Fit Quality Evaluation and Fit Capability Analysis

1999 ◽  
Author(s):  
Y. Zhang ◽  
X. Daniel Fang

Abstract A new measure for evaluating fit quality of mating parts via Fit Capability Indices (FCIs) is introduced as an interface between fit quality and process control of the mating parts. Fit Capability Analysis method is discussed based on the relationship between FCIs and Process Capability Indices (PCIs). A new statistical tolerancing approach for assuring predetermined fit quality is developed on the basis of fit quality evaluation measures and fit capability analysis, which can be used as a guideline to process design and process monitoring of the mating parts.

2011 ◽  
Vol 3 (4) ◽  
pp. 113-119
Author(s):  
Romualdas Vitkauskas

The interaction of quality management and knowledge man­agement are analyzed quite widely in scientific literature and discussed with reference to various models integrating these two management theories. However, there are not enough precise tools that could provide a possibility of improving the quality of products and services through knowledge management. To this end, the article examines the already existing models for the interaction between quality management and knowledge management. The results of a survey on Lithuanian industry show what organizational knowledge is the most important while implementing quality management principles aimed at improving quality. The correlation analysis method showed the relationship between quality management principles (process approach, continual improvement, management, facts) and the factors defining the product and process quality (the extent of determining process execution time, process resources, costs of process stages, indicators for products and/or services, the dura­tion of the process, the extent of measuring indicators, the extent of collecting information on indicators, the extent of collecting information about the costs of the process). Santrauka Kokybės vadybos ir žinių vadybos sąveika mokslinėje literatūroje analizuojama gana plačiai, aptariami įvairūs sąveikos modeliai integruojant šias dvi vadybos teorijas. Tačiau nepakankamai nagrinėjamos konkrečios priemonės, kuriomis būtų galima pagerinti produktų ir paslaugų kokybę pasitelkiant žinių vadybą. Tuo tikslu straipsnyje analizuojami jau egzis­tuojantys kokybės vadybos ir žinių vadybos sąveikos modeliai bei pateikiami Lietuvos pramonės įmonių tyrimo rezultatai, parodantys, kokios organizacinės žinios svarbiausios įgyvendinant kokybės vadybos principus, skirtus kokybei gerinti. Taikant koreliacinės analizės metodą nustatyta, kad egzistuoja ryšys tarp kokybės vadybos principų (procesinio požiūrio, nuolatinio gerinimo, valdymo remiantis faktais) įgyvendinimo lygio ir veiksnių, apibūdinančių produktų ir procesų kokybę (procesų įvykdymo laiko nustatymas, procesų išteklių nustatymas, procesų etapų išlaidų nustatymas, produktų ir (ar) paslaugų rodiklių nustatymas, rodiklių matavimas, rodiklių informacijos rinkimas, informacijos apie proceso trukmę nustatymas ir informacijos apie proceso išlaidas rinkimas).


Media Wisata ◽  
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Sri Larasati

Teacher Quality is one factor that determines student achievement, the research to find out the relationship and contribution to the quality of teachers to student achievement in subjects Housekeeping. This Reseach is expected to expective to be useful for teachers to improve performance. To measure student achievement are used Pearson Product Moment analysis method. Of test data analysis can be seen that there is asignificant relationship with the teacher quality anatara student achiement, which toount (7.09423) is greater than ttable (2.021). Whereas the contribution of teacher quality on student achiement is the amount of KP 46.64% while the remaining 53.36% is determinedby other variables is one of the largest employment practices in the industry.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S524-S525
Author(s):  
Nadia Firdauysa ◽  
Jyoti Bhatta ◽  
Alex J Bishop ◽  
Tanya Finchum ◽  
James Grice

