Recent Advances in Operations Management and Optimization
Select Proceedings of CPIE 2023
(Sprache: Englisch)
The book presents the select proceedings of International Conference on Production and Industrial Engineering (CPIE) 2023. It covers the current and latest research methods for development and implementation of operation. Various topics covered include...
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The book presents the select proceedings of International Conference on Production and Industrial Engineering (CPIE) 2023. It covers the current and latest research methods for development and implementation of operation. Various topics covered include selection of designing parameters, decisions related to conditions of optimum process/operation parameters, facilities planning and management, transportation and supply chain management, quality engineering, reliability and maintenance, product design and development, human factors and ergonomics, project management, service system and service management, waste management, sustainable manufacturing, and operations. The book is useful for researchers and professionals working in manufacturing, industrial engineering, systems engineering, and production engineering.Inhaltsverzeichnis zu „Recent Advances in Operations Management and Optimization “
Chapter 1: Design and Analysis of an Adaptive Robotic Gripper.- Chapter 2: an Innovative Review on the Oscillating Drum Ball Milling Process.- Chapter 3: Effect of Road Conditions on Human Subjects in Sitting and Standing Posture Using Fem.- Chapter 4: Design and Development of High Precision Scanning Flexural Mechanism Using Pid.- Chapter 5: Identification of Constraint in Healthcare Unit by Using Dice Game.- Chapter 6: Development of Paddy Transplanter Machine Using Low Cost Materials.- Chapter 7: the Effect of Lean - Green - Six Sigma Practices on Organizational Performance: a Machine Learning Approach.- Chapter 8: Design of an Optimized Distribution Network for the Effective Allocation of Lpg Cylinders in a Closed Distribution System.- Chapter 9: Evaluation of Iot Adoption Barriers in the Sustainable Indian Healthcare Supply Chain: a Pythagorean Fuzzy Dematel Approach.- Chapter 10: a Framework to Implement Green Supply Chain Management for Sustainable Development.- Chapter 11: Convolutional Neural Network Based Image Processing Model for Supply Chain Management.- Chapter 12: Developing Methodologies for Faster Defence Indigenisation: Opportunities for Indian Smes. etc.
Autoren-Porträt
Dr. Anish Sachdeva is a Professor in the Industrial and Production Engineering Department at Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India. His areas of interest are Reliability and Maintenance Engineering, supply chain management, Quality Management, Human Factor Engineering, Simulation of Production Systems. He did his Ph.D. from Indian Institute of Technology Roorkee (India). He is Lean Six Sigma Black Belt Expert certified by CII-IQ . He has over 28 years of industry and teaching experience. He has guided 65 M Tech and 17 PhD students, presently supervising 06 PhD scholars. He has about 200 publications in international and national journals and proceedings of international conferences to his credit. At present, he is a reviewer of many international journals. He is the guest editor of various journals published by Emerald Publishes, Elseveir and Indesrscience publications. He has been designated as member of International and National Advisory Committees of various international and national Conferences organized by various international and national Organizations/Institutions. He is associated with various engineering colleges in the region as a member of their Advisory Board/Governing Council. He has been member of Board of Studies of various prestigious Institutions like NIT Delhi, PEC Chandigarh, NIT Kurukshetra, PTU Kaputhala etc. He has organized six international conferences at NIT Jalandhar as Organizing Secretary and three international conferences as Chairman. and holds the position of Director (Honorary), Quality Circle Forum of India. He has visited USA, UK, Norway, Malaysia, Thailand, HongKong, France and Mauritius and delivered his research papers in various International Conferences. At NIT Jalandhar, he has handled various portfolios like Dean Academic, Dean Sudent Welafare, Public Relation Officer, Chief Warden, Nodal Officer TEQIP-II/III etc. from time-to-time during the last 28 years during his
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Dr. Kapil Kumar Goyal is serving as an Assistant Professor in the Department of Industrial and Production Engineering at Dr B R Ambedkar National Institute of Technology Jalandhar. He earned his bachelor's degree in Mechanical Engineering from NIT Kurukshetra and completed his master's degree in Manufacturing Technology from NITTTR Chandigarh, India. He obtained his doctorate from IIT Roorkee in 2012. Currently, with 20 years of teaching experience and 4 years of experience in the public sector and industry, he has established himself as a seasoned professional. Dr Goyal has an impressive track record, having authored more than 40 publications that have been published by renowned publishers including Elsevier, Taylor & Francis, Springer, and Inderscience. He has received accolades for his research, including the best paper awards at international conferences. His research interests encompass a broadrange of subjects, including Evolutionary Algorithms, Multiple Objective Optimization, Decision Sciences, Machine Learning, Manufacturing Systems, Additive Manufacturing, Industrial Internet of Things and Process Planning and Optimization. He also serves as an editor for various international journals and acts as reviewer for several reputable publishers. In addition to his academic pursuits, he has delivered expert lectures at prestigious institutions like IITs and NITs.
Dr. R K Garg is Professor in Industrial and Production Engineering Department at Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India. His areas of interest are non-traditional machining, supply chain management, industrial management, and systems dynamics. He holds a B.Sc. Engg. (Hons.) Degree in Mechanical Engineering from Regional Engineering College Kurukshetra, M.E. degree (Hons.) in Industrial Engineering, and a Ph.D. from Thapar Institute of Engineering and Technology Patiala (India)
Dr. Kapil Kumar Goyal is serving as an Assistant Professor in the Department of Industrial and Production Engineering at Dr B R Ambedkar National Institute of Technology Jalandhar. He earned his bachelor's degree in Mechanical Engineering from NIT Kurukshetra and completed his master's degree in Manufacturing Technology from NITTTR Chandigarh, India. He obtained his doctorate from IIT Roorkee in 2012. Currently, with 20 years of teaching experience and 4 years of experience in the public sector and industry, he has established himself as a seasoned professional. Dr Goyal has an impressive track record, having authored more than 40 publications that have been published by renowned publishers including Elsevier, Taylor & Francis, Springer, and Inderscience. He has received accolades for his research, including the best paper awards at international conferences. His research interests encompass a broadrange of subjects, including Evolutionary Algorithms, Multiple Objective Optimization, Decision Sciences, Machine Learning, Manufacturing Systems, Additive Manufacturing, Industrial Internet of Things and Process Planning and Optimization. He also serves as an editor for various international journals and acts as reviewer for several reputable publishers. In addition to his academic pursuits, he has delivered expert lectures at prestigious institutions like IITs and NITs.
Dr. R K Garg is Professor in Industrial and Production Engineering Department at Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India. His areas of interest are non-traditional machining, supply chain management, industrial management, and systems dynamics. He holds a B.Sc. Engg. (Hons.) Degree in Mechanical Engineering from Regional Engineering College Kurukshetra, M.E. degree (Hons.) in Industrial Engineering, and a Ph.D. from Thapar Institute of Engineering and Technology Patiala (India)
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Bibliographische Angaben
- 2024, 2024, X, 285 Seiten, 108 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Anish Sachdeva, Kapil Kumar Goyal, Rajiv Kumar Garg, J. Paulo Davim
- Verlag: Springer, Berlin
- ISBN-10: 9819974445
- ISBN-13: 9789819974443
Sprache:
Englisch
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