Wyniki wyszukiwania - BazTech

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The synthesis model as a planning tool for effective supply chains resistant to adverse events

Semenov Iouri, Jacyna Marianna

Eksploatacja i Niezawodność

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2022

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Vol. 24, no. 1

140--152

EN

The article presents the problem of planning effective modular supply chains to resist adverse events. The lack of effective models for planning such supply chains based on the synergy of individual links widens the knowledge gap in this area. The analyses confirm the legitimacy of forming effective and reliable supply chains ready for fitting supplies to specific orders, adaptation to flexible and innovative transformations, and minimization of time losses and costs of restoring supply capacity in case of a threat. The authors provide a theoretical analysis of the problem and present a proprietary approach to constructing reliable modular supply chains in the automotive industry. It has been shown that the synergy effect can measure the effectiveness of the design of such chains. A proprietary synthesis model was presented. The model can serve as a tool to support the planning of modular supply chains that are resistant to adverse events.

2

Reliability estimation for manufacturing processes

Kostina M, Karaulova T., Sahno J., Maleki M.

Journal of Achievements in Materials and Manufacturing Engineering

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2012

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Vol. 51, nr 1

7--13

EN

Purpose: of the current research is to develop a reliability assessment method with an extension of the existing ones and pooling them to a common framework. The system must identify the most unreliable parts of a production process and suggest the most efficient ways for the reliability improvement. Design/methodology/approach: FMEA is in the centre of the proposed framework,a reliability analysis type, the most widely used in enterprises. The current research suggests to extend the FMEA by introducing a classification of faults. In this procedure, Bayesian Belief Network is employed to analyze faults. Findings: An integrated modelling method based on a system modelling and complemented with a reliability evaluation mechanism has the capability to analyse and design manufacturing systems. The tool developed to analyse a production process, enables companies to analyse the process as a whole as well as its parts and achieve efficient prognosis for the production process reorganization. Research limitations/implications: The reliability analysis framework is developed for machinery manufacturing enterprises. Practical implications: The reliability assessment tool helps engineers quickly and with accurate estimate most unreliable places of production process and indicates ways of their elimination with great efficiency. Originality/value: Expansion of FMEA method, application of Bayesian Belief Network for process reliability estimation, usage of reliability estimation during production route creation.

3

Modelowanie niezawodności złożonych systemów bioagrotechnicznych

Kusz A., Marciniak A.

Inżynieria Rolnicza

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2010

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R. 14, nr 4

157-162

PL

W artykule omówiono metodę modelowania niezawodności złożonych systemów bioagrotechnicznych. Przedstawiono koncepcję modelu niezawodności procesowej opartą na technologii sieci bayesowskich. Niezawodność procesu zdefiniowano jako miarę probabilistyczną na zbiorze wartości pewnego funkcjonału reprezentującego potencjalny plon i jego ewentualny spadek powodowany zagrożeniami biologicznymi i częściowo kształtowany poprzez warunki klimatyczne i działania interwencyjne. Ewolucję zmian niezawodności procesu odwzorowano korzystając z sieci dynamicznych, które uwzględniają lokalizację w czasie.

EN

The article deals with the method of modelling of reliability of complex bioagrotechnical systems. The concept of the model of process reliability based on the technology of Bayesian networks was presented. The reliability of the process was defined as a probabilistic measure on the set of values of a certain functional representing the potential yield and its possible decrease caused by biological threats and shaped partly by climate conditions and intervention actions. The evolution of changes of reliability of the process was mapped with the use of dynamic networks that take time location into account.

4

Process control using reliability based control charts

Jacob J. K., Sreejith P. S.

Journal of Achievements in Materials and Manufacturing Engineering

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2008

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Vol. 31, nr 2

498-504

EN

Purpose: The paper presents the method to monitor the mean time between failures (MTBF) and detect any change in intensity parameter. Here, a control chart procedure is presented for process reliability monitoring. Control chart based on different distributions are also considered and were used in decision making. Results and discussions are presented based on the case study at different industries. Design/methodology/approach: The failure occurrence process can be modeled by different distributions like homogeneous Poisson process, Weibull model etc. In each case the aim is to monitor the mean time between failure (MTBF) and detect any change in intensity parameter. When the process can be described by a Poisson process the time between failures will be exponential and can be used for reliability monitoring. Findings: In this paper, a new procedure based on the monitoring of time to observe r failures is also proposed and it can be more appropriate for reliability monitoring. Practical implications: This procedure is useful and more sensitive when compared with the λ-chart although it will wait until r failures for a decision. These charts can be regarded as powerful tools for reliability monitoring. λr gives more accurate results than λ-chart. Originality/value: Adopting these measures to system of equipments can increase the reliability and availability of the system results in economic gain. A homogeneous Poisson process is usually used to model the failure