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Sustainability enables the development of products with minimal environmental impact coupled with economical and societal benefits. This book provides an understanding of theoretical and practical perspectives pertaining to sustainable manufacturing. The book offers theoretical concepts and practical descriptions of sustainable manufacturing. It provides insights from research and practical applications, as well as industrial case studies, and several illustrations and examples. The book goes on to discuss design strategies that support sustainable manufacturing and includes ISO 14001 and PAS 2050 standards. The book addresses the needs of undergraduate and postgraduate engineering students, academic researchers and industry practitioners.

Industry 4.0 promises tremendous opportunities for industries to go green by leveraging virtual physical systems and internet-driven technologies for a competitive advantage and setting the platform for the factory of the future and smart manufacturing. The book provides measures that can be adopted by practising design engineers to develop products that will be sustainable in all stages of their life-cycles. It helps organisations in the implementation of sustainable manufacturing practices and the formulation of critical strategies in their transition towards Industry 4.0., and the book will provide insights into ways of deploying these practices in correlation with the environmental benefits mapped to support the practising managers and stakeholders. Features Assists in the understanding of the shifting paradigm in the manufacturing sector towards smart and sustainable practices Showcases contemporary technologies and their increased use in existing industries Focuses on the need, applications and implementation frameworks for Industry 4.0 Encapsulates all that one has to learn about sustainability and its transformation in Industry 4.0 Real-time case studies are presented

Modern Fisheries Engineering: Realizing a Healthy and Sustainable Marine Ecosystem is a compendium of the latest and most cutting-edge information on the diversity of technical aspects associated with Fisheries Engineering. Expanding on presentations given at the International Conference on Fisheries Engineering (ICFE) held in Nagasaki in 2019, it aims to encourage and inspire future generations of young researchers in the field. Topics include artificial reefs, ocean ranching, fishing gear developments, modern monitoring technologies, and other subjects related to the latest practices for conducting efficient, sustainable fishing. This volume brings together world authorities to address a critically important topic, with a fresh and modern approach that includes the latest development in environmental and fisheries science.

Industry 4.0 - Challenges in Management and Engineering, and consequently the way how to manage competitive organizations between academics/researchers, managers and engineers. It also looks to, share knowledge and insights about Industry 4.0 on an international and transnational scale, keep at the forefront of innovative theories, models, processes and strategies, as well as the most recent research activities relating to industry 4.0. Industry 4.0 - Challenges in Management and Engineering is evident for many types of organizations, namely, important institutes and universities all over the world.

This book is an essential supplement for MOST (Maynard Operation Sequence Technique) certification training. An excellent resource for practicing professionals and newcomers in the fields of industrial engineering and management, it provides a detailed explanation of each of the three MOST Systems. This edition is updated with relevant examples using today’s technology to develop engineered standards. Content includes refreshed charts and guidelines to selecting a MOST System and completing a MOST analysis based on the application rules for BasicMOST, MiniMOST and MaxiMOST. A new informative chapter highlights the use of standards to improve workforce performance and increase productivity. A must for MOST certification for engineers, productivity improvement specialists, staffing and costing professionals. Certification training can be completed online and worldwide through authorized partners.

Machining is one of the eight basic manufacturing processes. This textbook covers the fundamentals and engineering analysis of both conventional and advanced/non-traditional material removal processes along with gear cutting/manufacturing and computer numerically controlled (CNC) machining. The text provides a holistic understanding of machining processes and machines in manufacturing; it enables critical thinking through mathematical modeling and problem solving and offers 200 worked examples/calculations and 70 multiple choice questions on machining operations as well as on CNC machining, with the eBook version offered in color. This unique book is equally useful to both engineering-degree students and production engineers practicing in manufacturing industry.

This book provides a key understanding of CATIA which is a solid modeling software. By using screen shots of step-by-step training, the reader will obtain comprehensive knowledge of all tools provided in CATIA for use in a variety of engineering fields. The book introduces CATIA basics, covers part design, discusses sheet metal design, talks about assembly, presents drawings and shows modeling an engineered component. The primary aim of this book is to assist in learning the use of CATIA software through examples taken from various areas of engineering. The content and treatment of the subject matter is most appropriate for university students studying engineering and practicing engineers who wish to learn the use of CATIA.

