This book focuses on operations management methods for analysing complex systems from a system engineering perspective. It presents various advanced multi-criteria decision analysis methods for investigating factors that influence complex systems. In turn, it shows how to improve systems’ performance, including their competitiveness, safety, and sustainability. The book also draws on examples of typical virtual systems such as tourism, aviation maintenance, and waste-to-wealth systems to illustrate the operations management methods discussed. Cases from day-to-day life are used to elicit heuristic questions on the operations management methods presented in each chapter. The book will help researchers, operations managers, and engineers alike to understand the latest advances in operations management methods for analysing complex systems from the standpoint of system engineering.

This book focuses on operations management methods for analysing complex systems from a system engineering perspective. It presents various advanced multi-criteria decision analysis methods for investigating factors that influence complex systems. In turn, it shows how to improve systems performance, including their competitiveness, safety, and sustainability. --

Hydrogen Economy: Supply Chain, Life Cycle Analysis and Energy Transition for Sustainability, Second Edition explores the challenges for the transition into a sustainable hydrogen economy. In this book, experts from various academic backgrounds discuss the tools and methodologies for the analysis, planning, design, and optimization of hydrogen supply chains. They examine the available technologies for hydrogen production, storage, transport, distribution, and energy conversion, providing a cross cutting perspective on their sustainability.This second edition of Hydrogen Economy is fully updated with new technologies and tools for design, optimization, assessment, and decision-making, and includes twelve new chapters divided into two new sections. Section III examines advanced hydrogen routines and technologies, including fuel cells and hybrid electric vehicles, new storage technologies, and biohydrogen production from waste, allowing for a more complete life cycle assessment of the entire supply chain. Section IV provides new insights into policy and future developments, discussing the role of Grey, Blue, and Green hydrogen in the energy transition, the application of hydrogen in decarbonization of heavy industry, hydrogen safety, and more, substantially broadening the scope of the 2nd Edition.Providing a broad overview of the subject and well-recognized tools to manage hydrogen sustainability, Hydrogen Economy Second Edition is an invaluable resource for engineering researchers and PhD students in energy, environmental and industrial areas, energy economy researchers, practicing hydrogen energy engineers and technicians, energy and environmental consultants, life cycle assessment practitioners and consultants. Provides a broad perspective of the issues related to environmental, social and economic sustainability of hydrogen energy and its future perspectives Presents the current applied research and available tools for managing and assessing hydrogen energy sustainability, such as LCA, optimization, multi-criteria decision making and supply chain optimization Explores how experts in the field handle all issues related to the application of life cycle assessment for hydrogen production, storage, transport, distribution, safety, and end use

The chapters in Advanced Topics in Applied Operations Management creatively demonstrate a valuable connection among operations strategy, operations management, operations research, and various departments, systems, and practices throughout an organization. The authors show how mathematical tools and process improvements can be applied effectively in unique measures to other functions. The book provides examples that illustrate the challenges confronting firms competing in today's demanding environment bridging the gap between theory and practice by analyzing real situations.

A comprehensive guide to the theory, methodology, and development for modeling systems of systems Modeling and Managing Interdependent Complex Systems of Systems examines the complexity of, and the risk to, emergent interconnected and interdependent complex systems of systems in the natural and the constructed environment, and in its critical infrastructures. For systems modelers, this book focuses on what constitutes complexity and how to understand, model and manage it.Previous modeling methods for complex systems of systems were aimed at developing theory and methodologies for uncoupling the interdependencies and interconnections that characterize them. In this book, the author extends the above by utilizing public- and private- sector case studies; identifies, explores, and exploits the core of interdependencies; and seeks to understand their essence via the states of the system, and their dominant contributions to the complexity of systems of systems. The book proposes a reevaluation of fundamental and practical systems engineering and risk analysis concepts on complex systems of systems developed over the past 40 years. This important resource: Updates and streamlines systems engineering theory, methodology, and practice as applied to complex systems of systems Introduces modeling methodology inspired by philosophical and conceptual thinking from the arts and sciences Models the complexity of emergent interdependent and interconnected complex systems of systems by analyzing their shared states, decisions, resources, and decisionmakers Written for systems engineers, industrial engineers, managers, planners, academics and other professionals in engineering systems and the environment,this text is the resource for understanding the fundamental principles of modeling and managing complex systems of systems, and the risk thereto.

While there are many different models for performing system analysis, the multi-criteria decision making method has proven to be one of the most efficient. By analyzing the key concepts of this theory, the technique can be enhanced and will benefit future organizations and companies in novel ways. Multi-Criteria Decision Making for the Management of Complex Systems provides a comprehensive examination of the latest strategies and methods involved in decision theory. Featuring extensive coverage on relevant topics such as nested scalar convolutions, Pareto optimality, nonlinear schemes, and operator performance, this publication is ideally designed for engineers, students, professionals, academics, and researchers seeking innovative perspectives on the supervision of advanced decision making theories in system analysis.