Abstract Data from N = 111 centenarians (M = 100.88; SD = 1.48) residing in Oklahoma was used to examine patterns in the relationship between the God oriented vs. non-God oriented longevity secrets and subjective well-being. Observational Oriented Modeling (OOM) was then used to conduct an ordinal analysis using concatenated ordering to produce degree of fitness between data and underlying patterns in life satisfaction and purpose-in-life across three time points. OOM is a data analysis method used to evaluate fitness of proposed patterns to data called PCC. Results indicated that centenarians maintaining a God-oriented longevity secret fit a decreased pattern in life satisfaction (PCC = 25.00, c-value = .09); whereas centenarians not maintaining a God-oriented longevity secret fit the same pattern (PCC = 49.18, c-value = .06). Meanwhile, centenarians having a God-oriented longevity secret fit a decreased pattern of purpose-in-life (PCC = 71.43, c-value =.12); whereas centenarians having a non-God oriented longevity secret fit the same pattern (PCC = 53.45, c-value = .28). In comparison to centenarians who acknowledged something other than God as the secret to their longevity, those who cite God as the reason for longevity tend to proportionately maintain a more satisfying view of life, yet experience a deteriorating sense of purpose over time. Results indicate that longevity secrets reflect divergent patterns in subjective well-being among persons living beyond 100 years. This has implications relative to how geriatric practitioners design interventions, services, or programs to enhance quality-of-life for long-lived adults.


Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 833 ◽  
Author(s):  
Alatefi ◽  
Ahmad ◽  
Alkahtani

Process capability indices (PCIs) have always been used to improve the quality of products and services. Traditional PCIs are based on the assumption that the data obtained from the quality characteristic (QC) under consideration are normally distributed. However, most data on manufacturing processes violate this assumption. Furthermore, the products and services of the manufacturing industry usually have more than one QC; these QCs are functionally correlated and, thus, should be evaluated together to evaluate the overall quality of a product. This study investigates and extends the existing multivariate non-normal PCIs. First, a multivariate non-normal PCI model from the literature is modeled and validated. An algorithm to generate non-normal multivariate data with the desired correlations is also modeled. Then, this model is extended using two different approaches that depend on the well-known Box–Cox and Johnson transformations. The skewness reduction is further improved by applying heuristics algorithms. These two approaches outperform the investigated model from the literature because they can provide more precise results regardless of the skewness type. The comparison is made based on the generated data and a case study from the literature.


Author(s):  
Kuen-Suan Chen ◽  
Der-Fa Chen ◽  
Ming-Chieh Huang ◽  
Tsang-Chuan Chang

Machine tools are fundamental equipment in industrial production, and their processing quality exerts a direct impact on the quality of the component product that they process. Thus, machine tool manufacturers develop various machine tools depending on market needs and processing functions, and the processed component products generally possess multiple smaller-the-better, larger-the-better, and nominal-the-best quality characteristics at the same time. For this reason, this study employed the widely used process capability indices, [Formula: see text], [Formula: see text], and [Formula: see text] to develop a model that can evaluate the process quality of component products and analyze the processing quality of various machine tools. We first converted the process capability indices into functions of the accuracy and precision indices and constructed a multi-characteristic quality analysis chart that can identify the reason for poor process quality in a quality characteristic. Furthermore, considering the fact that the process capability indices can only be estimated, which may lead to misjudgment in the evaluation of process quality, we derived the [Formula: see text] upper confidence limits of indices and the coordinates formed by the corresponding accuracy and precision indices. Manufacturers can then evaluate the process quality levels of the quality characteristics based on where the coordinates falls in the multi-characteristic quality analysis chart. This can more reliably assist manufacturers in monitoring the processing quality of their machine tools and providing feedback to the machine tool manufacturers for machine improvement.


