Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 2

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
EN
Manufacturing firms continuously strive to increase the efficiency and effectiveness in the maintenance management processes. Focus is placed on eliminating the unexpected failures which cause unnecessary costs and the production losses. Risk-based maintenance (RBM) strategies enable to address the above through the identification of probability and consequences of potential failures whilst providing a way for prioritisation of maintenance actions based on the risk of possible failures. Such prioritisations enable to identify the optimal maintenance strategy, intervals of maintenance tasks, and optimal level of spare parts inventory. However, the risk assessment activities are performed with the support of a risk matrix. Suboptimal classifications and/or prioritisations arise due to the inherent nature of the risk matrix. This is caused by the fact that there are no means to incorporate actual circumstances at the boundary of the input ranges or at the levels of linguistic data and risk categories. In this paper, a risk matrix is first developed in collaboration with one of the manufacturing firms in Poland. Then, it illustrates the use of fuzzy logic for minimisation of suboptimal prioritisation and/or classifications using a fuzzy inference system (FIS) together with illustrative membership functions and a rule base. Finally, an illustrative risk assessment is also demonstrated to illustrate the methodology.
2
Content available remote Sustainable rice production: a case study on performance evaluation of a seeder
EN
Global rice production is confronting issues such as climate change and the scarcity of resource availability whilst the world's population continues to increase. The issues and opportunities for sustainable increase of rice production differ from one rice ecosystem to another due to degrees of intensification, crop management operations, and differences in environmental and socio-economic conditions. The existing, improved and promising technologies can employee to boost farmers' production and to increase their incomes, while ensuring sustainable rice production. By employing improved production methods can restore homeostatic mechanisms conductive to community stability, optimize the rate of turnover, ensure an efficient energy flow, and encourage local production of food items adapted to the natural and socioeconomic settings. This can reduce costs whilst increasing the efficiency and economic viability of small and medium-sized farms by promoting a diverse, potentially resilient agricultural system. This manuscript illustrates a case study of technological improvement introduced for manual rice seeder used for line hill seeding. Also, it provides a comparison between performance of manual broadcasting and improved manual conical rice hill seeder.
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.