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EN
In complex socio-technical systems there is an influence of safe unwanted events on the occurrence of accidents. It is like domino bricks. Therefore, it is not only the recovery from major events that is important, but also the recovery from disruptions in operation. As the literature review shows, the recovery of operation processes is analysed by single criterions for small disruptions. On the other hand, resilience research is focused on the network and major events, but not on frequent small-consequence events that affect operational processes. The performance of a system is a key parameter when evaluating resilience. As a result of the performed literature survey, the aim of the paper was to propose a new method for evaluating performance in terms of operational processes and resilience analysis. Moreover, it is also important to order the most important terms related to this issue, as well as to introduce new types of qualities, which are not only focused on the system, but also on the implemented operational processes. The paper consists of eight sections. The introduction section describes generally the problem, that leads to formulation of the aim of the paper and description of its structure. It is followed by the second section consisting of a complex literature survey. Section three orders the reliability, robustness and resilience definitions. Section four analyses the performance influencing factors using Fault and Event Tree Analysis, while section five defines the operational layer of the system and shows a formal description of operation processes. Section six presents the operation process evaluation model. It was elaborated using the Fuzzy Logic approach, that allows combining of incoherent system and process qualities: punctuality, probability no further delays, quantitative implementation of scheduled processes, reconfiguration level. Afterwards a case study is shown to present the method application. The performed case study shows the advantages of the proposed approach, which is related to the most common methods. The paper ends with conclusions and further research perspectives.
EN
In this paper the method of improving production control in engineer to order [ETO] small and medium sized enterprises is presented. Briefly, the strategy of Mass Customization [MC] and a concept of the hybrid MC-ETO production system are demonstrated. Thereafter, a method of choosing components for small batch manu-facturing in advance, under conditions of single unit ETO production system, with application of fuzzy logic is described. This approach can be used in ETO companies during their transition into the hybrid MC-ETO production systems. The research was done in a collaboration with experts from the real ETO pro-duction system, in Polish SME, which manufactures mechanical parts.
PL
Wiele technik śledzenia maksymalnego punktu pracy (MPPT) paneli fotowoltaicznych zostało do tej pory opracowanych. Jednakże najbardziej powszechne metody to: P&O (Perturb and Observe) , IC (Incremental Conductivity) oraz Fuzzy Logic. W artykule tym zaprezentowano porównanie metod P&O, IC oraz Fuzzy Logic pod względem sprawności działania przy zmieniających się warunkach nasłoneczniania oraz stałej temperaturze pracy.
EN
Many techniques for tracking the maximum power point (MPPT) of photovoltaic panels have been developed so far. However, the most common methods are: P & O (perturb and Observe), IC (Incremental Conductivity) and Fuzzy Logic. This article presents a comparison between P&O and Fuzzy Logic methods in terms of efficiency, when changing some weather conditions at a constant temperature.
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