Richard Pibernik

University of Würzburg - Business Administration & Economics

Sanderring 2

Wuerzburg, D-97070

Germany

  • University of Würzburg - Business Administration & Economics

SCHOLARLY PAPERS

11

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TOTAL CITATIONS

13

Scholarly Papers (11)

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1.

The Optimal Number of Suppliers in the Presence of Volume Discounts and Different Compensation Potentials - An Analytical and Numerical Analysis

European Business School Research Paper No. 09-03, MIT Center for Transportation & Logistics - Archive
Number of pages: 36 Posted: 13 Mar 2009
Sebastian Moritz and Richard Pibernik
EBS Universität für Wirtschaft und Recht - EBS Business School and University of Würzburg - Business Administration & Economics
Downloads 787 (68,303)
Citation 3

Abstract:

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supply chain management, purchasing, supplier selection

2.

Prescriptive Analytics for Inventory Management: A Comparison of New Approaches

MIT Center for Transportation & Logistics - Archive
Number of pages: 50 Posted: 22 Aug 2018
Jan Meller, Fabian Taigel and Richard Pibernik
University of Wuerzburg - Chair of Logistics and Quantitative Methods, University of Wuerzburg, Chair of Logistics and Quantitative Methods and University of Würzburg - Business Administration & Economics
Downloads 580 (101,197)

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Prescriptive Analytics, Inventory Management, SEP Newsvendor Model, Machine Learning, Tree-Based Regression, Linear Quantile Regression

3.

Prescriptive Analytics for Flexible Capacity Management

Forthcoming in Management Science - https://doi.org/10.1287/mnsc.2020.3867, MIT Center for Transportation & Logistics - Archive
Number of pages: 57 Posted: 03 Jun 2019 Last Revised: 05 Mar 2025
Pascal M. Notz and Richard Pibernik
University of Würzburg - Business Administration & Economics and University of Würzburg - Business Administration & Economics
Downloads 485 (126,190)
Citation 2

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Prescriptive Analytics, Machine Learning, Data-driven OM, Capacity Management

4.

How Does the Risk Attitude of a Purchasing Manager Affect the Selection of Suppliers?

European Business School Research Paper No. 09-10, MIT Center for Transportation & Logistics - Archive
Number of pages: 36 Posted: 29 Apr 2009
Glenn W. Harrison, Sebastian Moritz and Richard Pibernik
Georgia State University - J. Mack Robinson College of Business, EBS Universität für Wirtschaft und Recht - EBS Business School and University of Würzburg - Business Administration & Economics
Downloads 405 (156,014)
Citation 5

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purchasing, decision/risk/utility, experiments, simulation

5.

What Can We Learn from LLMs? Building a Foundation Model for Inventory Management

MIT Center for Transportation & Logistics Research Paper No. 2024/009
Number of pages: 17 Posted: 12 Oct 2024
Magnus Josef Maichle, Nikolai Stein and Richard Pibernik
University of Würzburg - Business Administration & Economics, University of Würzburg - Business Administration & Economics and University of Würzburg - Business Administration & Economics
Downloads 216 (301,063)

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Artificial Intelligence, Foundation Models, Prescriptive Analytics, Inventory Management

6.

Prescriptive Analytics for a Multi-Shift Staffing Problem

MIT Center for Transportation & Logistics - Archive
Number of pages: 43 Posted: 02 Feb 2020 Last Revised: 05 Mar 2025
Pascal M. Notz, Peter K. Wolf and Richard Pibernik
University of Würzburg - Business Administration & Economics, University of Würzburg - Business Administration & Economics and University of Würzburg - Business Administration & Economics
Downloads 207 (313,439)
Citation 3

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Prescriptive Analytics, Machine Learning, Data-driven OM, Queuing System

7.

Explainable Subgradient Tree Boosting for Prescriptive Analytics in Operations Management

https://doi.org/10.1016/j.ejor.2023.08.037, MIT Center for Transportation & Logistics - Archive
Number of pages: 37 Posted: 28 Apr 2020 Last Revised: 06 Mar 2025
Pascal M. Notz and Richard Pibernik
University of Würzburg - Business Administration & Economics and University of Würzburg - Business Administration & Economics
Downloads 196 (329,718)

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Prescriptive Analytics, Machine Learning, Gradient Boosting, Explainable AI

8.

Data-Driven Inventory Control For Large Product Portfolios: A Practical Application of Prescriptive Analytics

MIT Center for Transportation & Logistics - Archive
Number of pages: 33 Posted: 29 Nov 2023
Felix Schmidt and Richard Pibernik
University of Würzburg - Business Administration & Economics and University of Würzburg - Business Administration & Economics
Downloads 136 (451,191)

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Dynamic inventory control, prescriptive analytics, machine learning, cross-learning

9.

A General-Purpose Deep Reinforcement Learning Approach for Dynamic Inventory Control

MIT Center for Transportation & Logistics Research Paper No. 2024/003
Number of pages: 25 Posted: 04 Apr 2024
Magnus Josef Maichle, Nikolai Stein, Richard Pibernik and Carlo D'Eramo
University of Würzburg - Business Administration & Economics, University of Würzburg - Business Administration & Economics, University of Würzburg - Business Administration & Economics and University of Würzburg - Institute of Computer Science
Downloads 135 (453,819)

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Dynamic inventory control, prescriptive analytics, machine learning, reinforcement learning

10.

Hit-or-Miss: What Leads Decision Makers to Take Advice for Long Term Judgments?

EBS Business School Research Paper No. 12-04, MIT Center for Transportation & Logistics - Archive
Posted: 23 Jul 2012 Last Revised: 05 Mar 2025
Philipp Ecken and Richard Pibernik
EBS Universität für Wirtschaft und Recht and University of Würzburg - Business Administration & Economics

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11.

Secure Collaborative Supply Chain Planning and Inverse Optimization – The JELS Model

European Business School Research Paper No. 10-09, MIT Center for Transportation & Logistics - Archive
Posted: 18 Apr 2010 Last Revised: 05 Mar 2025
Richard Pibernik, Yingying Zhang, Florian Kerschbaum and Axel Schröpfer
University of Würzburg - Business Administration & Economics, EBS Universität für Wirtschaft und Recht - EBS Business School - Institute for Supply Chain Management - Procurement and Logistics, SAP AG - Research CEC and SAP AG - Research CEC

Abstract:

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Supply Chain Management, collaboration, secure multi-party computation, information sharing