Keyphrases
Closed-loop Supply Chain Network Design
66%
Under Uncertainty
66%
Quality of Returns
44%
Electric Vehicle Charging Station
33%
Numerical Experiments
33%
Multi-stage Stochastic Integer Programming
33%
Network Design Problem
33%
MILP Formulation
33%
Range Uncertainty
33%
Electric Vehicle Fast Charging
33%
Recovery Options
33%
Review Analysis
33%
International Facility Location
33%
Constraint Method
33%
Status Consumption
33%
Charging Station Location Problem
33%
MIP Heuristics
33%
MIP Formulation
33%
Distribution Network Design Problem
33%
Bi-objective
33%
Infrastructure Provider
33%
MILP Model
33%
Bi-level Programming
33%
Facility Location
33%
Bilevel Program
33%
Tabu Search Heuristic
33%
Driving Range
33%
Platoon Formation
33%
Charging Locations
33%
Electric Vehicle Sharing System
33%
Formation Planning
33%
Stochastic Modeling
27%
Mixed Integer Linear Programming Formulation
25%
Stochastic Model
25%
Facility Location Model
25%
Facility Location Problem
25%
Station Placement
22%
Distribution Center
16%
Heuristic Approach
16%
Heuristic Procedure
16%
Electric Vehicle
16%
Computation Time
16%
Non-dominated Sorting Genetic Algorithm (NSGA-II)
16%
Performance Level
16%
CO2 Emissions
16%
Maximum Distance
16%
Reverse Flow
16%
Value of Stochastic Solution
16%
Pareto Optimal Solution
16%
Recoverable Resources
16%
Collection Facilities
16%
System Profit
16%
Pareto Frontier
16%
Remanufacturing Cost
16%
Linear Programming Relaxation
16%
Network Performance
16%
Two-stage Stochastic Programming
16%
Feasible Solution
16%
International Factors
16%
Forward Flow
16%
Computational Performance
16%
Scenario Approach
16%
Road Network
16%
Uncertainty Type
16%
Partial Sampling
16%
MIP Solver
16%
Stochastic Optimization Problem
16%
Single Sourcing
16%
Network Configuration
16%
Product Distribution
16%
Quality Cost
16%
Bi-objective Model
16%
Two-phase Solutions
16%
Static Assignment
16%
Multi-period Facility Location Problem
16%
Multi-period Modelling
16%
Multi-period Model
16%
Primal-dual
16%
Recharge
16%
Transport Costs
16%
Computational Difficulty
16%
Relaxation-based
16%
Set-partitioning Formulation
16%
Long-distance Trips
16%
Station Capacity
16%
Global System
16%
Commercial Solver
16%
Capacity Consumption
16%
Single-period
16%
Time Limits
16%
Good Quality
16%
Strong Formulation
16%
Maximum Covering
16%
Detailed Scheduling
16%
Charging Point
16%
Revenue Expenditure
11%
Strategic Problems
11%
Charging Port
11%
Tactical Decisions
11%
Discrete Flow
11%
Computer Science
Supply Chain
100%
Network Design Problem
100%
Computation Time
83%
Recovery Option
66%
Quality Solution
50%
Tabu Search Heuristic
50%
Location Problem
41%
Power Consumption
33%
Network Design
33%
Feasible Solution
33%
Distribution Network
33%
Infrastructure Provider
33%
Location Decision
33%
Energy Consumption
33%
Autonomous Vehicles
33%
Optimization Problem
25%
Stochastic Optimization
25%
Stochastic Problem
22%
Linear Program
22%
Network Structures
22%
Network Configuration
16%
Objective Model
16%
Tabu Search
16%
Metaheuristics
16%
Mixed-Integer Linear Programming
16%
Stochastic Programming
16%
Deterministic Model
16%
Heuristic Method
16%
Pareto Frontier
16%
Stochastic Model
16%
Genetic Algorithm
16%
Network Performance
16%
Static Assignment
16%
Set Partitioning
16%
Linear Programming
16%
Approximation (Algorithm)
16%
Primal-Dual
16%
Optimality Condition
16%
Computational Experiment
16%
Case Study
16%
Pareto-optimality
16%
Network Constraint
16%
Multiple Region
16%
Strategic Resource
16%
Input Parameter
11%
Vehicle Relocation
11%
Solution Quality
8%
Variable Model
5%
Side Constraint
5%
Feature Constraint
5%
Engineering
Numerical Experiment
100%
Electric Vehicle
83%
EV Charging Station
66%
Supply Chain Network
66%
Closed Loop
66%
Computation Time
50%
Fast Charging Station
38%
Multistage
33%
Design Problem
33%
Charging Time
33%
Optimisation Problem
22%
Genetic Algorithm
22%
Energy Engineering
22%
Linear Program
22%
Battery (Electrochemical Energy Engineering)
16%
Search Method
16%
Joints (Structural Components)
16%
Road Network
16%
Linear Programming
16%
Stochastic Model
16%
Reverse Flow
16%
Stochastic Solution
16%
Pareto Frontier
16%
Return Quantity
16%
Remanufacturing
16%
Mixed-Integer Linear Programming
16%
Fuel Vehicle
16%
Side Constraint
16%
Feasible Solution
16%
Platooning
16%
Pareto Optimal Solution
16%
Main Input
16%
Model Type
16%
Single Period
16%
Additional Cost
16%
Reformulation
16%
Location Model
8%
Tactical Decision
8%
Charging Infrastructure
5%
Solution Method
5%
Planning Horizon
5%
Programming Model
5%
Simulation Experiment
5%
Limited Range
5%
Solution Algorithm
5%
