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This book consists of select proceedings of the International Conference on Functional Material, Manufacturing and Performances (ICFMMP) 2019, and presents latest research on using the combined intelligence of people, processes, and machines to impact the overall economics of manufacturing. The book focuses on optimizing manufacturing resources, improving business value and safety, and reducing waste - both on the floor and in back-office operations. It highlights the applications of the latest manufacturing execution system (MES), intelligent devices, machine-to-machine communication, and…mehr
This book consists of select proceedings of the International Conference on Functional Material, Manufacturing and Performances (ICFMMP) 2019, and presents latest research on using the combined intelligence of people, processes, and machines to impact the overall economics of manufacturing. The book focuses on optimizing manufacturing resources, improving business value and safety, and reducing waste - both on the floor and in back-office operations. It highlights the applications of the latest manufacturing execution system (MES), intelligent devices, machine-to-machine communication, and data analysis for the production lines and facilities. This book will be useful to manufacturers of finished goods and of sub-assemblies in the automotive, agriculture, and construction equipment sector. It will also provide solutions to make production strategies exceptional and can be a useful reference for beginners, researchers, and professionals interested in intelligent manufacturing technologies.
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Autorenporträt
Prof. Grzegorz Krolczyk is Professor in the Opole University of Technology. He is an originator and a Project Manager of OUTech's new Surface Integrity Laboratory. In his career he has held positions such as: head of unit design and technology, product engineer, production manager, product development engineer and production director. He is the co-author and project leader of a project Innovative, energy-efficient diaphragm flow device of a new generation. He is connected with the mechanical industry, where he managed teams from a few to over a hundred people. His industrial engineering experience was gained while working in an European holding company involved in machining of construction materials and plastic injection, where he was responsible for contacts with companies on technical issues such as quotation and implementation of new products. In professional career he was responsible from the implementation to production of products such as peristaltic pumps, ecological sprayers to spray organic pesticides and many pressure equipment operating e.g. in chemical plants. As a production manager, he was responsible from implementation to production and launching the assembly line for innovative sprayer ultra-low volume spraying system. He is author and co-author of over 80 scientific publications and nearly 20 studies and implementation of industry. The main directions of scientific activity are surface metrology, optimization of geometrical and physical parameters of surface integrity, optimization of production and cutting tool wear analysis in dry machining process of difficult-to-cut materials. He is also editor of various Journals and Books. Dr. Chander Prakash is Associate Professor in the School of Mechanical Engineering, Lovely Professional University, Jalandhar, India. He has received Ph.D in mechanical engineering from Panjab University, Chandigarh, India. His area of research is biomaterials, rapid prototyping & 3-D printing, advanced manufacturing, modeling, simulation, and optimization. He has more than 11 years of teaching experience and 6 years' of research experience. He has contributed extensively to the world in the titanium and magnesium based implant literature with publications appearing in Surface and Coating Technology, Materials and Manufacturing Processes, Journal of Materials Engineering and Performance, Journal of Mechanical Science and Technology, Nanoscience and Nanotechnology Letters, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. He has authored 60 research papers and 10 book chapters. He is also editor of 3 books: "Current Trends in Bio-manufacturing", Springer Series in Advanced Manufacturing, Springer International Publishing AG, Gewerbestrasse 11, 6330 Cham, Switzerland., Dec. 2018; "3D Printing in Biomedical Engineering", Book series Materials Horizons: From Nature to Nanomaterials, Springer International Publishing AG, Gewerbestrasse 11, 6330 Cham, Switzerland., August 2019, and "Biomaterials in Orthopaedics and Bone Regeneration - Design and Synthesis", Book series Materials Horizons: From Nature to Nanomaterials, Springer International Publishing AG, Gewerbestrasse 11, 6330 Cham, Switzerland., March 2019. He is also guest editor of 3 journals: special issue of "Functional Materials and Advanced Manufacturing", Facta Universitatis, Series: Mechanical Engineering (Scopus Index), Materials Science Forum (Scopus Index), and special issue on "Metrology in Materials and Advanced Manufacturing", Measurement and Control (SCI indexed). Dr. Sunpreet Singh is researcher in NUS Nanoscience & Nanotechnology Initiative (NUSNNI). He has received Ph.D in Mechanical Engineering from Guru Nanak Dev Engineering College, Ludhiana, India. His area of research is additive manufacturing and application of 3D printing for development of new biomaterials for clinical applications. He has contributed extensively in additive manufacturing literature with publications appearing in Journal of Manufacturing Processes, Composite Part:B, Rapid Prototyping Journal, Journal of Mechanical Science and Technology, Measurement, International Journal of Advance Manufacturing Technology, and Journal of Cleaner Production. He has authored 10 book chapters and monographs. He is working in joint collaboration with Prof. Seeram Ramakrishna, NUS Nanoscience & Nanotechnology Initiative and Prof. Rupinder Singh, manufacturing research lab, GNDEC, Ludhiana. He is also editor of 3 books- "Current Trends in Bio-manufacturing", Springer Series in Advanced Manufacturing, Springer