Operational Research in Agriculture and Tourism: 7th International Symposium and 29th National Conference on Operational Research, Chania, Greece, June 2018

This book offers a collection of recent operational research techniques applied to agriculture and tourism management, with a focus on cooperative management and decision-support in multi-criteria scenarios.

Format: Paperback / softback
Length: 218 pages
Publication date: 06 May 2021
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into a diverse array of cutting-edge operational research techniques that have been successfully applied to the fields of agriculture and tourism management. It encompasses both the primary sector of agriculture, including agricultural economics, and the tertiary sector of the tourism industry. By presenting findings and lessons learned from these innovative approaches, the book offers valuable insights that can be easily transferred to other contexts.

The central theme of the book revolves around cooperative management, emphasizing the development of solutions to provide decision support in multi-criteria scenarios. The authors explore various strategies and methodologies to enhance efficiency, productivity, and sustainability in agricultural and tourism operations.

Chapter 1 provides an introduction to the topic, highlighting the significance of operational research in agriculture and tourism. It explores the challenges faced by these industries and the need for innovative solutions to improve their performance.

Chapter 2 explores the application of optimization techniques in agriculture, such as linear programming, mixed integer programming, and genetic algorithms. It discusses how these techniques can be used to optimize resource allocation, production planning, and decision-making processes.

Chapter 3 examines the use of simulation modeling in agriculture, including agent-based modeling and discrete event simulation. It demonstrates how simulation can be used to simulate complex agricultural systems, analyze the behavior of stakeholders, and develop strategies for improving efficiency and sustainability.

Chapter 4 explores the application of operational research techniques in tourism management, such as demand forecasting, pricing strategies, and customer satisfaction analysis. It discusses how these techniques can be used to optimize tourism operations, increase revenue, and improve customer experiences.

Chapter 5 explores the role of information technology in agriculture and tourism management, including the use of data analytics, cloud computing, and mobile technologies. It discusses how these technologies can be used to improve decision-making processes, increase efficiency, and enhance customer experiences.

Chapter 6 discusses the challenges and opportunities associated with the application of operational research techniques in agriculture and tourism management. It explores the potential for interdisciplinary collaboration, the need for policy support, and the importance of sustainability.

Chapter 7 provides a conclusion that summarizes the key findings and lessons learned from the book. It emphasizes the importance of continued research and innovation in these fields to address the complex challenges facing agriculture and tourism.

In conclusion, this book offers a valuable resource for researchers, practitioners, and policymakers interested in improving the efficiency, productivity, and sustainability of agriculture and tourism operations. By presenting a diverse range of recent operational research techniques, it provides insights and solutions that can be readily applied to various other contexts. The book's focus on cooperative management issues and the development of decision support systems in multi-criteria scenarios makes it an essential read for anyone seeking to advance these industries.

Weight: 454g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030387686
Edition number: 1st ed. 2020