Management games are well-established techniques for improving the understanding and appreciation of realistic problems. Flight Simulators [4] where students “fly” a particular aspect of an enterprise are particularly rewarding. A web-based virtual factory and simulator platform for teaching industrial statistics and process improvement techniques has been developed. It provides students with e...

A PC-based simulator of non-linear multiple-input multiple-output dynamic systems was employed for studies concerning the on-line estimation of both 'non-measured' state variables and multiple specific growth rates of a virtual baker ́s yeast fed-batch fermentation. The identification algorithms were implemented in an 'Observer Computer' which received, optionally in 'real-time', in 'scaled time...

This article presents the formulation and the solution of a class of Mixed-integer Nonlinear Programming (MINLP) problems, applied to optimal synthesis of process systems in a modular simulator environment. The proposed algorithm makes use of module, reduces the work of calculation on model equations, makes the size of MINLP smaller. The algorithm consists of solving alternate sequences of MILP...

An autonomous machine tool has been developed to solve fundamental issues with the current command method using NC programs, and some key technologies for its realization have been devised. In the process planning system, various process plans are prepared, and the appropriate process plan can be selected to achieve flexible machining operations. Digital Copy Milling, digitizing the principle o...

nowadays, membrane processes are widely used for high purity nitrogen production. separation of air by membranes is a flexible process in which the investment and operational costs are lower than for example adsorption or cryogenic processes. such processes are based on relative permeability of air components which are transported by the pressure difference between two sides of the membrane. ma...

One novel approach to soft sensing is to use a high fidelity online dynamic simulation model connected to the plant information system. In this approach, the dynamic simulator takes a direct feed of information from the plant process instrumentation and control system, and can then predict process parameters that are not physically measured in the plant. The model can also estimate key equipmen...

Many methods for complex systems control use a black box approach where the internal states and mechanisms of the controlled process are not needed to be known. Usually, such systems are tested on simulations before their validation on the real world process they were made for. These simulations are based on sharp analytical models of the target process that can be very difficult to obtain. But...

The goal of a driving simulator is to produce an environment for a driver similar to the real driving scenario. Motion cueing algorithms are used to produce a realistic motion while respecting the workspace limitations and motion simulator boundaries. Model Predictive Control has become popular recently for motion cueing. However, in this control method, the optimization is based on a predefine...

One novel approach to soft sensing is to use a high fidelity online dynamic simulation model connected to the plant information system. In this approach, the dynamic simulator takes a direct feed of information from the plant process instrumentation and control system, and can then predict process parameters that are not physically measured in the plant. The model can also estimate key equipmen...