Publications and Working Paper

• Maichle, Magnus Josef, Sohom Mukherjee, Kai Günder, Ivane Antonov, Nikolai Stein, und Richard Pibernik. „In-Context Quantile Regression for Multi-Product Inventory Management Using Time-Series Transformers“. In NeurIPS Workshop on Time Series in the Age of Large Models. https://openreview.net/forum?id=PRKY3RW0X5.
• Maichle, Magnus Josef, Nikolai Stein, und Richard Pibernik. „What Can We Learn from LLMs? Building a Foundation Model for Inventory Management“. Available at SSRN 4950340, Mai 2024. https://doi.org/10.2139/ssrn.4950340.
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• Notz, Pascal M, und Richard Pibernik. „Explainable Subgradient Tree Boosting for Prescriptive Analytics in Operations Management“. European Journal of Operational Research 312, Nr. 3 (März 2024): 1119-33. https://doi.org/10.1016/j.ejor.2023.08.037.
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• Maichle, Magnus Josef, Nikolai Stein, Richard Pibernik, und Carlo D’Eramo. „A General-Purpose Deep Reinforcement Learning Approach for Dynamic Inventory Control“. Available at SSRN 4754937, März 2024. https://doi.org/10.2139/ssrn.4754937.
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• Schmidt, Felix G, und Richard Pibernik. „Data-Driven Inventory Control for Large Product Portfolios: A Practical Application of Prescriptive Analytics“. European Journal of Operational Research, Oktober 2024. https://doi.org/10.1016/j.ejor.2024.10.012.
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• Notz, Pascal M., Peter K. Wolf, und Richard Pibernik. „Prescriptive Analytics for a Multi-Shift Staffing Problem“. European Journal of Operational Research 305, Nr. 2 (März 2023): 887-901. https://doi.org/10.1016/j.ejor.2022.06.011.
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• Rottmann, Janine, Kai Günder, und Richard Pibernik. „A Case-Individual Data-Driven Optimization Approach for Surgery Planning“. Under Review at OR Spectrum, 2023.

• Notz, Pascal M., und Richard Pibernik. „Prescriptive Analytics for Flexible Capacity Management“. Management Science 68, Nr. 3 (März 2022): 1756-75. https://doi.org/10.1287/mnsc.2020.3867.
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• Philippi, Andreas, Simone Buttler, und Nikolai Stein. „Ddop: A Python Package for Data-Driven Operations Management“. Journal of Open Source Software 6, Nr. 66 (2021): 3429. https://doi.org/10.21105/joss.03429.
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• Fleischmann, Moritz, Konstantin Kloos, Maryam Nouri-Roozbahani, und Richard Pibernik. „Single-Period Stochastic Demand Fulfillment in Customer Hierarchies“. European Journal of Operational Research 286, Nr. 1 (Oktober 2020): 250-66. https://doi.org/10.1016/j.ejor.2020.03.030.
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• Kloos, Konstantin, und Richard Pibernik. „Allocation Planning under Service-Level Contracts“. European Journal of Operational Research 280, Nr. 1 (2020): 203-18. https://doi.org/10.1016/j.ejor.2019.07.018.
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• Kloos, Konstantin, Richard Pibernik, und Benedikt Schulte. „Allocation Planning in Sales Hierarchies With Stochastic Demand and Service-Level Targets“. OR Spectrum 41, Nr. 4 (1. Dezember 2019): 981-1024. https://doi.org/10.1007/s00291-018-0531-5.
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• Meller, Jan, und Fabian Taigel. „Machine Learning for Inventory Management: Analyzing Two Concepts to Get From Data to Decisions“. Available at SSRN 3256643, November 2019. https://doi.org/10.2139/ssrn.3256643.
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• Lauton, Felix. „A Data-Driven Inventory Policy for Multi-Period, Multi-Product Inventory Planning Problems“.

