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.
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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.
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.
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