An Optimization Model for Smart and Sustainable Distributed Permutation Flow Shop Scheduling

Keyphrases

• Acceptable Limits 50%
• Adaptation 50%
• Disruptive Events 50%
• Distributed Permutation Flowshop 50%
• Distributed Permutation Flowshop Scheduling 100%
• Economic Considerations 50%
• Economic Factors 50%
• Energy Consumption 50%
• Environmental Considerations 50%
• Environmental Factors 50%
• Industrial Informatics 50%
• Industrial Technology 50%
• Job Opportunities 50%
• Lost Workdays 50%
• Machine Breakdown 50%
• Makespan 50%
• Monitoring Control 50%
• New Task 50%
• Numerical Simulation 50%
• Optimization Model 100%
• Processing Time 50%
• Production Scheduling 50%
• Sensitivity Analysis 50%
• Smart Manufacturing 100%
• Social Considerations 50%
• Social Factors 50%
• Superior Performance 50%
• Sustainable Production Scheduling 100%
• Task Processing 50%
• Task Scheduling 100%
• Unexpected Tasks 50%

Computer Science

• Case Study 33%
• Energy Consumption 33%
• Flowshop Scheduling 100%
• Numerical Simulation 33%
• Processing Time 33%
• Production Scheduling 100%
• Superior Performance 33%
• task-scheduling 66%

Engineering

• Acceptable Limit 50%
• Disruption 50%
• Flowshop Scheduling 100%
• Processing Time 50%
• Sustainable Production 100%