Operations Research Proceedings 2022: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Karlsruhe, Germany, September 6-9, 2022

Medientyp: E-Book; Konferenzbericht

Titel: Operations Research Proceedings 2022 : Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Karlsruhe, Germany, September 6-9, 2022

Beteiligte: Grothe, Oliver [Herausgeber:in]; Nickel, Stefan [Herausgeber:in]; Rebennack, Steffen [Herausgeber:in]; Stein, Oliver [Herausgeber:in]

Körperschaft: Gesellschaft für Operations-Research ; Institut für Operations Research

Erschienen: Cham: Springer International Publishing, 2023.
Cham: Imprint: Springer, 2023.

Umfang: 1 Online-Ressource (XVIII, 671 p. 119 illus., 83 illus. in color.)

Sprache: Englisch

DOI: 10.1007/978-3-031-24907-5

ISBN: 9783031249075

Identifikator:

Schlagwörter: Operations research. ; Management science. ; Mathematical optimization. ; OR 2022 ; Business Analytics ; Decision Analytics ; Digital Economy ; Mathematical Optimization ; Multicriteria Decision Making ; Optimization and Simulation ; Logistics Scheduling ; Transportation ; OR applications in production ; OR applications in supply chains ; Engineering Economics ; OR Applications Using Big Data ; Operations Research Applications ; Konferenzschrift

Entstehung:

Anmerkungen:

Beschreibung: Chapter 1: A Two-Stage Stochastic Optimisation Model for Urban Same-Day Delivery with Micro-hubs -- Chapter 2: Computational Linear Bilevel Optimization -- Chapter 3: Faster Algorithms for Steiner Tree and Related Problems: From Theory to Practice -- Chapter 4: Prescriptive Analytics for Data-Driven Capacity Management.

This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2022), which was held at Karlsruhe Institute of Technology, Germany, on September 6-9, 2022. KIT’s Institute for Operations Research (IOR) hosted the conference together with the Institute for Industrial Production (IIP), the Institute for Automation and Applied Informatics (IAI), and the Institute for Material Handling and Logistics (IFL). The respective papers discuss classical mathematical optimization, statistics and simulation techniques. These are complemented by computer science methods, and by tools for processing data, designing and implementing information systems. The book also examines recent advances in information technology, which allow big data volumes to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it includes problems modeled and treated while taking into account uncertainty, risk management, behavioral issues, etc.

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