Technology has made it possible to conduct research and form research groups that are not limited by geographic location. The field of Collaborative and Distributed E-Research (CDER) studies this phenomenon, specifically focusing on the use of the Internet and Information Technology (IT) to develop international and distributed scientific research. Collaborative and Distributed E-Research: Innovations in Technologies, Strategies and Applications offers insight into practical and methodological issues related to collaborative e-research and furthers our understanding of current and future trends in online research and the types of technologies involved. This book provides a useful foundation for academics and professionals involved in Collaborative and Distributed E-Research, collaborative software development, and computer-supported collaborative work.

With contributions from noted laboratory scientists, professors, and engineers, Hydrogen Energy and Vehicle Systems presents a new comprehensive approach for applying hydrogen-based technologies to the transportation and electric power generation sectors. It shows how these technologies can improve the efficiency and reliability of energy and transportation systems. The book's interdisciplinary approach to sustainable energy systems disproves common misconceptions regarding hydrogen technologies and demonstrates that hydrogen technologies are a viable part of a sustainable, stable, and secure energy infrastructure. The book discusses intelligent energy management schemes for hydrogen energy and vehicle systems, safety and environmental science related to hydrogen technologies, and the infrastructure required for safe, renewable hydrogen options. A clear and up-to-date resource on hydrogen systems, this work provides a balanced presentation of theoretical/technical and application aspects of hydrogen technologies. It presents all stakeholder perspectives and connects hydrogen technology through proper systems analysis and integration, covering both quantitative and qualitative factors.

In real-life scenarios, service management involves complex decision-making processes usually affected by random or stochastic variables. Under such uncertain conditions, the development and use of robust and flexible strategies, algorithms, and methods can provide the quantitative information necessary to make better business decisions. Decision Making in Service Industries: A Practical Approach explores the challenges that must be faced to provide intelligent strategies for efficient management and decision making that will increase your organization's competitiveness and profitability. The book provides insight and understanding into practical and methodological issues related to decision-making processes under uncertainty in service industries. It examines current and future trends regarding how these decision-making processes can be efficiently performed for better design of service systems by using probabilistic algorithms as well as hybrid and simulation-based approaches. Traditionally, many quantitative tools have been developed to make decisions in production companies. This book explores how to use these tools for making decisions inside service industries. Thus, the authors tackle strategic, tactical, and operational problems in service companies with the help of suitable quantitative models such as heuristic and metaheuristic algorithms, simulation, or queuing theory. Generally speaking, decision making is a hard task in business fields. Making the issue more complex, most service companies' problems are related to the uncertainty of the service demand. This book sheds light on these types of decision problems. It provides studies that demonstrate the suitability of quantitative methods to make the right decisions. Consequently, this book presents the business analytics needed to make strategic decisions in service industries.

In real-life scenarios, service management involves complex decision-making processes usually affected by random or stochastic variables. Under such uncertain conditions, the development and use of robust and flexible strategies, algorithms, and methods can provide the quantitative information necessary to make better business decisions. Decision Making in Service Industries: A Practical Approach explores the challenges that must be faced to provide intelligent strategies for efficient management and decision making that will increase your organization s competitiveness and profitability.
The book provides insight and understanding into practical and methodological issues related to decision-making processes under uncertainty in service industries. It examines current and future trends regarding how these decision-making processes can be efficiently performed for better design of service systems by using probabilistic algorithms as well as hybrid and simulation-based approaches.

Traditionally, many quantitative tools have been developed to make decisions in production companies. This book explores how to use these tools for making decisions inside service industries. Thus, the authors tackle strategic, tactical, and operational problems in service companies with the help of suitable quantitative models such as heuristic and metaheuristic algorithms, simulation, or queuing theory.

Generally speaking, decision making is a hard task in business fields. Making the issue more complex, most service companies problems are related to the uncertainty of the service demand. This book sheds light on these types of decision problems. It provides studies that demonstrate the suitability of quantitative methods to make the right decisions. Consequently, this book presents the business analytics needed to make strategic decisions in service industries.