In this paper a sensitivity analysis for optimal solutions of the wellknown Duncan’s model is proposed to misspecification in the cost parameters. The analysis is performed both in the continuous case, i.e. when the production process continues in operation while searches for the assignable cause after a signal are made, and in the more realistic discontinuous case, i.e. when a signal causes a ...

The control chart (CC) is an important tool in Statistical Process Control (SPC) to improve the quality of products and processes. An unnatural variation in control maps assumes that an assignable cause affects the process is present, and some actions need to be applied to solve the problem. Thanks to their better recognition capability, NEURO-FUZZY is a powerful tool for process control and ra...

Runtime assertion checking is useful for debugging programs and specifications. Existing tools check invariants as well as method preand postconditions, but mostly ignore assignable (or modifies) clauses, which specify the heap locations a method is allowed to assign to. A way to abstract from implementation details is to specify assignable clauses using datagroups, which represent sets of conc...

The human-machine function allocation (HFA) strategy of manned submersibles is an important factor that affects the reliability oceanauts. However, uncertainty HFA makes its optimization very complicated. To this end, a non-cooperative game-based method proposed, which transforms multi-objective model mental workload and situation awareness (SA) under into game forms mapping relationship. Menta...

Control charts are used to identify the presence of assignable cause of variation in the process. Non-parametric control chart is an emerging area of recent development in the theory of SPC. Its main advantage is that it does not require any knowledge about the underlying distribution of the variable. In this paper a non-parametric control chart for controlling variability has been developed. I...

The control chart (CC) is an important tool in Statistical Process Control (SPC) to improve the quality of products and processes. An unnatural variation in control maps assumes that an assignable cause affects the process is present, and some actions need to be applied to solve the problem. Thanks to their better recognition capability, NEURO-FUZZY is a powerful tool for process control and ra...

Modern aircraft flight control relies on a complex network of interacting systems. These systems are safety critical systems, since a failure could have catastrophic consequences. It is therefore necessary to detect and isolate faults in aircraft control system components such as actuators or sensors before the fault is allowed to cause a system failure. Such detection and isolation could poten...