Multi-objective Management in Freight Logistics: Increasing Capacity, Service Level and Safety with Optimization Algorithms

Preface
Acknowledgements
Contents
List of Figures
List of Tables
1 Freight Logistics: An Overview
	1.1 Some Data on Freight Logistics
	1.2 Trends in Freight Logistics
		1.2.1 Logistics Sprawl
		1.2.2 Central Business Districts Logistics
		1.2.3 Multi-stage Logistics
	1.3 Vehicle Routing Problems
2 Multi-objective Optimization
	2.1 Multi-objective Management
	2.2 Multi-objective Optimization and Pareto-Optimal Solutions
	2.3 Techniques to Solve Multi-objective Optimization Problems
		2.3.1 The Scalarization Technique
		2.3.2 The ε-Constraints Approach
		2.3.3 Example and Implementation
		2.3.4 Goal Programming
		2.3.5 Example and Implementation
		2.3.6 Multi-level Programming
	2.4 Multi-objective Optimization Integer Problems
		2.4.1 Multi-objective Shortest Paths
		2.4.2 Multi-objective Traveling Salesman Problem
		2.4.3 Other Applications of Multi-objective Optimization
	2.5 Multi-objective Optimization by Metaheuristics
3 Green Supply Chain Management
	3.1 Introduction
	3.2 Green Corridors
		3.2.1 Problem Definition and Mathematical Formulation
		3.2.2 Implementation Details and Computational Results
	3.3 Network Design in a Green Supply Chain
		3.3.1 Problem Definition and Mathematical Formulation
		3.3.2 Implementation Details and Computational Results
4 Maritime Freight Logistics
	4.1 Capacity and Service Level in a Maritime Terminal
		4.1.1 The Simulation Setting
		4.1.2 The Simulation Model
		4.1.3 Simulation Result Analysis
	4.2 Final Remarks and Perspectives on Multi-objective Scenarios
	4.3 Container Allocation in a Maritime Terminal and Scheduling ...
		4.3.1 Containers Allocation in a Maritime Terminal
		4.3.2 Formulation of the Allocation Model
		4.3.3 Implementation Details
	4.4 Scheduling of Customs Inspections
		4.4.1 Implementation Details
		4.4.2 Experimental Results
5 Hazardous Material Transportation Problems
	5.1 Introduction
	5.2 Multi-objective Approaches to Hazmat Transportation
		5.2.1 The Problem of the Risk Equity
		5.2.2 The Uncertainty in Hazmat Transportation
		5.2.3 Some Particular Factors Influencing Hazmat Transportation
		5.2.4 Technology in Hazmat Transportation
	5.3 Risk Evaluation in Hazmat Transportation
		5.3.1 Risk Models
		5.3.2 The Traditional Definition of Risk
		5.3.3 Alternative Definition of Risk
		5.3.4 An Axiomatic Approach to the Risk Definition
		5.3.5 Quantitative Analysis of the Risk
	5.4 The Equity and the Search for Dissimilar Paths
		5.4.1 The Iterative Penalty Method
		5.4.2 The Gateway Shortest Paths (GSPs) Method
		5.4.3 The Minimax Method
		5.4.4 The p-Dispersion Method
		5.4.5 A Comparison Between a Multi-objective Approach and IPM
	5.5 The Hazmat Transportation on Congested Networks
		5.5.1 Multi-commodity Minimum Cost Flow with and Without Congestion
		5.5.2 Test Problems on Grid Graphs
		5.5.3 The Linearized Model with Congestion
	5.6 The Problem of Balancing the Risk
		5.6.1 Problem Formulation
	5.7 Bi-level Optimization Approaches to Hazmat Transportation
6 Heterogeneous Fleets Distribution Models
	6.1 Introduction
	6.2 Deliveries with Drones in Health Emergency
		6.2.1 The Mathematical Formulation
		6.2.2 Implementation Details and Experimental Results
	6.3 Truck and Drones Fleets for Goods Delivery
		6.3.1 The Mathematical Formulation
		6.3.2 Implementation Details and Experimental Results
	6.4 Truck and Bike Fleets
		6.4.1 The Mathematical Formulation
Appendix  References
Index