Simulation: The Past 10 Years and the Next 10 Years. In: Roeder, T. M. K.; Frazier, P. I.; Szechtman, R.; Zhou, E.; Huschka, T.; Chick, S. E. (Hrsg.): Proceedings of the 2016 Winter Simulation Conference, Arlington (VA). IEEE 2016, pp. 2180-2192. Details.

Rabe, M.; Klueter, A.; Clausen, U.; Pöting, M.: An Approach for Modeling Collaborative Route Planning in Supply Chain Simulation. In: Roeder, T. M. K.; Frazier, P. I.; Szechtman, R.; Zhou, E. ; Huschka, T.; Chick, S. E. (eds.): Proceedings of the 2016 Winter Simulation Conference. Piscatway: IEEE 2016, pp. 2228-2238. Details.

Uhrmacher, A.; Brailsford, S.; Liu, J.; Rabe, M.; Tolk, A.: Panel - Reproducible Research in Discrete Event Simulation - A Must or Rather a Maybe? In: Roeder, T. M. K.; Frazier, P. I.; Szechtman, R.; Zhou, E.; Huschka, T.; Chick, S. E. (eds.): Proceedings of the 2016 Winter Simulation Conference. Piscataway: IEEE 2016, pp. 1301-1315. Details.

Pfeilsticker, L.; Juan, A. A.; Rabe, M.: Development of a Simheuristic Approach for Solving Realistic Inventory Routing Problems. In: Rabe, M.; Clausen, U. (eds.): Simulation in Production and Logistics 2015. Stuttgart: Fraunhofer Verlag 2015, pp. 60-68.

Rabe, M.; Deininger, M.: Discrete Event Simulation of Modular Production System Models using Petri Nets. In: Rabe, M.; Clausen, U. (eds.): Simulation in Production and Logistics 2015. Stuttgart: Fraunhofer Verlag 2015, pp. 388-396.

Rabe, M.; Deininger, M.; Scheidler, A. A.: Verification of Petri-Net-based Simulation Models Using Coverage Metrics. SIGSIM-PADS'15, London, June 10th-12th, 2015, pp. 247-255. Details.

Rabe, M.; Dross, F.: A Reinforcement Learning Approach for a Decision Support System for Logistics Networks. In: Yilmaz, L.; Chan, W. K. V.; Moon, I.; Roeder, T. M. K.; Macal, C.; Rossetti, M. D. (eds.): Proceedings of the 2015 Winter Simulation Conference. Piscataway: IEEE 2015, pp. 2020-2032. Details.

Rabe, M.; Dross, F.; Vennemann, A.: A Procedure Model for the Credible Measurability of Data Warehouse Metrics on Discrete-event Simulation Models of Logistics Systems. In: Rabe, M.; Clausen, U. (eds.): Simulation in Production and Logistics 2015. Stuttgart: Fraunhofer Verlag 2015, pp. 168-176.

Rabe, M.; Scheidler, A.A.: Farming for Mining - Entscheidungsunterstützung mittels Simulation im Supply Chain Management. In: Rabe, M.; Clausen, U. (eds.): Simulation in Production and Logistics 2015. Stuttgart: Fraunhofer Verlag 2015, pp. 671-679.

Dross, F.; Rabe, M.: A SimHeuristic Framework as a Decision Support System for Large Logistics Networks with Complex KPIs. 22th Symposium Simulationstechnik, September 3rd-5th, 2014, Berlin, pp. 247-254.

Rabe, M.; Scheidler, A.A.: An Approach for Increasing the Level of Accuracy in Supply Chain Simulation by Using Patterns on Input Data. In: Tolk, A.; Diallo, S.Y.; Ryzhov, I.O.; Yilmaz, L.; Buckley, S.; Miller, J.A. (eds.): Proceedings of the 2014 Winter Simulation Conference. Piscataway: IEEE 2014, pp. 1897-1906. Details.

Juan, A. A.; Rabe, M.: Combining Simulation with Heuristics to Solve Stochastic Routing and Scheduling Problems. In: Dangelmaier, W.; Laroque, C.; Klaas, A. (eds.): Simulation in Produktion und Logistik - Entscheidungsunterstützung von der Planung bis zur Steuerung. Paderborn: HNI-Verlagsschriftenreihe 2013, pp. 641-649.

Rabe, M.; Deininger, M.: Fabrikmodelle für Job-Shop-Scheduling-Algorithmen in Changing-Steady-State-Systemen. In: Dangelmaier, W.; Laroque, C.; Klaas, A. (eds.): Simulation in Produktion und Logistik - Entscheidungsunterstützung von der Planung bis zur Steuerung. Paderborn: HNI-Verlagsschriftenreihe 2013, pp. 579-589.

