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

Keyphrases

• Discrete Event Simulation 100%
• Network Loss 100%
• Production Rate 100%
• Perishable Products 100%
• Perishable Goods 100%
• System Cost 100%
• Taguchi Method 100%
• Failure-prone 100%
• Failure-prone Manufacturing System 100%
• Manufacturing Machines 100%
• Manufacturing Organizations 50%
• Manufacturing Systems 50%
• Numerical Examples 50%
• Averaged System 50%
• Decision Variables 50%
• Global Market 50%
• System Failure 50%
• Production Planning 50%
• Hedging Point Policy 50%
• Uncertainty Conditions 50%
• Optimum Rate 50%
• Arena Software 50%
• Competitive Power 50%
• Production Base 50%
• Machine Manufacturing 50%
• Stochastic Factors 50%
• Estimating System 50%

Engineering

• Gas Fuel Manufacture 100%
• Discrete Event Simulation 100%
• Taguchi Method 100%
• System Cost 66%
• Manufacturing Machine 66%
• Numerical Example 33%
• Decision Variable 33%
• Manufacturing Organization 33%
• Production Planning 33%
• Optimal Value 33%
• Final Product 33%