With contributions from some of the top academics and scientists in the field, Advanced Studies in Multi-Criteria Decision Making presents an updated view of the landscape of Decision Sciences, current research topics, the interaction with other sciences and fields, as well as the prospects and challenges at an international level. Given that Decision Sciences are recognized today as indispensable for confronting the major societal challenges in science and technology, this book would be of interest to decision-makers, managers, and researchers from academia, and industrial/services companies that would like a fresh insight into MCDM. Features Integrates a wide range of scientific fields with a general reader approach, including applied researchers from the social, business, enterprise sciences Suitable for academics and professionals Presents a broad coverage of MCDM tools either in industry or in services companies and systems Provides a fresh overview on MCDM studies promoted by prestigious R&D institutions Chapter 1: Implications of World Mega Trends for MCDM Research Hannele Wallenius and Jyrki Wallenius Chapter 2: MCDA/M in Telecommunication Networks - challenges and trends João Clímaco and José Craveirinha Chapter 3: SISTI: a multicriteria approach to structure complex decision problems Maria Franca Norese Chapter 4: Applying Intangible Criteria in Multiple Criteria Optimization Problems: Challenges and Solutions Marina V. Polyashuk Chapter 5: Some methods and algorithms for constructing smart city rankings Esther Dopazo and Maria L. Martínez-Cespedes Chapter 6: Agricultural Supply Chains Prioritization for Development of affected areas by the Columbian conflict Eduar Aguirre and Pablo Manyoma Chapter 7: Decision Making and Robust Optimization for Medicines Shortages in the Pharmaceutical Supply Chains João Luís de Miranda, Mariana Nagy and Miguel Casquilho Chapter 8: Using spatial decision models for rank ordering chocolates Valérie Brison, Claudia Delbaere, Marc Pirlot, and Koen Dewettinck Chapter 9: Multicriteria Decision Planning with Anticipatory Networks to Ensuring the Sustanaibality of a Digital Knowledge Platform Andrzej M.J. Skulimowski Chapter 10: A Robust Approach for Course-of-Action Comparison and Selection in Operation Planning Process Ahmet Kandakoglu and Sarah Ben Amor Chapter 11: Analysis of Relation Between Human Development and Competitiveness Using Fuzzy ANP and DEA* Hakan Kılıç, Özgür Kabak Sarah Ben Amor holds an MSc and a PhD in Business Administration, specialising in operations and decision support. Her research is focused on multi-criteria decision making. It looks mainly at uncertainty modelling, information imperfections and how they are treated in multi-criteria decision analysis. Her expertise in model building and uncertainties associated with multi-criteria analysis has benefited various R&D projects for Defence R&D Canada – Valcartier, particularly with regard to risk analysis. She also has numerous applications in different fields such as finance, innovation and healthcare systems. João Luís de Miranda is Adjunct Professor (Tenure Nomination) at College of Technology and Management (Portalegre Polytechnics Institute, Portugal) and researcher in Optimization methods and Process Systems Engineering (PSE) at CERENA (Instituto Superior Técnico, Lisboa). He has been teaching for about two decades in the Mathematics group (mainly: Calculus, Operations Research, Numerical Analysis, Quantitative Methods, Multivariate Analysis) and he is Author/Editor of several publications in Optimization, PSE, and Education subjects in Engineering and OR/MS contexts. He is also interested in strength the referred subjects through international cooperation in multidisciplinary frameworks. Emel Aktas holds a Chair of Supply Chain Analytics and Professor at Cranfield School of Management. She specialises in mathematical modelling, simulation, decision support systems, and statistical analysis to address supply chains problems, specifically in transport, retail, and manufacturing sectors. Her recent research focuses on food supply chain management, with one project (SAFE-Q) on minimising the waste in food supply chains and another (U-TURN) on logistics collaboration practises for distribution of food in the cities. Her work has appeared in European Journal of Operational Research, Interfaces, International Journal of Production Economics, and Computers and Human Behaviour. Adiel Teixeira de Almeida is Full Professor of management engineering at Universidade Federal de Pernambuco and founding coordinator of the CDSID (Center for Decision Systems and Information Development). He holds a PhD in management engineering from The University of Birmingham, UK. His main interests are in decision-making related to multiple objectives and group decision problems, which includes methodological issues and applications. Also, he has been working as a consultant and with R&D projects for private and public organizations, where he has applied decision models in many contexts, such as: risk analysis, reliability and maintenance, project portfolio, R&D project portfolio, project management, strategic modeling, outsourcing, information systems, supply chain, and water management. He has authored or co-author over 120 scientific papers in reviewed journals related to a variety of topics such as: Operational Research, Group Decision and Negotiation (GDN), Decision Systems, MCDM/A (Multicriteria Decision Making and Aid), Risk, Reliability, Maintenance, Safety, Quality, and Water Resources and serves on the editorial board of some scholarly journals, including: GDN Journal, IMA Journal of Management Mathematics, International Journal of Decision Support System Technology and EURO Journal on Decision Processes. He has been an active member of the main societies related to Operational Research, Group Decision, MCDM/A topics. Currently, he serves the GDN Section of INFORMS as Vice-President and served, until 2019, the council of the MCDM Section of INFORMS and the Executive Committee of the International Society on Multiple Criteria Decision Making. He is an Associate Research Fellow of the Institute of Mathematics and its Applications (FIMA). He also received in 2017 the INFORMS GDN Section Award.

This book is for those interested in number systems, abstract algebra, and analysis. It provides an understanding of negative and fractional numbers with theoretical background and explains rationale of irrational and complex numbers in an easy to understand format.