Multi-objective resource assignment problem in a product-driven supply chain using a Taguchi-based DNA algorithm

Keyphrases

• Supply Chain 100%
• Assignment Problem 100%
• DNA Sequencing 100%
• Resource Assignment 100%
• Taguchi 100%
• Product Characteristics 66%
• Particle Swarm Optimization 66%
• Taguchi Method 33%
• Design Process 33%
• Near-optimal 33%
• Design Considerations 33%
• Problem Instances 33%
• Fast Convergence Rate 33%
• Delivery Time 33%
• Intangible Factors 33%
• Design Requirements 33%
• Timing Optimization 33%
• Quality of Delivery 33%
• Statistical Experimental Design 33%
• DNA Strands 33%
• Causes of Variation 33%
• Volume Flexibility 33%
• Random Search Optimization 33%
• Resource Type 33%
• Delivery Flexibility 33%
• Delivery Volume 33%
• Time-varying Acceleration Coefficients 33%
• Solution Methodology 33%
• Integrated Supply Chain 33%
• Global Exploration 33%
• Multiple Objective Optimization 33%
• Weighted Sums 33%
• Exploration Capability 33%

Engineering

• Particle Swarm Optimization 100%
• Design Process 50%
• Multiobjective Optimization 50%
• Design of Experiments 50%
• Convergence Rate 50%
• Design Consideration 50%
• Desired Product 50%
• Design Requirement 50%
• Taguchi Method 50%
• Strand 50%

Computer Science

• Supply Chain 100%
• Assignment Problem 100%
• Multiobjective 100%
• Particle Swarm Optimization 50%
• Multi-Objective Optimization 25%
• Problem Instance 25%
• Fast Convergence 25%
• Metaheuristics 25%
• Design Requirement 25%
• Convergence Rate 25%
• Design Consideration 25%
• Desired Product 25%