Membrane processes are today one of the key technologies for industrial gas separations and show growing interest for future use in sustainable production systems. Besides materials development, dedicated engineering methods are of major importance for the rigorous and most efficient design of membrane units and systems. Starting from approaches based on simplified hypotheses developed in the 5...

There is considerable interest in “re-engineering” business processes to take up the opportunities provided by information technology. The tools used in traditional data modelling and other forms of systems design have been adopted for use in analyzing processes. However, this adaptation is inadequate. This paper describes a method Process ANalysis Network (ProcessANN) that has been designed sp...

In presented paper a design model is developed which is used to find an optimal design space in order to improve precision and accuracy of reversed 3D models. Significant parameters and their mutual effects in scanning process are recognized with the help of Design of Experiments (DOE) principles, and in second step recognized significant parameters are also optimized using the RSM (Response Su...

Software engineering has learned a great deal about how to create clear and precise process definitions, and how to use them to improve final software products. This paper suggests that this knowledge can also be applied to good effect in many other domains where effective application of process technology can lead to superior products and outcomes. The paper offers medical practice and governm...

Process engineering involves a search for new models of organising work. This synthesis task can become quite di cult and time-consuming as the amount of detail required and interactions between activities increases. Domain independent AI planning o ers some promising techniques and representations to assist in this e ort. One of the major impediments to transferring this technology to applied,...

Two independent methods for improving quality are engineering process control (EPC) and statistical process control (SPC). The first method tries to minimize variability by handling process variables so as to keep the outputs of the process on target. While the latter method, SPC does the same basic task of minimizing variability by supervising and eradicating the assignable causes of variation...