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This book deals with research in open challenges in Management Engineering in the 21st century, as well as selected opportunities and solutions to remedy them. Management Engineering is an emerging field that extends the analytical methods used in traditional Industrial Engineering and Industrial Organization to address the economic, behavioral and social dimensions of companies and their environments. Management Engineering extends its domain beyond the firm and the market to encompass the modeling and policy design of physical landscapes populated by social agents. The developments of the 21st century have made it necessary to adopt an integrative and global view of the different methodologies and tools that facilitate managers’ decision-making processes, ranging from the strategic to the operational level. This book equips readers with precisely these urgently needed resources.
In organizations today, knowledge on how to manage in a green environment is of a particular emphasis and is an important discussion topic amongst academics, researchers, and managers. Undertakings such as sustainability, not only in an environmental perspective but also in an organizational perspective; recycling; re-use; low costs; waste reduction; and high productivity are only some, among many others, that require a break in traditional management paradigms. Present organizations need to be managed with different models where innovation and change are key words as they drive the organization to success. At this level, green management appears as a new way to manage and understand organizations, making them more strategic and competitive in the markets where they are and where they will be in the future. Advances in Intelligent, Flexible, and Lean Management and Engineering introduces the newest models, theories, and tools along with the practices, policies, and strategies for management and engineering. This book reflects on the experiences and thoughts about the state-of-the-art research in the green management and engineering fields, as well as the future direction of this scope of research. It covers important topics such as green transformational leadership, artificial intelligence, production models, sustainable factories, and more. This book is an essential resource tool for engineers, executives, managers, economists, practitioners, researchers, academicians, and students looking for information on the advances in management and engineering for businesses.
This book presents the proceedings of the First National Conference on “Sustainable Management of Environment & Natural Resource through Innovation in Science and Technology” (SMTST2020). The book highlights the latest development and innovations in the fields of sustainability, natural resource management, ecology and its environmental fields, geosciences and geology, atmospheric sciences, sustainability, climate change, and extreme weather, global warming, and global change, the effect of climate change on the ecosystem, environment, and pollution, as well as putting a strong emphasis on the multidisciplinary studies.
Chapter 1. Fundamentals of Well Testing -- Chapter 2. Decline and Type-Curves Analysis -- Chapter 3. Water Influx -- Chapter 4. Unconventional Gas Reservoirs -- Chapter 5. Performance of Oil Reservoirs -- Chapter 6. Predicting Oil Reservoir Performance -- Chapter 7. Fundamentals of Enhanced Oil Recovery -- Chapter 8. Economic Analysis -- Chapter 9. Analysis of Fixed Capital Investments -- Chapter 10. Advanced Evaluation Approaches -- Chapter 11. Professionalism and Ethics.
This book gathers the proceedings of the 14th International Conference on Management Science and Engineering Management (ICMSEM 2020). Held at the Academy of Studies of Moldova from July 30 to August 2, 2020, the conference provided a platform for researchers and practitioners in the field to share their ideas and experiences. Covering a wide range of topics, including hot management issues in engineering science, the book presents novel ideas and the latest research advances in the area of management science and engineering management. It includes both theoretical and practical studies of management science applied in computing methodology, highlighting advanced management concepts, and computing technologies for decision-making problems involving large, uncertain and unstructured data. The book also describes the changes and challenges relating to decision-making procedures at the dawn of the big data era, and discusses new technologies for analysis, capture, search, sharing, storage, transfer and visualization, as well as advances in the integration of optimization, statistics and data mining. Given its scope, it will appeal to a wide readership, particularly those looking for new ideas and research directions.
"This book illustrates the power of management engineering for quantitative managerial decision-making in healthcare settings, that assists in predicting performance and/or real resource requirements and allowing decision-makers to be truly proactive rather than reactive"--
Annotation This volume offers a comprehensive understanding of systems ideas and methods, showing professionals in a wide range of high-tech fields how to conceive, design and manage a systems engineering process for optimal results and goal attainment.
In today's manufacturing environment, the integration of commercial, production, maintenance, and engineering functions is a common and crucial goal. In this timely volume, Richard G. Lamb presents a new standard within the enterprise and plant design management. Lamb shows readers how to advance the plant's role in enterprise business performance and leadership by most cost effectively achieving the mechanical availability necessary to perform in the face of current events, business cycles, and industry trends. Performance is from the designed and managed reliability and maintainability of its equipment.
This book covers advancements across business domains in knowledge and information management. It presents research trends in the fields of management, innovation, and technology, and is composed of research papers that show applications of IT, analytics, and business operations in industry and in educational institutions. It offers a combination of scientific research methods and concepts, with contributions from globally renowned authors; presents various management domains from a number of countries for a global perspective; and provides a unique combination of topics and methods while giving insights on the management domain using a holistic approach. The book provides scholars with a platform to derive maximum utility in the area of management, research, and technology by subscribing to the idea of managing business through performance and management technology.
This book brings insight into data science and offers applications and implementation strategies. It includes current developments and future directions and covers the concept of data science along with its origins. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and business intelligence with predictive analysis. Data Science in Engineering and Management: Applications, New Developments, and Future Trends introduces the concept of data science, its use, and its origins, as well as presenting recent trends, highlighting future developments; discussing problems and offering solutions. It provides an overview of applications on data linked to engineering and management perspectives and also covers how data scientists, analysts, and program managers who are interested in productivity and improving their business can do so by incorporating a data science workflow effectively. This book is useful to researchers involved in data science and can be a reference for future research. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.