Using discrete - event simulation and the Tagouchi method for optimizing the production rate of network failure-prone manufacturing systems with perishable goods

Keyphrases

• Discrete Event Simulation 100%
• Network Loss 100%
• Production Rate 100%
• Perishable Goods 100%
• Failure-prone Manufacturing System 100%
• Production System 66%
• Failure-prone 66%
• Production Organization 33%
• Numerical Examples 33%
• Decision Variables 33%
• System Failure 33%
• Production Planning 33%
• Hedging Point Policy 33%
• Uncertainty Conditions 33%
• Perishable 33%
• Perishable Products 33%
• System Cost 33%
• Optimum Production 33%
• Arena Software 33%
• Repair Cost 33%
• Competition Power 33%
• Corrective Maintenance 33%
• Stochastic Factors 33%
• Estimating System 33%

Engineering

• Gas Fuel Manufacture 100%
• Discrete Event Simulation 100%
• Production System 100%
• Numerical Example 50%
• Decision Variable 50%
• Production Planning 50%
• System Cost 50%
• Final Product 50%
• Repair Cost 50%
• Considered System 50%