Rabe, M.; Gutenschwager, K.; Fechteler, T.; Sari, U.: A Data Model for Carbon Footprint Simulation in Consumer Goods Supply Chains. In: Pasupathy, R.; Kim, S.-H.; Tolk, A.; Hill, R.; Kuhl, M.E. (eds.): Proceedings of the 2013 Winter Simulation Conference. Piscatay: IEEE 2013, pp. 2677-2688. Details.

Rabe, M.; Gocev, P.: Applying Semantic Web Technologies for Efficient Preparation of Simulation Studies in Manufacturing. In: Laroque, C; Himmelspach, J; Pasupathy, R.; Rose, O. and Uhrmacher, A.M. (eds.) Proceedings of the 2012 Winter Simulation Conference. Piscataway: IEEE 2012, pp. 2936-2047. Details.

Rabe, M.; Spieckermann, S.; Horvath, A.; Fechteler, T.: An Approach for Increasing Flexibility in Green Supply Chains Driven by Simulation. In: Laroque, C; Himmelspach, J; Pasupathy, R.; Rose, O. and Uhrmacher, A.M. (eds.) Proceedings of the 2012 Winter Simulation Conference. Piscataway: IEEE 2012, pp. 3144-3155. Details.

Mertins, K,; Rabe, M.; Schallock, B.: Innovative Production Control bBsed on Decentralized Intelligence. In: Proceedings of the International Conference on Advances in Production Management Systems (APMS), 11.-13. Oktober 2010, Cernobbio (Italy). CD-Publikation w/o page numbers.

Rabe, M.; Jaekel, F.-W.; Weinaug, H.: Simulation of Sustainability Aspects within the Industrial Environment and their Implication on the Simulation Technique. In: Dassisti, M. (eds.) Environmental protection in the new era - Proceedings of the 4th International Conference on Sustainable & Environmental Protection, Volume 2, SEEP conference, June 6th-July 2nd, 2010, Bari (Italy), pp. 255-262.

Rabe, M.; Jochem, R.; Weinaug, H.: Multi-perspective Modelling of Sustainability Aspects within the Industrial Environment and their Implication on the Simulation Technique. In: Seliger, G.; Marwan, K. K.; Jawahir, I.S. (eds.): Advances in Sustainable Manufacturing. Berlin: Springer, 2011, pp. 313-318.

Arora, S.-J.; Weiss, F.; Bräunig, J.; Erkel, S.; Mensing, M.; Wilde, A.: Smarte HeizungsANIaGenOptimierung - ögP SHANGO. Methodik und erste Ergebnisse. In: 32. VDI-Fachtagung Technische Zuverlässigkeit 2023. Nürtingen, April 26th-27th 2023, pp. 24-38.

Arora, S.-J.: Referenzmodell zur Zuverlässigkeitsprognose von Heizsystemen basierend auf Test- und Felddaten. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 37-38.

Büttner, D.: Referenzmodell für die quantitative Absatzplanung innerhalb der Supply-Chain-Planung. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 41-42.

Christiansen-Lenger, S. P.: Echtzeitfähige datengetriebene Prozesse in Produktion und Logistik. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 35-36.

Hochkamp, F.: Mehrstufige Methode zur Wissensentdeckung in der Domäne der Produktion. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 33-34.

Hunker, J.: Farming for Mining: Simulationsbasierte Wissensentdeckung in Logistischen Assistenzsystemen für Werkstoffhandelsnetzwerke. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 19-20.

Jalali Sousanabady, R.: Methode für AutoML-basierte Lösung von Qualitätssicherungsaufgaben im Bereich diskreter Produktion. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 31-32.

Klima, T.: Analyse des Absatzes im Omni-Channel-Vertrieb durch mit Data Farming ergänzte Daten aus Synthese des Systemverhaltens. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 21-22.

Körsgen, H.: Integrierte Nachverfolgbarkeit - Einbindung in die Unternehmensarchitektur. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 25-26.

Sirovnik, E.: Methode für die Echtzeit-Prognose von Produktionskennzahlen zur multi- kriteriellen Maschinenbelegungsplanung für eine flexible Fließfertigung in der Stahlindustrie. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 27-28.

Sohny, T.: Effiziente Modellierung von Materialflusssystemen in der Angebotsphase durch ein Referenzmodell basierend auf der Wertstrommethode. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 39-41.

Stadler, F.: Modellierungsmethodik für intralogistische Prozesse zur Einführung von Warehouse-Management-Systemen. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 23-24.

Vent, W.: Gestaltungsmethodik für agile Produktionsnetzwerke auf Basis von Simulation und Machine Learning. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 29-30.

Sirovnik, E.; Brandenburger, J.; Rabe, M.: Considering Surface Inspection Results for Multi-objective Production Scheduling in the Dynamic Environment of the Flat Steel Industry, Conference presentation at Surface Inspection Summit SIS.EUROPE 2021, 9th-11th November 2021, Aachen, Germany. Details.

