The research focuses on increasing production volume and decreasing costs at a hardness test block manufacturer. A discrete event simulation model is created to investigate potential system wide improvements. Using the results from the simulation a production work-cell is proposed that will allow a single worker to operate 7 machines at a rate that exceeds existing production rates. This result...

Computer simulation is a method for studying complex systems that are not solvable with the use of standard analytical techniques. This contribution deals with the application of simulation program SIMUL8 to the analysis of production process in company Alteko, Inc. producing radial fans. The main purpose of the computer experiments is to identify the bottleneck processes and to suggest the man...

In print media industries networked production gains increasing importance. The relatively young XML based communication standard (JDF/JMF) allows to specify workflow models and data exchange. The proposed concept of a simulation framework for modelling of networked print production is based on an object-oriented approach implementing modules for the resources and controls applied in this parti...

We introduce a methodology for automated production planning of semiconductor manufacturing based on iterative linear programming (LP) optimization and discrete-event simulation calculations. The LP formulation incorporates epochdependent parameters for flow times from lot release up to each operation on each manufacturing route. LP-derived release schedules are used as input to the simulation ...

In this paper fuzzy set theory has been applied to discrete event simulation to model uncertainty in input data. Various approaches to fuzzy simulation have been proposed in literature, even if many problems are still to be solved. The key points are how to manage the simulation event list and how to update the fuzzy simulation clock. These two tasks are mainly based on the ranking algorithm. I...

Models that aim to optimize the design of supply chain networks have gained more interest in the supply chain literature. Mixed-integer linear programming and discrete-event simulation are widely used for such an optimization problem. We present a hybrid approach to support decisions for supply chain network design using a combination of analytical and discrete-event simulation models. The prop...

We describe the use of discrete event simulation in modeling the curbside vehicular traffic at airports. The dynamic nature of vehicular traffic poses a challenge in developing a discrete event simulation model to represent roadway operations. We present our simulation methodology in modeling the new Austin-Bergstrom International Airport and address the use of simulation in the design as well ...