Computational study of network-based mixed-integer programming approaches for chemical production scheduling

Keyphrases

• Computational Study 100%
• Network Applications 100%
• Mixed Integer Programming 100%
• Process Networks 100%
• Programming Approaches 100%
• Chemical Production Scheduling 100%
• Problem Instances 50%
• Further Development 50%
• Discrete-time 50%
• Solution Method 50%
• Modeling Method 50%
• Modeling Capability 50%
• Computational Requirements 50%
• Discrete-time Model 50%
• Continuous-time Model 50%
• Scheduling Approach 50%
• Batch Process 50%
• Backlog 50%
• Production Scheduling Problem 50%
• Variable Processing Times 50%
• Time Utility 50%
• Continuous-time Representation 50%
• Modelling Aspects 50%
• Modeling Approaches 50%
• Computational Comparison 50%
• Computational Performance 50%

Computer Science

• discrete-time 100%
• Continuous Time 100%
• Mixed Integer Programming 100%
• Process Network 100%
• Production Scheduling 100%
• Problem Instance 50%
• Objective Function 50%
• Scheduling Problem 50%
• Processing Time 50%
• Solution Method 50%