Sirovnik, E.; Schirm, E.C.; Müller, D.; Rabe, M.; Brandenburger, J.; Rajabi, A.; Wolff, A.; Ordieres, J.; Gutierrez, M.; Colla, V.; Iannino, V.; Maddaloni, A.: Implementation of Multi-objective Production Scheduling in the Dynamic Environment of the Flat Steel Industry. 5th European Steel Technology and Application Days (ESTAD), Stockholm, August 30th-September 2nd, 2021. Details.

Chicaiza-Vaca J.; Gonzalez-Feliu, J.; Rabe, M.: Capacity Dynamics of Automated Parcel Lockers as a Last-Mile Delivery Scheme. Journée de Recherche Supply Chain & Innovation, La Rochelle, 27th November 2020. Details.

Rabe, M.; Ammouriova, M.: Optimising Logistics Distribution Networks Utilising Correlation between Actions. 2020 Online Workshop of the Spanish Network of Excellence in Transportation, Online, 10-11 November 2020. Details.

Rabe, M.; Chicaiza-Vaca, J.; González-Feliu, J.: System Behavior for Automated Parcel Lockers as an Urban Logistics Delivery Scheme. The 38th International Conference of the System Dynamics Society, Bergen (Norway), July 19.-23. Juli, 2020.

Rabe, M.; Schmitt, D.; Ammouriova, M.: Utilizing Domain-specific Information in Decision Support for Logistics Networks. 6th International Conference on Dynamics in Logistics, Bremen, 20th-22nd February 2018, w/o page numbers. Details.

Aquino, R.; Baran, B.; Lopez-Pires, F.; Sandoya, F.; Chicaiza, J.: A Novel Multi-Objective Two-Echelon Green Location-Routing Problem from a City Government Perspective. Congreso Internacional de Ciencias de la Computación y Sistemas de Información (CICCSI 2017), Mendoza, (Argentina,) 13-17 November 2017. Details.

Klueter, A.; Rabe, M.: How to Implement Collaborative Tour Planning in a Data-driven Simulation Model. The OR Society Annual Conference OR58, University of Portsmouth, September 6th-8th, 2016, pp. 145-146.

Rabe, M.: Myths and Mysteries of Green Supply Chain Simulation. Keynote, 3rd International Conference on Green Supply Chain, London Campus, Loughborough University, 11 July 2016.

Spieckermann, S.; Rabe, M.: SimChain and e-SAVE. In: Kunze, R.; Fichtner, W. (Hrsg): Einsatz von OR-Verfahren zur Analyse von Fragestellungen im Umweltbereich. Proceedings Workshop GOR Working Group "OR im Umweltschutz", Karlsruhe, June 7th/8th, 2013. Aachen: Shaker 2014, pp. 35-45.

Rose, O.; Uhrmacher, A. M.; Rabe, M.: The Winter Simulation Conference: The Premier Forum on Simulation Practice and Theory. Winter Simulation Conference (WSC) 2012 Online Publication Update. www.wintersim.org.

Glinitzki, S.; Rabe, M.; Mertins, K.: Fabrikplanungsprojekte ergebnisorientiert steuern. In: Spang, K.; Sözüer, M. (eds.): Mit Projektcontrolling zum Projekterfolg. 5. Kasseler Projektmanagement Symposium 2011, Schriftenreihe Projektmanagement Heft 12. Kassel: Universität Kassel, 2011, pp. 203-225.

Rabe, M.; Schlegel, A.; Wenzel, S.: Guest Editorial - Special Issue Simulation in Production and Logistics. Simulation Notes Europe 30 (2020) 4, p. ii

Rabe, M.;Chicaiza-Vaca, J.: A Simulation-Optimization Model of Automated Parcel Lockers on Macro and Micro Planning Levels. In: Mustafee, N.; Bae, K.-H.: Lazarova-Molnar, S.; Rabe, M.; Szabo, C.; Haas, P.; Son, Y.-S., (Hrsg.): Proceedings of the 2019 Winter Simulation Conference, PhD Colloquium. Picataway: IEEE 2019. Details.

Schmitt, D.: Grammar of a Domain-Specific Language for Modeling and Simulating Actions in Wholesale Logistics Networks

Clausen, U.; Rabe, M.; Wenzel, S.: Guest Editorial - Special Issue Simulation in Production and Logistics. Journal of Simulation 11 (2017) 1, p. 1.

Rabe, M.; Dross, F.: Intelligente Entscheidungsunterstützung für Logistiknetzwerke des Werkstoffhandels. Werkstoffe in der Fertigung 5/2016, pp. 24-25.

Wenzel, S.; Rabe, M.; Laroque, C.: Guest Editorial - Special Issue Simulation in Production and Logistics. Journal of Simulation 10 (2016) 2, p. 79.

Juan, A. A.; Rabe, M.; Faulin, J.; Grasman, S.E.: Guest Editorial - Special Issue Simheuristics. Journal of Simulation 9 (2015) 4, pp. 261-262.