Hazard and Risk Analysis for Ring Spinning Yarn Production Process by Integrated Fta-Fmea Approach

Mutlu, Nazli Gulum; Altuntaş, Serkan

doi:10.32710/tekstilvekonfeksiyon.482167

Cited by 21 publications

(14 citation statements)

References 23 publications

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“…Risk analysis studies that have attracted attention recently in the textile field can also be summarized in the following. Mutlu and Altuntas developed an approach based on FMEA and Fault Tree Analysis (FTA) to analyze the ring yarn manufacturing process in the textile industry [34]. Fithri et al proposed an approach to reduce defects at PT Unitex using FMEA, Pareto analysis, and fishbone diagrams in a textile company [35].…”

Section: Literature Reviewmentioning

confidence: 99%

Creating proactive behavior for the risk assessment by considering expert evaluation: a case of textile manufacturing plant

Karaşan

Erdoğan

2021

Complex Intell. Syst.

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Applying risk assessment approaches to improve quality in enterprises is of great importance especially for sectors that are labor-intensive and thus frequently encountered failures. One of the methods frequently used to take precautions against failures caused by high variability in this type of sector is failure mode and effects analysis (FMEA). In this study, a hybrid FMEA approach is proposed so as to take measures against failures in the textile sector where there are high-quality differences due to its structure and failures frequently occurred. Since the different combinations of risk parameters’ scores may produce the same risk degree based on the function of the FMEA’s basis, misleading results for the risk analysis in the practical risk management can be occurred. Moreover, the risk priority number (RPN) function has a limitation in the weight determining process, since it assigns the equal weight for each risk parameter in the classical FMEA. To overcome these shortcomings in the RPN calculation for the risks in the FMEA approach, a multi-criteria decision-making (MCDM) approach is applied under the framework of fuzzy logic. Through that, in this study, we aimed to prove an expert system based on the rules that specifically focusing on the risk sources of the woven fabric industry. To create such a rule-based system, inputs are generated using fuzzy AHP and modified fuzzy TOPSIS. A case study is carried out with the method proposed in a textile mill, and it is determined which risks arising from failures are higher. For the validation of the results, a comparative analysis is conducted. Moreover, for the robustness of the decisions, one-at-a-time sensitivity analysis with respect to different scenarios are applied. As a result of the analyses, it is shown that our proposed model can be used as an efficient proactive risk calculator for the managers or researchers to make useful inferences, judgments, and decisions of the production processes for eliminating the shortcomings of the traditional FMEA.

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Section: Literature Reviewmentioning

confidence: 99%

Creating proactive behavior for the risk assessment by considering expert evaluation: a case of textile manufacturing plant

Karaşan

Erdoğan

2021

Complex Intell. Syst.

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“…Nevertheless, the traditional FMEA has been widely used in numerous fields including manufacturing [31,32], marine [33,34], aerospace [35,36], healthcare [37][38][39] and electronics [40][41][42]. The application of crisp values in the traditional FMEA has been strongly criticized by researchers [43][44][45].…”

Section: Fuzzy Fmea (Phase 2)mentioning

confidence: 99%

Risk Prioritization for Failure Modes in Mining Railcars

Rahimdel

Ghodrati

2021

Sustainability

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Railway transportation systems are generally used to transport minerals from large-scale mines. Any failure in the railcar components may cause delays or even catastrophic derailment accidents. Failure mode and effect analysis (FMEA) is an effective tool for the risk assessment of mechanical systems. This method is an appropriate approach to identify the critical failure modes and provide proper control measures to reduce the level of risk. This research aims to propose an approach to identify and prioritize the failure modes based on their importance degree. To achieve this, the analytical hierarchy process (AHP) is used along with the FMEA. To compensate for the scarcities of the conventional FMEA in using the linguistic variables, the proposed approach is developed under the fuzzy environment. The proposed approach was applied in a case study, a rolling stock operated in an iron ore mine located in Sweden. The results of this study are helpful to identify not only the most important failure modes but also the most serious and critical ones.

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“…In this study, FTA and FMEA are used for performing failure analysis on the critical function level failure modes to define countermeasure action [18], [19]. Fault Tree Analysis is a structured diagram analysis that identifies elements that can cause system failure to analyze the impact of emerging risks [4], [20] and determines the specific level of error based on deductive logic [21].…”

Section: Introductionmentioning

confidence: 99%

“…FMEA is a systematic and structured approach to define, identify, and eliminate all potential failure modes and their effects [5], [24], [25]. FMEA is an effective tool and one of the most commonly used in different industries [19], [26], [27] to identify sources and root causes of quality problems and then prepare countermeasures and priorities actions that need to be addressed, starting with the highest priority ones. FMEA is also documenting current knowledge and actions about the risks of continuous improvement failures.…”

Section: Introductionmentioning

confidence: 99%

Problem-solving step analysis for increasing tire static balance levels: a case study

Febriana¹,

Herlambang²,

Hernadewita³

et al. 2021

j. sist. manaj. ind.

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One of the company's efforts in implementing the commitment to customer satisfaction is carried out through continuous improvement activities. All indicators are evaluated to determine the level of quality stability against process variations that will impact non-compliance with predetermined product specifications. One of the quality problems found in the tire manufacture industry is the out-percentage of tire uniformity, which suddenly increases, one of which is the value of static balance. This study analyses the process variation factors that occur to take corrective and preventive actions through a series of Root Cause Analysis (RCA), Fault Tree Analysis (FTA), and Failure Mode and Effect Analysis (FMEA). Refers to the analysis result, it was found that there was a problem with the rubber film gauge variation at the manufacturing step of the steel breaker, one of the material components in the tire construction. Two main factors cause rubber film thickness variation: rubber sticky with roll calendar, Radial Run Out (RRO) Roll Calendar out standard, and viscosity compound variation with 12 root problems found. The results of the improvements that have been made can effectively improve rubber film thickness variation, increase the Cpk level of steel breaker material from 0.82 to 1.91 and reduce the out percentage ratio of static balance by 54.65%.

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Hazard and Risk Analysis for Ring Spinning Yarn Production Process by Integrated Fta-Fmea Approach

Cited by 21 publications

References 23 publications

Creating proactive behavior for the risk assessment by considering expert evaluation: a case of textile manufacturing plant

Creating proactive behavior for the risk assessment by considering expert evaluation: a case of textile manufacturing plant

Risk Prioritization for Failure Modes in Mining Railcars

Problem-solving step analysis for increasing tire static balance levels: a case study

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