• Lauton, Felix, Alexander Rothkopf, und Richard Pibernik. „The Value of Entrant Manufacturers: A Study of Competition and Risk for Donor-Funded Procurement of Essential Medicines“. European Journal of Operational Research 272, Nr. 1 (2018): 292-312. https://doi.org/10.1016/j.ejor.2018.06.027.
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• Taigel, Fabian, Jan Meller, und Alexander Rothkopf. „Data-Driven Capacity Management With Machine Learning: A Novel Approach and a Case-Study for a Public Service Office“. In Proceedings of the 2018 INFORMS International Conference on Service Science, 105-15. Springer, 2018. https://doi.org/10.1007/978-3-030-04726-9_11.
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• Taigel, F, A K Tueno, und R Pibernik. „Privacy-Preserving Condition-Based Forecasting Using Machine Learning“. Journal of Business Economics 88, Nr. 5 (Juli 2018): 563-92. https://doi.org/10.1007/s11573-017-0889-x.
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• Goebel, Philipp, Carsten Reuter, Richard Pibernik, Christina Sichtmann, und Lydia Bals. „Purchasing managers’ Willingness to Pay for Attributes That Constitute Sustainability“. Journal of Operations Management 62 (2018): 44-58. https://doi.org/10.1016/j.jom.2018.08.002.
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• Stein, Nikolai, Jan Meller, und Christoph M. Flath. „Big Data on the Shop-Floor: Sensor-Based Decision-Support for Manual Processes“. Journal of Business Economics 88, Nr. 5 (1. Juli 2018): 593-616. https://doi.org/10.1007/s11573-017-0890-4.
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• Schulte, B, und R Pibernik. „Profitability of Service-Level-Based Price Differentiation With Inventory Rationing.“. Production and Operations Management 26, Nr. 5 (2017): 903-23. https://doi.org/10.1111/poms.12677.
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• Ecken, P, und R Pibernik. „Hit-Or-Miss: What Leads Experts to Take Advice for Long Term Judgments“. Management Science 62, Nr. 7 (2016): 2002-21. https://doi.org/10.1287/mnsc.2015.2219.
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• Rothkopf, A, und R Pibernik. „Maverick Buying: Eliminate, Participate, Leverage“. International Journal of Production Economics 179 (2016): 77-89. https://doi.org/10.1016/j.ijpe.2016.05.020.
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• Kurz, Julian. „Capacity Planning for a Maintenance Service Provider With Advanced Information“. European Journal of Operational Research 251, Nr. 2 (2016). https://doi.org/10.1016/j.ejor.2015.11.029.
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• Schulte, B, und R Pibernik. „Service Differentiation in a Single-Period Inventory Model With Numerous Customer Classes“. OR Spectrum 38, Nr. 4 (2016): 921-48. https://doi.org/10.1007/s00291-016-0432-4.
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• Kurz, J, und R Pibernik. „Flexible Capacity Management With Future Information“. Available at ResearchGate. https://doi.org/10.13140/RG.2.2.33976.75529.
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• Goebel, P, R Pibernik, C Sichtmann, und C Reuter. „The Influence of Ethical Culture on Supplier Selection in the Context of Sustainable Sourcing“. International Journal of Production Economics 140, Nr. 1 (2012): 7-17. /brokenurl# www.sciencedirect.com/science/article/pii/S0925527312000783.
• Goebel, P, S Möller, und R Pibernik. „Paying for Convenience: Attractiveness and Market Potential of Time-Based Delivery Services“. International Journal of Physical Distribution and Logistics Management 42, Nr. 6 (2012): 584-606. http://www.emeraldinsight.com/doi/full/10.1108/09600031211250604.
• Rexhausen, D, R Pibernik, und G Kaiser. „Customer-Facing Supply Chain Practices – the Impact of Demand and Distribution Management on Supply Chain Success“. Journal of Operations Management 30, Nr. 4 (2012): 269-81. https://www.sciencedirect.com/science/article/pii/S0272696312000150.
• Samii, A B, R Pibernik, P Yadav, und A Vereecke. „Reservation and Allocation Policies for Influenza Vaccines“. European Journal of Operations Research 222, Nr. 3 (2012): 495-507. http://dblp.uni-trier.de/db/journals/eor/eor222.html#SamiiPYV12.

