An improved measure of quality loss for notching processes

Wu, Chia Huang; Hsu, Ya-Chen; Pearn, W. L.

doi:10.1002/qre.2724

Cited by 15 publications

(8 citation statements)

References 15 publications

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“…According to some studies, since companies focus on rapid response, the sample size of sample data is usually not large. As a result, there is a growing risk of wrong judgment due to large sampling errors [17][18][19]. Hence, following suggestions from some studies and building upon the upper confidence limit, we come up with a fuzzy evaluation model for the product quality index of eco-friendly yarn in this paper [13,16,19,20].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Evaluation Model for Products with Multifunctional Quality Characteristics: Case Study on Eco-Friendly Yarn

Chen,

Huang,

Chiou

et al. 2024

Mathematics

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Numerous advanced industrial countries emphasize green environmental protection alongside athletic healthcare. Many world-renowned sports brands are actively developing highly functional, environmentally friendly, and aesthetically pleasing products. For example, in the production of sports shoes, the eco-friendly yarn process is one of the important processes. This process involves multiple crucial larger-the-better quality characteristics closely tied to the functionality of sports shoes. Facing green environmental regulations and external competitors, it is evidently an imperative issue for enterprises to consider how to improve the quality of newly developed products, increase product value, and lower rates of both rework and scrap to accomplish the goals of saving energy and minimizing waste. Aiming to solve this problem, this study proposed a fuzzy evaluation model for products with multifunctional quality characteristics to assist the sporting goods manufacturing industry in evaluating whether all functional quality characteristics of its products meet the required quality level. This study first utilized the larger-the-better Six Sigma quality index concerning environmental protection for evaluation and then proposed product evaluation indicators for the eco-friendly yarn. Since the parameters of these indicators have not yet been determined, sample data need to be used for estimation. Enterprises require rapid response, so that the sample size is relatively small. Sampling error will increase the risk of misjudgment. Therefore, taking suggestions from previous studies, this study constructed the fuzzy evaluation model based on confidence intervals of quality indicators for the eco-friendly yarn. This method incorporated previous experience with data, thereby enhancing assessment accuracy.

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Section: Introductionmentioning

confidence: 99%

Fuzzy Evaluation Model for Products with Multifunctional Quality Characteristics: Case Study on Eco-Friendly Yarn

Chen,

Huang,

Chiou

et al. 2024

Mathematics

View full text Add to dashboard Cite

show abstract

“…As mentioned above, this approach can reach effects, including convenience, cost reduction, energy saving and carbon reduction. In addition, based on cost considerations and effectiveness, in order to make decisions quickly and accurately in a short time, the sample size n is usually not too large in practice; consequently, the accuracy of statistical inference will be affected [23,24]. Since the fuzzy testing model based on the confidence interval can be incorporated into the past accumulated experience of data experts [25,26], the testing accuracy can be improved under the condition of small-sized samples.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Evaluation Model of Bank APP Performance Based on Circular Economy Thinking

et al. 2021

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As the environment of the Internet of Things (IoT) gradually becomes common and mature, various smart application (APP) platforms have sprung up, making what we are doing more convenient, more economical and more efficient. Then, this paper used a bank APP as the research background to discuss issues related to smart APPs. Obviously, through the bank APPs, customers can complete their transfer and payment for various expenses at home, eliminating the inconvenience of going out, which not only can alleviate traffic congestion as well as reduce carbon emissions but also can save the manpower expenditure costs for banks. Consequently, improving APP performance and increasing the number of users of an APP is a very important issue. Therefore, this paper proposed an APP performance index to evaluate the performance of a bank APP. This APP performance index is to evaluate the performance of the APP through the time interval of customers’ access to the APP. The shorter the time interval is, the greater the number of users within a unit time is. In addition, based on cost considerations and effectiveness, the sample size n is usually not too large in practice, in order to make decisions quickly and accurately in a short time. Since the fuzzy testing model based on the confidence interval can be integrated with the past accumulated experience of data experts, the testing accuracy can be leveled up under the condition of small-sized samples. Accordingly, a fuzzy evaluation model was proposed to evaluate whether the performance of the bank APP can reach the required level, and this model was also regarded as a basis for decision-making to determine whether to improve the bank APP. At the same time, we can grasp the opportunities for improvement, achieve the effect of cost reduction, energy saving and carbon reduction, and further move towards the goal of innovative and intelligent management.

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“…Based on some studies, data collection for the Poisson process is slow [4,5]. Furthermore, given enterprises' needs for quick responses and cost considerations, the sample size n of the random samples is usually not too large in practice, so the accuracy of statistical inference will be affected [25,26]. In order to solve this problem, the fuzzy testing method proposed by this paper is built on traditional statistical laws as well as designed to incorporate the past production information or expert experience.…”

Section: Introductionmentioning

confidence: 99%

Attribute Service Performance Index Based on Poisson Process

Chen

Hsu

2021

Mathematics

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The purpose of a shop enhancing customer satisfaction is to raise its total revenue as the rate of customer purchases in the shop increases. Some studies have pointed out that the amount of customer arrival at a shop is a Poisson process. A simple and easy-to-use evaluation index proposed for the Poisson process with the attribute characteristic will help various shops evaluate their business performance. In addition, developing an excellent and practical service performance evaluation method will be beneficial to the advancement of shop service quality as well as corporate image, thereby increasing the profitability and competitiveness of the shop. As the surroundings of the internet of things (IoT) are becoming gradually common and mature, various commercial data measurement and collection technologies are constantly being refined to form a huge amount of production data. Efficient data analysis and application can assist enterprises in making wise and efficient decisions within a short time. Thus, following the simple and easy-to-use principle, this paper proposes an attribute service performance index based on a Poisson process. Since the index had unknown parameters, this paper subsequently figured out the best estimator and used the central limit theorem to derive the confidence interval of the service efficiency index based on random samples. Then, we constructed the membership function based on the α-cuts of the triangular shaped fuzzy number. Finally, we came up with a fuzzy testing model based on the membership function to improve the accuracy of the test when the sample size is small in order to meet enterprises’ needs for quick responses as well as reducing the evaluation cost.

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An improved measure of quality loss for notching processes

Cited by 15 publications

References 15 publications

Fuzzy Evaluation Model for Products with Multifunctional Quality Characteristics: Case Study on Eco-Friendly Yarn

Fuzzy Evaluation Model for Products with Multifunctional Quality Characteristics: Case Study on Eco-Friendly Yarn

Fuzzy Evaluation Model of Bank APP Performance Based on Circular Economy Thinking

Attribute Service Performance Index Based on Poisson Process

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