Forecasting Machine Failure Using DMG and Weibull Analysis in an Automotive Industry: A Case Study

Shah, Kamran; Khurshid, Hassan; Haq, Izhar Ul; Shah, Shaukat Ali; Ali, Zeeshan

doi:10.22581/muet1982.2102.17

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…In most industries, ineffective maintenance management can result in the loss of capital and inefficient human resource deployment. This, in turn, affects the plants' ability to manufacture quality steel that is competitive in the market [13,58,66,67]. Lastly, in terms of product quality and customer satisfaction, increasing customer satisfaction by producing quality products at low cost is a major concern for businesses.…”

Section: Discussionmentioning

confidence: 99%

“…The utilization of MCDM models in steel manufacturing companies not only provides practical insights and guidance for decision-makers but also contributes to the literature by offering a systematic and comprehensive approach to addressing sustainability challenges. These models enhance our understanding of the complex interplay between decision-making factors and their impact on sustainability outcomes, thereby advancing knowledge in the field and paving the way for more informed and sustainable practices in the steel manufacturing industry [13,43,58,[67][68][69][70].…”

Section: Discussionmentioning

confidence: 99%

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Decision-Making Approach in Sustainability Assessment in Steel Manufacturing Companies—Systematic Literature Review

Depczyński,

Secka,

Cheba

et al. 2023

Sustainability

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Sustainability is understood as a balanced integration of economic, ecological, and social aspects. Sustainable manufacturing can be considered one of the most important issues to address in the pursuit of sustainable development. The main purpose of the paper is to identify the most important directions of research to date and to indicate new and emerging areas of research concerned with the usage of decision-making methods in sustainability assessment in steel manufacturing companies. A systematic review was based on the publications indexed in the Web of Science and Scopus databases. In the analysis, the correspondence analysis and log-linear model were applied. To sum up, this study examines decision-making modalities and sustainable performance in terms of approaches that influence sustainability in steel manufacturing. Firstly, the study determined key decision-making aspects, such as the appropriate material identification for the manufacturing process and material labeling for the manufacturing process, which is essential for sustainable metal products. Secondly, the identification of sustainability indicators is considered vital in the hierarchical process as their integration is essential for the decision-making process and its outcome. Furthermore, system efficiency and productivity, alongside increasing attention to environmental protection, have led to significant changes in all production systems. In addition, many factors play an important role in the selection of suppliers, such as increasing the importance of the environment, increasing the recycling rate of the products, and ensuring sustainability performance. However, companies in the steel manufacturing industry rely little on the application of decision-making to assess sustainability.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Decision-Making Approach in Sustainability Assessment in Steel Manufacturing Companies—Systematic Literature Review

Depczyński,

Secka,

Cheba

et al. 2023

Sustainability

View full text Add to dashboard Cite

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Throughput Approximation by Neural Network for Serial Production Lines With High Up/Downtime Variability

Kim,

Won,

Park

et al. 2024

IEEE Trans. Ind. Inf.

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Employing Neural Networks, Fuzzy Logic, and Weibull Analysis for the Evaluation of Recycled Brick Powder in Concrete Compositions

Mohtasham Moein,

Rahmati,

Mohtasham Moein

et al. 2024

Buildings

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Using construction and demolition (C&D) waste in concrete production is a promising step toward environmental resilience amid the construction industry’s ecological footprint. The extensive history of using bricks in the construction of buildings has resulted in a considerable amount of waste associated with this commonly used material. This study aimed to assess the quality of concrete by examining the effect of replacing cement with varying percentages of recycled brick powder (RBP—0% to 50%). The primary objectives include evaluating the mechanical properties of concrete and establishing the feasibility of using RBP as a partial cement substitute. The investigation of target concrete can be divided into two phases: (i) laboratory investigation, and (ii) numerical investigation. In the laboratory phase, the performance of concrete with RBP was assessed under short-term dynamic and various static loads. The drop-weight test recommended by the ACI 544 committee was used to assess the short-term dynamic behavior (352 concrete discs). Furthermore, the behavior under static load was analyzed through compressive, flexural, and tensile strength tests. During the numerical phase, artificial neural network models (ANN) and fuzzy logic models (FL) were used to predict the results of 28-day compressive strength. The impact life with different failure probabilities was predicted based on the impact resistance results, by combining the Weibull distribution model. Additionally, an impact damage evolution equation was presented for mixtures containing RBP. The results show that the use of RBP up to 15% caused a slight decrease in compressive, flexural, and tensile strength (about 3–5%). Also, by replacing RBP up to 15%, the first crack strength decreased by 7.15% and the failure strength decreased by 6.46%. The average error for predicting 28-day compressive strength by FL and ANN models was recorded as 4.66% and 0.87%, respectively. In addition, the results indicate that the impact data follow the two-parameter Weibull distribution, and the R2 value for different mixtures was higher than 0.9275. The findings suggest that incorporating RBP in concrete can contribute to sustainable construction practices by reducing the reliance on cement and utilizing waste materials. This approach not only addresses environmental concerns but also enhances the quality assessment of concrete, offering potential cost savings and resource efficiency for the construction industry. Real-world applications include using RBP-enhanced concrete in non-structural elements, such as pavements, walkways, and landscaping features, where high strength is not the primary requirement.

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Forecasting Machine Failure Using DMG and Weibull Analysis in an Automotive Industry: A Case Study

Cited by 3 publications

References 12 publications

Decision-Making Approach in Sustainability Assessment in Steel Manufacturing Companies—Systematic Literature Review

Decision-Making Approach in Sustainability Assessment in Steel Manufacturing Companies—Systematic Literature Review

Throughput Approximation by Neural Network for Serial Production Lines With High Up/Downtime Variability

Employing Neural Networks, Fuzzy Logic, and Weibull Analysis for the Evaluation of Recycled Brick Powder in Concrete Compositions

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