• Kraiselburd, S, R Pibernik, und A Raman. „The manufacturer’s Incentive to Reduce Lead Times“. Production and Operations Management 20, Nr. 5 (2011): 639-53. http://onlinelibrary.wiley.com/doi/10.1111/j.1937-5956.2010.01192.x/full.
• Pibernik, R, Y Zhang, F Kerschbaum, und A Schröpfer. „Secure Collaborative Supply Chain Planning and Inverse Optimization - The JELS Model“. European Journal of Operational Research 208, Nr. 1 (2011): 75-85. http://dblp.uni-trier.de/db/journals/eor/eor208.html#PibernikZKS11.
• Ecken, P, T Gnatzy, und H von_der_Gracht. „Desirability Bias in Foresight: Consequences for Decision Quality Based on Delphi Results“. Technological Forecasting & Social Change 78, Nr. 9 (2011): 1654-70. https://www.sciencedirect.com/science/article/pii/S0040162511001193.
• Zilli, A, R Pibernik, O Catrina, S De_hoogh, B Schoenmakers, S Cimato, und E Damiani. „Secure Collaborative Supply-Chain Management“. Computer 44, Nr. 9 (2011): 38-43. http://ieeexplore.ieee.org/abstract/document/5959135/?reload=true.
• Samii, A-B, R Pibernik, und P Yadav. „An Inventory Reservation Problem With Nesting and Fill Rate Based Performance Measures“. International Journal of Production Economics 133, Nr. 1 (2011): 393-402. https://www.sciencedirect.com/science/article/pii/S0925527311001708.

• Pibernik, R, und P Yadav. „Dynamic Capacity Reservation and Due Date Quoting in a Make-to-Order System“. Naval Research Logistics 55, Nr. 7 (2009): 593-611. http://onlinelibrary.wiley.com/doi/10.1002/nav.20304/full.
• Schröpfer, A, F Kerschbaum, C Schütz, und R Pibernik. „Optimizations for Risk-Aware Secure Supply Chain Master Planning“. Journal of Universal Computer Science 15, Nr. 15 (2009): 3019-37. http://dblp.uni-trier.de/db/journals/jucs/jucs15.html#SchropferKSP09.
• Groetsch, V, M Henke, und R Pibernik. „The Impact of Performance Measurement on the Recognition of Purchasing and Supply management’s Value Contribution: A Principal-Agent Based Case Study Analysis“. International Journal of Production Economics - Submitted, 2009.
• Pibernik, R, und P Yadav. „Inventory Reservation and Real-Time Order Promising in a Make-to-Stock System“. OR Spectrum 31, Nr. 1 (2009): 281-307. https://link.springer.com/article/10.1007/s00291-007-0121-4.

• Pibernik, R, und E Sucky. „Verhandlungsbasiertes Master Planning in Supply Chains“. DBW Die Betriebswirtschaft 68, Nr. 1 (2008): 85-111. http://search.proquest.com/openview/b68c07546861a963d8ddb76921784ac7/1?pq-origsite=gscholar&cbl=46236.

• Pibernik, R, und E Sucky. „An Approach to Inter Domain Master Planning in Supply Chains“. International Journal of Production Economics 108, Nr. 1 (2007): 200-212. https://www.sciencedirect.com/science/article/pii/S0925527306003185.
• Goentzel, J, L T Manzione, R Pibernik, J Pruett, und B Thiessen. „Strategic Deployment of Specialized Testing and Remanufacturing in a Global High-Tech Supply Chain“. International Journal of Manufacturing Technology and Management 11, Nr. 1 (2007): 28-52. http://www.inderscienceonline.com/doi/abs/10.1504/IJMTM.2007.012445.

• Jacquemin, M, R Pibernik, und E Sucky. Quantitative Methoden in Logistik Und Supply Chain Management. Hamburg, 2006.
• Isermann, H, R Pibernik, und E Sucky. „Leistungsprogrammplanung in Wertschöpfungsnetzwerken – Fundierung, Implikationen, Grenzen“. In Wertschöpfungsnetzwerke, 305-24. Berlin, 2006.
• Pibernik, R, und E Sucky. „Centralised and Decentralised Supply Chain Planning“. International Journal of Integrated Supply Management 2, Nr. 1 (2006): 6-27. http://www.inderscienceonline.com/doi/abs/10.1504/IJISM.2006.008336.
• Pibernik, R. „Managing Stock-Outs Effectively With Order Fulfillment Systems“. Journal of Manufacturing Technology Management 17, Nr. 6 (2006): 721-36. http://www.emeraldinsight.com/doi/full/10.1108/17410380610678765.

