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Operational Research in the Era of Digital Transformation and Business Analytics: BALCOR 2020, Thessaloniki, Greece, September 30-October 3, 2020
Operational Research in the Era of Digital Transformation and Business Analytics: BALCOR 2020, Thessaloniki, Greece, September 30-October 3, 2020
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- More about Operational Research in the Era of Digital Transformation and Business Analytics: BALCOR 2020, Thessaloniki, Greece, September 30-October 3, 2020
This proceedings volume presents new methods and applications in Operational Research and Management Science with a special focus on Business Analytics. Featuring selected contributions from the XIV Balkan Conference on Operational Research held in Thessaloniki, Greece in 2020 (BALCOR 2020), it addresses applications and methodological tools or techniques in various areas of Operational Research, such as agent-based modelling, big data and business analytics, data envelopment analysis, data mining, decision support systems, fuzzy systems, game theory, heuristics, metaheuristics and nature-inspired optimization algorithms, linear and nonlinear programming, machine learning, multiple criteria decision analysis, network design and optimization, queuing theory, simulation and statistics.
Format: Hardback
Length: 298 pages
Publication date: 05 April 2023
Publisher: Springer International Publishing AG
This proceedings volume presents cutting-edge methods and applications in Operational Research and Management Science, with a special emphasis on Business Analytics. Drawing from the XIV Balkan Conference on Operational Research, held in Thessaloniki, Greece, in 2020 (BALCOR 2020), it showcases selected contributions that address diverse areas of Operational Research, including agent-based modelling, big data and business analytics, data envelopment analysis, data mining, decision support systems, fuzzy systems, game theory, heuristics, metaheuristics, and nature-inspired optimization algorithms. The volume also encompasses linear and nonlinear programming, machine learning, multiple criteria decision analysis, network design and optimization, queuing theory, simulation, and statistics.
The contributions in this proceedings volume cover a wide range of topics and applications, reflecting the evolving nature of Operational Research and Management Science. They highlight the significance of business analytics in today's competitive business environment, where data-driven decision-making is crucial for success. The authors employ various methodological tools and techniques, such as agent-based modelling, big data analysis, data mining, decision support systems, and optimization algorithms, to address complex business problems and provide valuable insights.
One of the key themes of the volume is the integration of artificial intelligence and machine learning techniques into Operational Research and Management Science. The authors discuss how these technologies can be used to enhance the efficiency, accuracy, and scalability of decision-making processes, particularly in the areas of supply chain management, marketing, and finance. They also explore the challenges and opportunities associated with the adoption of AI and ML in these fields.
Another important aspect of the volume is the application of Operational Research and Management Science to real-world problems. The authors present case studies and examples from various industries, such as healthcare, logistics, and transportation, to demonstrate the practical relevance and effectiveness of the proposed methods and techniques. These case studies provide valuable insights into the challenges faced by businesses and the strategies employed to overcome them.
The proceedings volume also includes discussions on the latest research trends and developments in Operational Research and Management Science. The authors highlight emerging areas of interest, such as sustainability, resilience, and optimization, and discuss how these areas can contribute to the development of more efficient and sustainable business practices.
In conclusion, this proceedings volume presents a comprehensive and up-to-date overview of the latest methods and applications in Operational Research and Management Science, with a special focus on Business Analytics. It serves as a valuable resource for researchers, practitioners, and students interested in advancing their knowledge and expertise in this field. The contributions from the XIV Balkan Conference on Operational Research provide a rich source of knowledge and inspiration for future research and practice.
Weight: 629g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031242939
Edition number: 1st ed. 2023
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