Search Results - "Quality engineering"
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Quality 4.0-the challenging future of quality engineering
Published in Quality engineering (01-10-2020)“…Quality is a crucial dimension of products and processes. It is considered a competitive advantage for companies and organizations in the global market…”
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Nonparametric (distribution-free) control charts: An updated overview and some results
Published in Quality engineering (02-10-2019)“…Control charts that are based on assumption(s) of a specific form for the underlying process distribution are referred to as parametric control charts. There…”
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3
Network based credit risk models
Published in Quality engineering (02-04-2020)“…Peer-to-Peer lending platforms may lead to cost reduction, and to an improved user experience. These improvements may come at the price of inaccurate credit…”
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How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study
Published in Quality engineering (02-04-2024)“…Generative Artificial Intelligence (AI) models such as OpenAI's ChatGPT have the potential to revolutionize Statistical Process Control (SPC) practice,…”
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Space-filling designs for computer experiments: A review
Published in Quality engineering (02-01-2016)“…Improving the quality of a product/process using a computer simulator is a much less expensive option than the real physical testing. However, simulation using…”
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An improved approach for failure mode and effect analysis involving large group of experts: An application to the healthcare field
Published in Quality engineering (02-10-2018)“…Failure mode and effect analysis (FMEA) is a team-based technique for prospectively identifying and prioritizing failure modes of products, processes, and…”
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Reinforcement learning for dynamic condition-based maintenance of a system with individually repairable components
Published in Quality engineering (02-07-2020)“…In this article, a reinforcement learning approach is used to develop a new dynamic maintenance policy for multi-component systems with individually repairable…”
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Reliability Meets Big Data: Opportunities and Challenges
Published in Quality engineering (02-01-2014)“…Reliability field data such as that obtained from warranty claims and maintenance records have been used traditionally for such purposes as generating…”
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Dynamic maintenance model for a repairable multi-component system using deep reinforcement learning
Published in Quality engineering (02-01-2022)“…Using artificial intelligence for maintenance planning is useful for many industries to have a smart decision-making tool that delivers the best maintenance…”
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10
Advanced FMEA method based on interval 2-tuple linguistic variables and TOPSIS
Published in Quality engineering (01-10-2020)“…Failure mode and effects analysis (FMEA) is a widely used technique for identifying, evaluating, and eliminating potential failures in production, system, and…”
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Rethinking control chart design and evaluation
Published in Quality engineering (02-10-2019)“…We discuss some practical issues involving the control of the number of false alarms in process monitoring. This topic is of growing importance as the number…”
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Redefining software reliability modeling: embracing fault-dependency, imperfect removal, and maximum fault considerations
Published in Quality engineering (02-07-2024)“…Software reliability is a critical aspect of ensuring the quality and dependability of software systems. However, existing software reliability models often…”
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13
Monitoring univariate processes using control charts: Some practical issues and advice
Published in Quality engineering (02-07-2024)“…We provide an overview and discussion of some issues and guidelines related to monitoring univariate processes with control charts. We offer some advice to…”
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14
Early fault diagnosis based on reinforcement learning optimized-SVM model with vibration-monitored signals
Published in Quality engineering (02-10-2023)“…Effective fault diagnosis maximizes economic benefits by ensuring the stability of machinery systems. Detecting the faults of the key components in machinery,…”
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15
Toward a concept of digital twin for monitoring assembly and disassembly processes
Published in Quality engineering (02-07-2024)“…Quality is one of the key factors in the customer's selection process between competing products. Producing high-quality, defect-free products that meet…”
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16
Applying Lean Six Sigma methods to reduce length of stay in a hospital's emergency department
Published in Quality engineering (03-07-2018)“…Operational excellence is critical to throughput and patient flow in an emergency department. This case study applied the Lean Six Sigma DMAIC methodology to…”
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17
I-optimal or G-optimal: Do we have to choose?
Published in Quality engineering (02-04-2024)“…When optimizing an experimental design for good prediction performance based on an assumed second order response surface model, it is common to focus on a…”
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A review of critical success factors for the successful implementation of Lean Six Sigma and Six Sigma in manufacturing small and medium sized enterprises
Published in Quality engineering (03-07-2018)“…Organizations embarking on implementation of Lean Six Sigma and Six Sigma improvement initiatives need to overcome substantial barriers to ensure effectiveness…”
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19
Lifetime performance-qualified sampling system under a Weibull distribution with failure-censoring
Published in Quality engineering (03-07-2021)“…Reducing the warranty cost to increase profit is a major focus for most businesses. To achieve this goal, the acceptance sampling plan (ASP) can be an…”
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Reevaluating the performance of control charts based on ranked-set sampling
Published in Quality engineering (02-04-2024)“…Nearly one hundred types of control charts have been proposed that incorporate ranked-set sampling (RSS) methods. The performance of these charts has been…”
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