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

Keyphrases

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

Social Sciences

• Optimization Model 100%
• Flowshop Scheduling 100%
• Production Scheduling 100%
• Environmental Economics 33%
• Social Economics 33%
• Energy Consumption 33%
• Environmental Factor 33%
• Computer Science 33%
• Computer Simulation 33%
• Economic and Social Development 33%
• Disruptive Event 33%
• Job Opportunity 33%
• Control Monitoring 33%
• Automobile 33%

Computer Science

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