Risk Assessment of Non-repetitive Production Processes

Behún, Martin; Kleinova, Jana; Kamaryt, Tomáš

doi:10.1016/j.proeng.2014.03.120

Cited by 5 publications

(6 citation statements)

References 4 publications

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“…In ET, qualitative analysis identifies possible outcome events from a source event, while quantitative analysis estimates the probability or frequency of the outcome event (probability) for the tree. Similar to ET, an FTA is a logical and graphical BT [10,[20][21][22][23][24][25][26] Decision tree analysis [27][28][29][30] Disruption analysis network [31] FMEA [32][33][34][35][36][37][38][39][40][41][42][43] FTA [15,[44][45][46][47][48][49][50][51] Games theory [52][53][54] Hybrid PNs [55] Interpretive structural modeling [56][57][58] Multiple regression model [59][60][61] PN [62,63] Simulation [64,65] Supply ...…”

Section: Resultsmentioning

confidence: 99%

Quantitative and Qualitative Models for Managing Risk Interdependencies in Supply Chain

Díaz-Curbelo

Municio

2021

Lecture Notes in Management and Industrial Engineering

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The interdependent nature of supply chain elements and events requires risk systems must be assessed as an interrelated framework to optimize their management and integrate effectively with other decision-making tools in uncertain environments. This research shows a synthesis and analysis of the main qualitative/quantitative methods that have been used in the literature considering the treatment of event dependencies in supply chain risk management in the period 2003-2018. The results revealed that the integration with disruption analysis tools and artificial intelligence methods are the most common types adopted, with increasing trend and effectiveness of Bayesian and fuzzy theory approaches.

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Section: Resultsmentioning

confidence: 99%

Quantitative and Qualitative Models for Managing Risk Interdependencies in Supply Chain

Díaz-Curbelo

Municio

2021

Lecture Notes in Management and Industrial Engineering

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“…Even though some of them include quality and maintenance aspects, this paper will be reviewed with more impact on risk management. Risk analysis (Hietikko et al, 2011;Lo et al, 2019;Macedo and Jones, 2000;Brown, 2007;Mili et al, 2008;Shah et al, 2012;Shah, 2013;Behún et al, 2014;Kremljak and Kafol, 2014;Altinisik and Hugul, 2020;Huang et al, 2020;Wu et al, 2021) Risk management (Islam and Tedford, 2012;Karkoszka, 2013;Zetterlund et al, 2016;Ratnayake and Antosz, 2017;Bastchen et al, 2018;Crespo et al, 2018;Shafqat et al, 2019;Johnson and Bogle, 2019;Gorecki et al, 2019Lamine et al, 2020Kayis et al, 2007;Bassetto et al, 2011;Bauer et al, 2014 Cube andCui et al, 2016;Thekdi and Aven, 2016;Shahtaheri et al, 2017;Tupa et al, 2017;Bevilacqua and Ciarapica, 2018;Oduoza, 2020;Stürmlinger et al, 2020;Wen et al, 2021;Utiyama et al, 2021) Performance and risk management (Thekdi and Aven, 2019) Quality control and risk management (Kawai, 2013;Bettayeb et al, 2014) Quality and risk management (Lundgren et al, 2016;…”

Section: Risk Management Overview and Tabulationmentioning

confidence: 99%

Quality and Risk Management in Industrial Production Systems: A Literature Review

Baltag

Morariu

2022

Bulletin of the Polytechnic Institute of Iași. Machine Constructions Section

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Nowadays quality management and specific tools can represent a challenge in SMEs (small and medium enterprises). To assure the expected quality of the products, SPC (statistical process control) combined with industry 4.0 specifics offer instantaneous responses and triggers for needed actions. Therefore, risk analyses are used as enablers for quality-oriented behaviour, and risk mitigation and identification, together with collected data, represent a comprehensive system that leads enterprises to achieve the expected performance level needed to remain competitive in the market. In addition, risk management and quality management cannot be treated without looking at the maintenance activities and policies which can have a considerable impact on those two. This paper provides a comprehensive literature review of the papers from the quality management sector and articles where risk management and maintenance are seen as facilitators for quality improvement with an impact on the performance level. The main contribution of each paper is listed in the table which simplifies the reader’s access to the work done in the field and the overview presented enables easy access to trends in this field and offers a starting point for future research by presenting the gaps.

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“…Moreover, a number of studies may be found in the literature covering the risk analysis of production processes/systems performance based on the use of basic reliability analysis methods (e.g. [4,25,52]), or diagnostics and forecasting for maintenance of production systems and processes (e.g. work [57]).…”

Section: Supportabilitymentioning

confidence: 99%

“…Ponadto, w literaturze można także znaleźć szereg opracowań obejmujących analizę ryzyka funkcjonowania procesów/systemów produkcyjnych w oparciu o zastosowanie podstawowych metod analizy niezawodnościowej (np. prace [4,25,52]), czy zagadnienia diagnostyki i prognozowania w zakresie utrzymania systemów i procesów produkcyjnych (np. praca [57]).…”

Section: Zapewnienie śRodków Obsługiunclassified

Assessment methods of production processes reliability – state of the art

Chlebus

Werbińska-Wojciechowska

2017

Journal of KONBiN

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Risk Assessment of Non-repetitive Production Processes

Cited by 5 publications

References 4 publications

Quantitative and Qualitative Models for Managing Risk Interdependencies in Supply Chain

Quantitative and Qualitative Models for Managing Risk Interdependencies in Supply Chain

Quality and Risk Management in Industrial Production Systems: A Literature Review

Assessment methods of production processes reliability – state of the art

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