International Publishing AG, Gewerbestrasse 11, 6330 Cham, Switzerland., Dec. 2018; "3D Printing in Biomedical Engineering", Book series Materials Horizons: From Nature to Nanomaterials, Springer International Publishing AG, Gewerbestrasse 11, 6330 Cham, Switzerland., August 2019, and "Biomaterials in Orthopaedics and Bone Regeneration - Design and Synthesis", Book series Materials Horizons: From Nature to Nanomaterials, Springer International Publishing AG, Gewerbestrasse 11, 6330 Cham, Switzerland., March 2019. He is also guest editor of 3 journals- special issue of "Functional Materials and Advanced Manufacturing", Facta Universitatis, series: Mechanical Engineering (Scopus Index), Materials Science Forum (Scopus Index), and special issue on "Metrology in Materials and Advanced Manufacturing", Measurement and Control (SCI indexed). Prof. J. Paulo Davim currently is Professor at the Department of Mechanical Engineering of the University of Aveiro, Portugal. He received his Ph.D. degree in mechanical engineering in 1997, M.Sc. degree in mechanical engineering (materials and manufacturing processes) in 1991, mechanical engineering degree (5 years) in 1986, from the University of Porto (FEUP), the Aggregate title (Full Habilitation) from the University of Coimbra in 2005 and the D.Sc. from London Metropolitan University in 2013. He is Senior Chartered Engineer by the Portuguese Institution of Engineers with an MBA and Specialist title in engineering and industrial management. He is also felicitated with Eur Ing by FEANI-Brussels and Fellow (FIET) by IET-London. He has more than 30 years of teaching and research experience in manufacturing, materials, mechanical and industrial engineering, with special emphasis in machining & tribology. He has also interest in management, engineering education and higher education for Sustainability. He has guided large numbers of postdocs, Ph.D. and master's students as well as has coordinated and participated in several financed research projects. He has received several scientific awards. He has worked as evaluator of projects for ERC European Research Council and other international research agencies as well as examiner of Ph.D. thesis for many universities in different countries. He is the editor in chief of several international journals, guest editor of journals, books editor, book series editor and scientific advisory for many international journals and conferences. Presently, he is an editorial board member of 30 international journals and acts as reviewer for more than 100 prestigious Web of Science journals. In addition, he has also published, as editor (and co-editor), more than 100 books and as author (and co-author) more than 10 books, 80 book chapters and 400 articles in journals and conferences (more than 250 articles in journals indexed in Web of Science core collection /h-index 49+/7000+ citations, SCOPUS/h-index 56+/10000+ citations, Google Scholar/h-index 70+/16000+).
Inhaltsangabe
Six Sigma Methodology and Implementation in Indian Context: A Review Based Study.- Evaluation of work posture using ergonomics in Indian small scale industry.- Manufacturing Intelligence in the Context of Indian SME's.- Multi-objective optimization of process parameter during dry Turning of Grade5 Titanium alloy with carbide inserts: Hybrid Fuzzy-TOPSIS approach.- Analysis of Factors for Green Supply Chain in Indian Timber Market: An ISM Approach.- The Value Engineering Way: A Case of Industrial Fans.- Obstacles of Flexible Manufacturing System: An AHP Approach for Quantifying the Rank Given by the ISM Model.- To Find the Effectiveness of Barriers in Reverse Logistics by using ISM.- Optimization of MQL Machining Parameters Using Combined Taguchi and TOPSIS Method.- Life Cycle Assessment Framework for Sustainable Development in Manufacturing Environment.- Artificial Neural Network Models for the Prediction of Metal Removal Rate in Rotary Ultrasonic Machining.- Finding the Percentage Effectiveness of Agile Manufacturing Barriers: An AHP Approach.- Modeling the Knowledge Sharing Barriers in Indian Small and Medium Industries using ISM.- Simulation and Optimization of Flexible Flow Shop Scheduling Problem in an Indian Manufacturing Industry.- Computational Investigation on the Thermal Characteristics of Heat Pipe Using Nanofluids.- Analysis of Barriers to Lean-Green Manufacturing System (Lgms): A Multi-Criteria Decision Making Approach.- Machine Learning Application for Pulsating Flow Through.- Ranking of Factors for Integrated Lean, Green and Agile Manufacturing for Indian Manufacturing Sme's.
Six Sigma Methodology and Implementation in Indian Context: A Review Based Study.- Evaluation of work posture using ergonomics in Indian small scale industry.- Manufacturing Intelligence in the Context of Indian SME's.- Multi-objective optimization of process parameter during dry Turning of Grade5 Titanium alloy with carbide inserts: Hybrid Fuzzy-TOPSIS approach.- Analysis of Factors for Green Supply Chain in Indian Timber Market: An ISM Approach.- The Value Engineering Way: A Case of Industrial Fans.- Obstacles of Flexible Manufacturing System: An AHP Approach for Quantifying the Rank Given by the ISM Model.- To Find the Effectiveness of Barriers in Reverse Logistics by using ISM.- Optimization of MQL Machining Parameters Using Combined Taguchi and TOPSIS Method.- Life Cycle Assessment Framework for Sustainable Development in Manufacturing Environment.- Artificial Neural Network Models for the Prediction of Metal Removal Rate in Rotary Ultrasonic Machining.- Finding the Percentage Effectiveness of Agile Manufacturing Barriers: An AHP Approach.- Modeling the Knowledge Sharing Barriers in Indian Small and Medium Industries using ISM.- Simulation and Optimization of Flexible Flow Shop Scheduling Problem in an Indian Manufacturing Industry.- Computational Investigation on the Thermal Characteristics of Heat Pipe Using Nanofluids.- Analysis of Barriers to Lean-Green Manufacturing System (Lgms): A Multi-Criteria Decision Making Approach.- Machine Learning Application for Pulsating Flow Through.- Ranking of Factors for Integrated Lean, Green and Agile Manufacturing for Indian Manufacturing Sme's.
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