We develop a formal method for specifying an aggregate discrete-event simulation model of a production flow line manufacturing system. The methodology operates by aggregating production stations or resources of a flow line. Determining the specifications for representing the aggregated resources in a simulation model is the focus of our presentation. We test the methodology for a set of flow lines with exponentially distributed arrival and service times. Comparisons between analytical and simulation results indicate the aggregation approach is quite accurate for estimating average part cycle time
Discrete Event Simulation (DES) has been a powerful tool for modeling and optimization of production...
Improving production line performance and identifying bottlenecks using simulation-based optimizatio...
To test heuristic algorithms and techniques, researchers need numerous datasets so as to measure eff...
One of the more difficult tasks facing a modeler in developing a simulation model of a discrete part...
The application of discrete event simulation methodology in the analysis of higher level manufacturi...
Obtaining data-based decision support faster is a competitive advantage for companies. Faster decisi...
In conceptual analysis of higher level manufacturing systems, for instance, when the constraint on s...
Concepts for aggregate modeling and simulation are presented and applied for the setting of the para...
In this report we will present three approaches to model manufacturing systems in an aggregate way l...
Flow line production systems consist of a number of stages (arranged in series) at which operations ...
A simulation model for improving production flow lines. with multiple products and parallel machines...
Sustainable manufacturing includes efficient use of capital intensive manufacturing machines. For a ...
One approach to simulating a single-server tandem queuing system is to explicitly model each of the ...
Discrete Event Simulation (DES) has been a powerful tool for modeling and optimization of production...
Improving production line performance and identifying bottlenecks using simulation-based optimizatio...
To test heuristic algorithms and techniques, researchers need numerous datasets so as to measure eff...
One of the more difficult tasks facing a modeler in developing a simulation model of a discrete part...
The application of discrete event simulation methodology in the analysis of higher level manufacturi...
Obtaining data-based decision support faster is a competitive advantage for companies. Faster decisi...
In conceptual analysis of higher level manufacturing systems, for instance, when the constraint on s...
Concepts for aggregate modeling and simulation are presented and applied for the setting of the para...
In this report we will present three approaches to model manufacturing systems in an aggregate way l...
Flow line production systems consist of a number of stages (arranged in series) at which operations ...
A simulation model for improving production flow lines. with multiple products and parallel machines...
Sustainable manufacturing includes efficient use of capital intensive manufacturing machines. For a ...
One approach to simulating a single-server tandem queuing system is to explicitly model each of the ...
Discrete Event Simulation (DES) has been a powerful tool for modeling and optimization of production...
Improving production line performance and identifying bottlenecks using simulation-based optimizatio...
To test heuristic algorithms and techniques, researchers need numerous datasets so as to measure eff...