Modelling Empty Container Repositioning Logistics

AvDong-Ping Song,Jingxin Dong

Inbunden, Engelska, 2022

1 531 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Fler format och utgåvor

Häftad

1 531 kr

Skickas inom 10-15 vardagar

Beskrivning

First, it provides a discussion of broad empty equipment logistics including empty freight vehicle redistribution, empty passenger vehicle redistribution, empty bike repositioning, empty container chassis repositioning, and empty container repositioning (ECR) problems.

Produktinformation

Utgivningsdatum:2022-01-21
Mått:155 x 235 x undefined mm
Format:Inbunden
Språk:Engelska
Antal sidor:166
Förlag:Springer Nature Switzerland AG
ISBN:9783030933821

Utforska kategorier

Projektledning inom Ekonomi och Ledarskap
Transportindustri inom Ekonomi och Ledarskap
Företagsekonomi inom Ekonomi och Ledarskap

Mer om författaren

Dr Dong-Ping Song is a professor of Supply Chain Management in the School of Management at the University of Liverpool. He is a Senior Member of IEEE; an Associate Editor for Transportation Research Part E and International Journal of Shipping and Transport Logistics. His research interests include the applications of mathematical modeling, data analytics, artificial intelligence, and simulation-based tools to various supply chain, logistics, and transportation systems, particularly in the area of maritime transport. He has published four books titled as “Optimal Control and Optimization of Stochastic Supply Chain Systems” by Springer (ISBN 9781447147237); “Optimising Supply Chain Performance: Information Sharing and Coordinated Management” by Palgrave Macmillan (ISBN 9781137501134); "Container Logistics and Maritime Transport" by Routledge (ISBN 9780367336509); and "Dual-Channel Supply Chain Decisions with Risk-Averse Behaviour" by World Scientific Publishing (ISBN 9781800610392).He has had papers published in international journals including IEEE Transactions on Automatic Control, Transportation Research Part B/E/D, European Journal of Operational Research, and Naval Research Logistics. Dr Jing-Xin Dong is a professor of Operations Management and Supply Chain Management at Newcastle University Business School, UK. His research interests include operations research, port and shipping management, intelligent logistics and transport, and GPS/GIS. He is an associate editor for IET Intelligent Transport System and a member of Editorial Board for European Management Journal. He has co-authored a chapter “Empty Container Repositioning” in the book "Handbook of Ocean Container Transport Logistics" published by Springer (ISBN 9783319118901). He has published papers in Transportation Research Part B/E/D, European Journal of Operational Research, International Journal of Production Economics, Annals of Operations Research, etc.

Innehållsförteckning

Part I.- Chapter 1. Container logistics chain and empty container repositioning (ECR).- Part II .- Chapter 2. Closed-form optimal ECR policy in a single depot with random demand.- Chapter 3. Optimal ECR policy in two-depot stochastic systems: periodic-review.- Chapter 4. Optimal ECR policy in two-depot stochastic systems: continuous-review.- Chapter 5. Optimal and near-optimal ECR policies in hub-and-spoke stochastic systems.- Chapter 6. Container sharing and ECR in two-depot stochastic systems.- Chapter 7. Optimal ECR in general inland transport systems with uncertainty.- Part III.- Chapter 8. Container fleet sizing and ECR in shipping route with uncertain demands.- Chapter 9. Container fleet sizing and ECR in shipping service considering inland transport times with uncertainty.- Chapter 10. Container lease term optimisation and ECR in shipping route with uncertain demand.- Chapter 11. Evaluate flexible destination port ECR policy in shipping route with uncertain demand.- Chapter12. Laden container routing and ECR in shipping network with multiple service routes.- Chapter 13. Discrete-event driven simulation model for laden container distribution and ECR in shipping network.- Chapter 14. Evaluate ECR policies in liner shipping systems using simulation model.- Chapter 15. Conclusions.