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EN
The overarching aim was to reduce the frequency of connection failures that occur due to the connection speed and reliability, and identify, characterise and optimise the key process input variables (KPIVs). An experimental research approach with an inbuilt planned manipulation to one or more variables in the experimental data set was adopted. Key elements of the Six-Sigma methodology were applied to resolve the issue of high failures due to connection speed and reliability between two Li-Fi transceivers. KPIVs were successfully identified, characterised and optimised to implement a permanent corrective action to ensure a reduction in connection failures from 17% to 0%. The alignment between two Li-Fi transceivers along with Li-Fi cut-out was found to be critical in achieving good connection speed and reliability. The interference due to ambient visible spectrum lighting found to be statistically insignificant. This study explored the application and benefits of accessible wireless data communication technologies. Moreover, it sheds light on the probable factors that may influence Li-Fi connection speed and areas for future research. The current research provides a Six- Sigma based solution to high connection failure rates while using an infrared-based Li-Fi transceiver. Results also offer insights into the analytical tools that were found to be effective during the problem-solving process.
EN
The research aims to emphasise the relevance of the Design of Experiments (DOE) technique as a reliable method for ensuring efficient use of statistical methods in routine industrial processes. A case study approach with a deductive strategy was used to assess the effectiveness of different DOE methods to achieve the desired objectives. Screening, mid-resolution and high-resolution DOE methods helped identify, characterise, and optimise an experimental variable against the desired output response. A general framework for effective DOE is provided as part of DOE planning, including defining DOE objectives, selection criteria, noise reduction, and application across industries. Overall, various DOE models proved successful in identifying a complicated relationship between experimental variables and output response. However, when ideal DOE models may not be feasible, reducing test run by choosing lower resolution DOE or fewer replicates can still provide important insights into the experimental variables’ impact on output responses.
3
Content available remote Koncepcja zarządzania jakością danych lotniczych
PL
Artykuł stanowi kontynuację prac autorów nad zagadnieniem sposobu zapewnienia jakości i bezpieczeństwa danych i informacji lotniczych, w całym procesie (rozpatrywanym jako łańcuch dostaw) tworzenia, gromadzenia, przetwarzania i publikacji danych i informacji lotniczych. Zaproponowano rozwiązania organizacyjne i systemowe, oparte na metodzie Six-Sigma i metodyce DMAIC oraz standardach międzynarodowych norm systemów zarządzania. Zgodnie z nimi zaproponowano przypisanie ról systemowych Six-Sigma w projekcie wdrażania i systemie zarządzania jakością danych i informacji lotniczych. Ponadto, odniesiono się do zagadnienia certyfikacji i wykazania obiektywnego dowodu zgodności z wymaganiami.
EN
The article is a continuation of the authors’ study on the ways to ensure the quality and safety of aeronautical data and information in the entire process (considered as the supply chain) of those data and information creation, collection, processing and publication. Organizational and system solutions, based on Six-Sigma method and DMAIC methodology as well as international standards on systems’ management were presented. According to them Six-Sigma system roles in implementation process and aeronautical data and information quality management system were assigned. Moreover, references to certification issues and objective evidence of compliance with requirements were made.
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