• Pibernik, R. „Managing Stock-Outs Effectively With Order Fulfillment Systems“. In Proceedings of SCMIS 2005 – 3rd International Workshop on Supply Chain Management and Information Systems.
• Pibernik, R. „Advanced Available-to-Promise: Classification, Selected Methods and Requirements for Operations and Inventory Management“. International Journal of Production Economics 93, Nr. 94 (2005): 239-52. https://www.sciencedirect.com/science/article/pii/S0925527304002452.
• Pibernik, R, und E Sucky. „Master Planning in Supply Chains“. In Entscheidungsunterstützende Systeme in SCM Und Logistik. Heidelberg, 2005.
• Goentzel, J, L T Manzione, R Pibernik, J Pruett, und B Thiessen. „Strategic Deployment of Specialized Testing and Remanufacturing in a Global Network of Contract Manufacturers“. In Proceedings of EurOMA, International Conference on Global Operations and Competitiveness. Budapest, 2005.

• Pibernik, R. „Dynamische Supply Chain Configuration Mit Advanced Planning Systemen“. In Quantitative Methoden in ERP Und APS. Paderborn.
• von_Mevius, M, und R Pibernik. „Process Management in Supply Chains – A New Petri-Net Approach“. In Proceedings of the 37th Hawaii International Conference on System Sciences (HICSS 37), Bd. 37.
• Pibernik, R, und E Sucky. „Zentrales Und Dezentrales Supply Chain Planning“. Wirtschaftswissenschaftliches Studium 1 (2004): 25-31.
• Pibernik, R, und E Sucky. „Fallstudie: Zentrales Und Dezentrales Supply Chain Planning Am Beispiel Einer Supply Chain Der Pharma-Industrie“. Wirtschaftswissenschaftliches Studium 1 (2004): 59-64.

• Pibernik, R. „A Multi-Product Batch-Available-to-Promise Model for Make-to-Stock Manufacturing“. In Operations Research Proceedings. Berlin: Springer, 2003. https://link.springer.com/chapter/10.1007/978-3-642-55537-4_12.
• Pibernik, R. „Einsatz Dynamischer Planungsmodelle Zur Unterstützung Des Strategischen Supply Chain Management“. Wirtschaftswissenschaftliches Studium 1 (2003): 20-26.
• Pibernik, R. „Fallstudie: Supply Chain Configuration Am Beispiel Eines Biotechnologie-Unternehmens“. Wirtschaftswissenschaftliches Studium 1 (2003): 54-60.
• Pibernik, R. „Modellgestützte Flexibilitätsplanung in Supply Chains: Einsatz Einer Software-Applikation in Einem Biotechnologie-Unternehmen“. Zeitschrift für Betriebswirtschaft 73, Nr. 11 (2003): 1141-65.

• Pibernik, R. „Ausgewählte Methoden Und Verfahren Zur Unterstützung Des Advanced Available to Promise“. Zeitschrift für Planung 13 (2002): 345-72.
• Pibernik, R. „Advanced Available to Promise: Herausforderungen für Das Produktions- Und Logistikmanagement“. In Wissenschaftssymposium Logistik. Magdeburg, 2002.

• Pibernik, R. „Flexibilitätsplanung in Wertschöpfungsnetzwerken“. Zeitschrift für Betriebswirtschaft 71, Nr. 8 (2001): 893-913.
• Pibernik, R. Flexibilitätsplanung in Wertschöpfungsnetzwerken. Wiesbaden: Gabler, 2001.

• Pibernik, R. „Fundamentals of Flexibility Planning in Supply Chain Networks“. In European Logistics Association. Brussels, 1999.

• Kaupp, M, M Pauly, und R Pibernik. „Simulationsgestützte Besatzungseinsatzplanung Einer Luftverkehrsgesellschaft“. In Simulation Im Luftverkehr, herausgegeben von M. Kaupp, 111-211. Wiesbaden: Gabler Verlag, 1996.