Recent Advances in Logistics, Supply Chain and Transportation, Volume 1
Select Proceedings of ICLST 2024
Herausgegeben:Pillai, V. Madhusudanan; Ravi Sekhar, Chalumuri; Goh, Mark
Recent Advances in Logistics, Supply Chain and Transportation, Volume 1
Select Proceedings of ICLST 2024
Herausgegeben:Pillai, V. Madhusudanan; Ravi Sekhar, Chalumuri; Goh, Mark
- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
This book presents select proceedings of the first International Conference on Logistics, Supply Chain, and Transportation (ICLST 2024) and provides the reader a comprehensive view of the latest developments in research and practice in the domains of transportation engineering, logistics, and supply chain management. The topics covered include agriculture and healthcare supply chains, freight, humanitarian, and maritime logistics, production and operations management, work study and ergonomics, industry 4.0+, remote sensing and GIS, sustainability, and transportation systems. The book will be…mehr
This book presents select proceedings of the first International Conference on Logistics, Supply Chain, and Transportation (ICLST 2024) and provides the reader a comprehensive view of the latest developments in research and practice in the domains of transportation engineering, logistics, and supply chain management. The topics covered include agriculture and healthcare supply chains, freight, humanitarian, and maritime logistics, production and operations management, work study and ergonomics, industry 4.0+, remote sensing and GIS, sustainability, and transportation systems. The book will be a valuable reference for professionals and researchers in the domains of logistics, transportation, and supply chain management.
Produktdetails
- Produktdetails
- Lecture Notes on Multidisciplinary Industrial Engineering
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 89504484, 978-981-95-0602-6
- Seitenzahl: 473
- Erscheinungstermin: 20. Januar 2026
- Englisch
- Abmessung: 235mm x 155mm
- ISBN-13: 9789819506026
- ISBN-10: 9819506026
- Artikelnr.: 74736401
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
- Lecture Notes on Multidisciplinary Industrial Engineering
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 89504484, 978-981-95-0602-6
- Seitenzahl: 473
- Erscheinungstermin: 20. Januar 2026
- Englisch
- Abmessung: 235mm x 155mm
- ISBN-13: 9789819506026
- ISBN-10: 9819506026
- Artikelnr.: 74736401
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
Dr. V. Madhusudanan Pillai is currently Professor in the Department of Mechanical Engineering at National Institute of Technology Calicut, Kerala. He obtained his B.Tech. in mechanical engineering from T. K. M. College of Engineering, Quilon, Kerala, and his M.Tech. and Ph.D. in industrial engineering from National Institute of Technology Calicut. He has published 45 papers in reputed international journals and has a patent and three copyrights to his credit. He is a referee for many international peer reviewed journals and conferences and has supervised 11 Ph.D. theses. He was visiting scholar in the Department of Manufacturing and Industrial Engineering, Wichita State University, Kansas, USA, during July 2008. He has won multiple awards for teaching and for the research papers presented at international conferences. He was among 10 shortlisted institutions/researchers who were invited for presentation at Rashtrapati Bhawan, New Delhi, as part of Festival of Innovation and Entrepreneurship in 2018. Dr. Chalumuri Ravi Sekhar is currently working as Chief Scientist at Council of Scientific & Industrial Research (CSIR)-Central Road Research Institute (CRRI), New Delhi, India. He has an experience of over 24 years in the field of traffic engineering and transportation planning. He graduated in civil engineering from Jawaharlal Nehru Technological University Hyderabad and enrolled master of engineering in transportation engineering from Indian Institute of Technology Roorkee. He received his doctoral degree from Kobe University, Japan. His research interests include travel time reliability analysis, intelligent transportation systems (ITS), GPS and GIS applications in transportation engineering, highway geometric design, and applications of soft computing techniques such as artificial neural networks (ANN) in transportation planning. He has published more than 100 research papers in national and international journals in the area of traffic and transportation engineering. Dr. Mark Goh currently holds the appointments of Director (Industry Research) at the Logistics Institute-Asia Pacific at the National University of Singapore, a joint venture with Georgia Tech, USA, and Principal Researcher at the Centre for Transportation Research and was Program Director of the Penn-State NUS Logistics Management Program. He also used to be Director of Supply Chain Solutions for Asia/Middle East with APL Logistics. He is also Professor of Management at the University of South Australia. He received his B.Sc. (Hons I) and Ph.D. degrees in mathematics from the University of Adelaide, Australia. He also holds an M.B.A. from Deakin University, Australia. His current research interest is on buyer–seller relationships, performance measurement, and supply chain strategy. He has published over 300 technical papers in internationally refereed journals and conferences and is also editorial board member for reputed journals.
Lean Supply Chain Management: A Comprehensive Review and Analysis.- Performance analysis of a process industry combining value stream mapping with a simulation tool - a case study in a jack fruit processing company in Kerala.- Modeling and Analyzing Supply Chain Disruptions through Plant Simulation: A Case Study of a Process Industry in Kerala.- Synergizing Maritime Logistics: Automated Anomaly Detection in Port Infrastructure through Drone Technology, Edge Computing and Machine Learning.- Solving Vehicle Routing Problem Using Reinforcement Learning.- A Comparative Study of Key Performance Indicators and Network Optimization of Cement Distribution Network in Kerala.- Single Resource Capacity Control Model for Hidden City Ticketing.- A Systematic Review of Critical Success Factors for Lean and Six Sigma Deployment in MSME.- Sustainable Supplier Selection through the implementation of Fuzzy TOPSIS-MABAC Framework: Based on Study from an Automotive Industry.- Analyzing the Success Rate of an Algo Trading Strategy using EMA and Candlestick Patterns.- Work study and line balancing in the automobile industry.- Multiobjective Optimization of Machining Parameters for Ti-6Al-4V Turning Using Genetic Algorithm.- Demand forecasting of a medicine at a technical university's healthcare centre.- Application of Reinforcement Learning in Supply Chain Order Management.- Analysing the Impact of Backorders on Bullwhip Effect and Supply Chain Performance: A Simulation Study.
Lean Supply Chain Management: A Comprehensive Review and Analysis.- Performance analysis of a process industry combining value stream mapping with a simulation tool - a case study in a jack fruit processing company in Kerala.- Modeling and Analyzing Supply Chain Disruptions through Plant Simulation: A Case Study of a Process Industry in Kerala.- Synergizing Maritime Logistics: Automated Anomaly Detection in Port Infrastructure through Drone Technology, Edge Computing and Machine Learning.- Solving Vehicle Routing Problem Using Reinforcement Learning.- A Comparative Study of Key Performance Indicators and Network Optimization of Cement Distribution Network in Kerala.- Single Resource Capacity Control Model for Hidden City Ticketing.- A Systematic Review of Critical Success Factors for Lean and Six Sigma Deployment in MSME.- Sustainable Supplier Selection through the implementation of Fuzzy TOPSIS-MABAC Framework: Based on Study from an Automotive Industry.- Analyzing the Success Rate of an Algo Trading Strategy using EMA and Candlestick Patterns.- Work study and line balancing in the automobile industry.- Multiobjective Optimization of Machining Parameters for Ti-6Al-4V Turning Using Genetic Algorithm.- Demand forecasting of a medicine at a technical university's healthcare centre.- Application of Reinforcement Learning in Supply Chain Order Management.- Analysing the Impact of Backorders on Bullwhip Effect and Supply Chain Performance: A Simulation Study.
