Keyphrases
Batch Delivery
50%
Cluster-based
50%
Cohesion
50%
Cost Reduction
100%
Customer Dissatisfaction
50%
Customer Order
50%
Customer Potential
50%
Distribution Cost
50%
Distribution Routing
50%
Distribution Time
100%
Due Date
100%
Due Date Assignment
50%
Environmental Benefits
50%
Environmental Conditions
50%
Environmental Considerations
50%
Fleet Vehicles
100%
Fuel Cost
50%
Heterogeneous Fleet
100%
Heterogeneous Vehicles
50%
Integrated Scheduling
100%
Integrated Supply Chain
50%
Lost Customers
50%
Mixed Integer Nonlinear Programming
50%
Monetary Value
50%
Multi-objective Algorithm
50%
Multi-objective Ant Colony Optimization (MOACO)
50%
Multi-objective Particle Swarm Optimization (MOPSO)
50%
New Customers
50%
Non-dominated Sorting Genetic Algorithm (NSGA-II)
50%
Performance Criteria
50%
Potential Customer
50%
Problem Features
50%
Production Scheduling
100%
Production Time
50%
Production-distribution
50%
Resource Consumption
50%
Scheduling Problem
50%
Statistical Test
50%
Supply Chain
50%
Supply Chain Management
50%
Supply Chain Scheduling
50%
Tardiness
50%
Vehicle Routing
100%
Vehicle-based
50%
World Population
50%
Engineering
Ant Colony Optimization
100%
Environmental Benefit
100%
Fixed Costs
100%
Fuel Cost
100%
Management Chain
100%
Mixed-Integer Non-Linear Programming
100%
Non-Dominated Sorting Genetic Algorithm II
100%
Particle Swarm Optimization
100%
Performance Criterion
100%
Potential Customer
100%
Programming Model
100%
Resource Consumption
100%
Computer Science
Ant Colony Optimization
25%
Customer Order
25%
Decision-Making
25%
Metaheuristic Algorithm
25%
Monetary Value
25%
Multiobjective
100%
Non-Dominated Sorting Genetic Algorithm II
25%
Nonlinear Programming
25%
Particle Swarm Optimization
25%
Performance Criterion
25%
Potential Customer
25%
Programming Model
25%
Resource Consumption
25%
Scheduling Problem
25%
Supply Chain
75%
Vehicle Routing
100%
World Population
25%
Social Sciences
Decision Making
33%
Genetic Algorithm
33%
Statistical Test
33%
Supply Chain Management
100%
Vehicle Fleet
100%
World Population
33%