Supply Chain Intelligence: Application and Optimization: Management and Industrial Engineering
Editat de Kaushik Kumar, J. Paulo Davimen Limba Engleză Hardback – 16 mai 2020
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Specificații
ISBN-13: 9783030464240
ISBN-10: 3030464245
Ilustrații: XIV, 174 p. 40 illus., 24 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Management and Industrial Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 3030464245
Ilustrații: XIV, 174 p. 40 illus., 24 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Management and Industrial Engineering
Locul publicării:Cham, Switzerland
Cuprins
Strategic Sourcing Decisions.- Supply Chain Modeling.- Inventory Modeling and Inventory Control Applications.- Production Planning and Control.- Cold Chain and its Application.- Block Chain and its Application.- Logistics Modeling.- Big Data and its Application to Supply Chain.- Evolutionary Optimization on Supply Chain.- Genetic Algorithm Optimization in Supply Chain.- Hybrid Optimization for Supply Chain.
Notă biografică
Kaushik Kumar, B.Tech (Mechanical Engineering, REC (Now NIT), Warangal), MBA (Marketing, IGNOU) and Ph.D (Engineering, Jadavpur University), is an Associate Professor at the Department of Mechanical Engineering, Birla Institute of Technology, India. He has 14 years of teaching & research and worked for a leading international manufacturer for over 11 years. His teaching and research interests include quality management systems, optimization, non-conventional machining, CAD / CAM, rapid prototyping and composites. He holds 9 Patents, and has published 28 books, 17 edited volumes, 48 book chapters, over 140 papers in international journals, and presented over 20 papers at national and international conferences. He is on the editorial board and review panel of 7 international and 1 national journals. He has received numerous awards and honors.
J. Paulo Davim received holds a Ph.D. and M.Sc. in Mechanical Engineering from the University of Porto (FEUP). He was also awarded a postdoctorate degree (Full Habilitation) from the University of Coimbra and a D.Sc. (Higher Doctorate) from London Metropolitan University. He is a Portuguese Institution of Engineers Senior Chartered Engineer with an MBA and specialist qualifications in engineering and industrial management as well as in metrology. He is also Eur Ing by FEANI-Brussels and a fellow (FIET) of IET London. Currently, he is a Professor at the Department of Mechanical Engineering at the University of Aveiro, Portugal. He has more than 30 years of teaching and research experience in manufacturing, materials, mechanical and industrial engineering, with a special interest in machining & tribology. He is also has an interest in management, engineering education and higher education for sustainability. He has coordinated and participated in several funded research projects and has received several scientific awards and honors. He has evaluated projects for the ERC (European Research Council) and other international research agencies and served as a Ph.D. examiner for universities in various countries. He is the author (or co-author) of more than 10 books, 80 book chapters and 400 articles in journals and conferences, and he is the editor-in-chief, editor or guest editor of several international journals, books and book series, and a scientific advisor for various international journals and conferences. He is a member of the editorial boards of 30 international journals and is a reviewer for more than 100 prestigious Web of Science journals.
J. Paulo Davim received holds a Ph.D. and M.Sc. in Mechanical Engineering from the University of Porto (FEUP). He was also awarded a postdoctorate degree (Full Habilitation) from the University of Coimbra and a D.Sc. (Higher Doctorate) from London Metropolitan University. He is a Portuguese Institution of Engineers Senior Chartered Engineer with an MBA and specialist qualifications in engineering and industrial management as well as in metrology. He is also Eur Ing by FEANI-Brussels and a fellow (FIET) of IET London. Currently, he is a Professor at the Department of Mechanical Engineering at the University of Aveiro, Portugal. He has more than 30 years of teaching and research experience in manufacturing, materials, mechanical and industrial engineering, with a special interest in machining & tribology. He is also has an interest in management, engineering education and higher education for sustainability. He has coordinated and participated in several funded research projects and has received several scientific awards and honors. He has evaluated projects for the ERC (European Research Council) and other international research agencies and served as a Ph.D. examiner for universities in various countries. He is the author (or co-author) of more than 10 books, 80 book chapters and 400 articles in journals and conferences, and he is the editor-in-chief, editor or guest editor of several international journals, books and book series, and a scientific advisor for various international journals and conferences. He is a member of the editorial boards of 30 international journals and is a reviewer for more than 100 prestigious Web of Science journals.
Textul de pe ultima copertă
The book provides an introduction to logistics and supply chain management and the application of evolutionary computation, focusing on specific fields related to supply chain issues, from strategic sourcing decisions, and production planning and control to inventory to logistics and its application using evolutionary / heuristics techniques. Bridging the gap between management research, decision-making and computer analysis, this interdisciplinary book features state-of-the-art descriptions of the corresponding problems and advanced methods for solving them.
Caracteristici
Discusses complex problems in the fields of logistics and supply chain management Presents advanced techniques in the field of evolutionary computation Includes interdisciplinary insights from engineering and management