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 agri 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 is a valuable reference for professionals and researchers in the domains of logistics, transportation, and supply chain management.

Covers both the technological and managerial aspects related to transportation Brings together the researchers working on core and allied problems in logistics and supply chain management Strikes a balance between theory, research, and practice in transportation and logistics

Autorentext

Dr. V. Madhusudanan Pillai is currently a professor at the Department of Mechanical Engineering at National Institute of Technology Calicut, Kerala. With more than 33 years of teaching experience and over 170 technical paper publications in international journals and conferences, and editorship of a book, he has developed several teaching laboratory exercises and software packages in the area of manufacturing management and supply chain management. His expertise in the area of developing e-learning tools on supply chain operation simulation has resulted in the development of several supply chain operation simulators and he owns copyright for three such software packages and two patents. He offers courses on manufacturing planning and control, Inventory and supply chain management, lean production management, and group technology.

Dr. Chalumuri Ravi Sekhar is currently working as a 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, route choice, and mode choice modeling, 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.

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, principal researcher at the Centre for Transportation Research, and was a program director of the Penn-State NUS Logistics Management Program. He also used to be the director of Supply Chain Solutions for Asia/Middle East with APL Logistics. He is also a 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 MBA from Deakin University, Australia. His current research interest is on buyer-seller relationships, performance measurement, and supply chain strategy.

Inhalt

Development of a Relief Distribution model for Emergency logistics.- Selection of Public Transportation mode of Pune city using Multi Criteria Decision Making methods.- Traffic Management During Peak Hours Using Traffic Simulation and Statistical Tools.- Mode Choice Preferences using Disaggregate Modeling: Insights from Kolhapur, India.- Intelligent Drowsiness Detection System for Driver Safety Enhancement.- Adoption of CGBM as Rut-Resistant Wearing Course on Heavy Freight Corridors.- Traffic Demand Modelling of Freight Through Cochin Port Using Multiple Linear Regression Analysis.- Delay and reliability assessment of flights between single-runway airports.- Equity Centric Evaluation of Transit-Oriented Development using Analytical Hierarchy Process.- Development of Road Safety Index using Artificial Intelligence.- Fuzzy MICMAC Approach for the Analysis of Key Performance Indicators in Public Transport Industry in India.- Enhancing Logistics Management and Optimizing Logistics Using Linear Programming in Highway Projects.- Farmers' Transport Choice: Enhancing Agricultural Logistics.- Traffic Sign Detection and Recognition Using YOLO V8 and CNN.- Optimal Routes of Offshore Supply Vessel Deployment.