Modeling and Optimization in Green Logistics

✍ Scribed by Houda Derbel, Bassem Jarboui, Patrick Siarry

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 178
• Category: Library

✦ Synopsis

This book presents recent work that analyzes general issues of green logistics and smart cities. The contributed chapters consider operating models with important ecological, economic, and social objectives.

The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.

✦ Table of Contents

Preface
Organization of the Book
Audience
Contents
Contributors
Acronyms
1 The Green-Vehicle Routing Problem: A Survey
1.1 Introduction
1.2 Survey Methodology
1.3 Literature Review on the G-VRPs with Conventional Vehicles
1.3.1 Time-Dependent PRP
1.3.2 Multi-Objective PRP
1.3.3 Heterogeneous Fleet PRP
1.3.4 Location PRP
1.4 Literature Review on the G-VRPs with Alternative Fuel Vehicles
1.4.1 Green-Vehicle Routing Problem with AFVs
1.4.2 Electric Vehicle Routing Problem
1.4.3 Hybrid Vehicle Routing Problem
1.4.4 Mixed Fleet Green-Vehicle Routing Problem
1.4.5 Electric Vehicle Location Routing Problem
1.4.6 Electric Vehicle Routing Problem with Non-linear Charging Function
1.5 New Paradigms in VRP
1.6 Conclusions
References
2 An Integrated Location-Inventory Routing Problem for ATMs in Banking Industry: A Green Approach
2.1 Introduction
2.2 Literature Review
2.2.1 ATM Location Literature Review
2.2.2 ATM Replenishment Literature Review
2.3 Problem Description
2.3.1 The ATM Locating Model
2.3.1.1 Sets
2.3.1.2 Parameters
2.3.1.3 Decision Variables
2.3.1.4 Modeling
2.3.1.5 Linearization
2.3.1.6 Parameter Calculations
2.3.2 The ATM Replenishment Model
2.3.2.1 Sets
2.3.2.2 Parameters
2.3.2.3 Decision Variables
2.3.2.4 Modeling (Objective Functions and Constraints)
2.3.2.5 Modeling (Objective Functions and Constraints)
2.3.3 ATM Location-Replenishment Integrated Model
2.3.3.1 Modeling
2.4 Numerical Experiments
2.4.1 Solution of the ATM Locating Model
2.4.2 Sensitivity Analysis of the Location Model
2.4.3 Solution of the ATM Replenishment Model
2.4.4 Solution of the Integrated Model
2.4.5 Sensitivity Analysis of the Integrated Model
2.4.6 Comparison of the Hierarchical Approach and the Integrated Model
2.5 Conclusions
References
3 Modelling a Future Routing Concept for the Urban Air Mobility
3.1 Introduction
3.2 Modelling the Restricted Air Space in Urban Areas
3.2.1 Legal and Soft Restrictions for the Flight Paths
3.2.2 Generating 3D Geofences to Model the Restricted Air Space
3.2.3 Generate the Minimal Flight Height Plane
3.3 Model Best Routes for Different Criteria in the Non-restricted Air Space
3.3.1 Minimize Total Distance
3.3.2 Minimize Noise Pollution
3.3.3 Minimize Danger in Emergency Situations
3.4 Optimize the Network Structure
3.4.1 Time Depending Network Structure
3.4.2 Site Planning for Hubs and Ports
3.5 Discussion
3.6 Conclusion
References
4 Putting the SC in SCORE: Solar Car Optimized Route Estimation and Smart Cities
4.1 Introduction
4.2 SCORE
4.2.1 System Description
4.2.2 Data Collection and Management
4.2.2.1 A Priori Data
4.2.2.2 Real-Time Data
4.2.3 Theoretical Considerations
4.2.4 Implementation
4.2.4.1 Implementation of Sensor Data Collection and the Server
4.2.4.2 Implementation of the Optimization Client
4.3 Putting the Smart City (SC) into SCORE
4.4 Conclusions
References
5 Evaluation and Prioritisation of Green Logistics and Transportation Practices Used in the Freight Transport Industry
5.1 Introduction
5.2 Literature Review
5.3 Method
5.4 Application of the Proposed Framework
5.5 Result Discussion
5.6 Managerial Implications
5.7 Conclusion
References
6 A Novel Hybrid Multi-objective Optimization Approach for Sustainable Delivery Systems with a Case Study of Izmir
6.1 Introduction
6.2 Literature Review
6.3 Methodology
6.4 Computational Experiments
6.4.1 Data
6.5 Results
6.6 Conclusion
References
7 When Green Technology Meets Optimization Modeling: The Case of Routing Drones in Logistics, Agriculture, and Healthcare
7.1 Introduction
7.2 Drone as a Green Technology
7.3 Drone: Industrial Applications
7.3.1 Logistics
7.3.2 Agriculture
7.3.3 Healthcare
7.4 Routing Considerations
7.4.1 A Brief Review of Drones on the Last Mile Delivery
7.4.2 Potential Formulations for Drone Routing
7.4.3 Some Computational Results
7.5 Conclusion and Potential Research Avenues
References
8 Routing Electric Vehicles with Remote Servicing
8.1 Introduction
8.2 Literature Review
8.2.1 Covering Routing Problems
8.2.2 Green Vehicle Routing Problems
8.3 Problem Description
8.4 Mathematical Model
8.5 BRKGA
8.5.1 Biased Random-Key Genetic Algorithm (BRKGA)
8.5.2 Decoding an ECCTP Solution from a Vector of Random Keys
8.6 Computational Experiments
8.6.1 Benchmark of Instances
8.6.2 Computational Settings
8.6.3 Experiment Results
8.7 Conclusion
References