Advances in Intelligent, Flexible, and Lean Management and Engineering

Advances in Intelligent, Flexible, and Lean Management and Engineering

Release Date: June, 2021|Copyright: © 2021 |Pages: 295
DOI: 10.4018/978-1-7998-5768-6
ISBN13: 9781799857686|ISBN10: 1799857689|ISBN13 Softcover: 9781799868552|EISBN13: 9781799857792
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Big Data
  • Business Management
  • Corporate Consciousness
  • Energy Efficiency
  • Green Management
  • Green Production
  • Human Resources Management
  • Industry 4.0
  • Intelligent Management
  • Internet of Things
  • Leadership
  • Lean Production
  • Machine Learning
  • Manufacturing
  • Mass Personalization
  • Product Design
  • Social Responsibility
  • Sustainability
  • Sustainable Factories
  • Team Management
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Editor/Author Biographies
Carolina F. Machado received her PhD degree in Management Sciences (Organizational and Politics Management / Human Resources Management) from the University of Minho in 1999, and Master degree in Management (Strategic Human Resource Management) from Technical University of Lisbon in 1994. Teaching in the Human Resources Management subjects since 1989 at University of Minho, she is since 2004 Associated Professor, with experience and research interest areas in the field of Human Resources Management, International Human Resources Management, Training and Development, Management Change and Knowledge Management. She is Head of Management Department, at Economic and Management School at University of Minho, as well as Head of Human Resources Management Master and Head of Human Resources Management Work Group at University of Minho.
J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal. He is also distinguished as honorary professor in several universities/colleges/institutes in China, India and Spain. He received his PhD in Mechanical Engineering, MSc in Mechanical Engineering (materials and manufacturing processes) and Mechanical Engineering degree (5 years), from the University of Porto (FEUP), the Aggregate title (Full Habilitation) from the University of Coimbra and the DSc (Higher Doctorate) from London Metropolitan University. He is Fellow (FIET) of IET-London and Eur Ing by Engineers Europe FEANI-Brussels. He is also Specialist Engineer by the Portuguese Order of Engineers with an MBA and Specialist titles in Engineering and Industrial Management as well as in Metrology. He has more than 35 years of teaching and research experience in Manufacturing, Materials, Mechanical and Industrial Engineering, with special emphasis in Machining, Tribology & Surface Engineering. He has also interest in Design, Management, Sustainability, Industry 5.0, Engineering Education and Higher Education for Sustainability. He has guided large numbers of postdoc, PhD and master’s students as well as has coordinated and participated in several financed research projects. He has received several scientific awards and honors. He has worked as evaluator of projects for ERC-European Research Council and other international research agencies as well as examiner of PhD thesis for many universities in different countries. He is the Editor in Chief of several international journals, book Series Editor and Scientific Advisory for many conferences. ORCID: .
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