Author(s):  
Chong Wang ◽  
Wei Lu ◽  
Ryuzo Ohno ◽  
Zongchao Gu

As the main place of people’s daily activities, indoor space (its size, shape, colors, material and textures, and so on) has important physical, emotional and health-based implications on people’s behavior and quality of life. Material texture is an integral part of architectural environment perception and quality evaluation, but the effect of material texture on perceptual spaciousness lacks the support of experimental data. This research examined the effects between different wall textures on the observer’s perception of spaciousness in indoor space, the influence of wall texture changes in different room sizes, and how the associational meaning of texture affects the degree of influence of wall texture on the spaciousness of indoor space. By using VR technology and the magnitude estimation (ME) analysis method, the authors found that the effect of wall texture on perceptual spaciousness varies depending on the wall material, and the textural effect is affected by room size. The perception of spaciousness is influenced by the observer’s associational meaning of material texture, and the influence of associational meaning of material texture varies contingent on the room size. In relatively small rooms, the objective aspect (such as hardness, surface reflectivity, texture direction and texture depth) of the wall texture has a significant impact on perceived space. In contrast, the effects of subjective aspects (such as affinity and ecology) become more pronounced in relatively larger rooms. This research makes up for the lack of material texture research in perceptual spaciousness, and provides a new way for the designer to choose materials for the design of a spatial scale.


2013 ◽  
Vol 8 (10) ◽  
pp. 1934578X1300801
Author(s):  
Kunming Qin ◽  
Hao Cai ◽  
Lijuan Zheng ◽  
Miao Zhang ◽  
Xinghai Zhang ◽  
...  

In this study, a simple, sensitive and reliable fingerprint analysis method by high-performance liquid chromatography coupled with diode array detection (HPLC-DAD) was developed for quality analysis of Bulbus Lilii, which is a famous traditional Chinese medicine and widely used as a restorative food. Then the developed method was subsequently applied to analyse 16 samples collected or purchased from different origins. Twelve common fingerprint peaks, including four definitely identified peaks, were found in total, and were involved for further characterisation and quality evaluation of Bulbus Lilii. The chemical quality of commercial samples collected from different origins varied obviously, indicating that more attention should be paid to the standardisation of the process of harvesting, manufacturing and storage of Bulbus Lilii. This is the first time that a new method has been established to control the quality of Bulbus Lilii through HPLC-DAD.


2010 ◽  
Vol 17 (1) ◽  
pp. 107-116 ◽  
Author(s):  
Rika Levy-Malmberg ◽  
Katie Eriksson

The aim of this study was to use ethical arguments to strengthen the relationship between the concepts of legitimacy and evaluation. The analysis is based on the ethics of Levinas and Buber and is motivated by a sense of responsibility using dialogical ideology as a mediator. The main questions in this study consider the following: Does caring science as an independent academic discipline have the moral responsibility to develop a theory for evaluating the quality of basic research? and Will such a quality evaluation theory have a reasonable probability of introducing legitimization into caring science? On an ethical level, this study introduces a meaningful interaction inspired by social demands and is linked to the concept of research justification. Legitimization turns from an abstract idea to an achievable entity by an act. The act of evaluation has the likelihood of delegating legitimacy and empowers the foundation of caring science, which in turn will become a cornerstone of nursing. At this stage there is no intention to develop an evaluation theory, rather to create a meaningful discussion for the future development of an ethics-based theory.


2014 ◽  
Vol 919-921 ◽  
pp. 869-872
Author(s):  
Xiao Jie Geng ◽  
Xiao Wei Du ◽  
Qiong Yan

The influence of tunnel’s span on rock mass quality is getting more and more recognition along with increasing large span tunnels’ construction. As national standard of China, BQ qualification is generally applied. Based on the measured data and numerical experiment, the relationship between surrounding rock displacement and quality evaluation is studied, and span effect correction factor is established. The modified rock quality index can provide the basis of guiding the design and construction of tunnels.


2021 ◽  
Vol 22 (S2) ◽  
Author(s):  
Albane Lysiak ◽  
Guillaume Fertin ◽  
Géraldine Jean ◽  
Dominique Tessier

Abstract Background Mass spectrometry remains the privileged method to characterize proteins. Nevertheless, most of the spectra generated by an experiment remain unidentified after their analysis, mostly because of the modifications they carry. Open Modification Search (OMS) methods offer a promising answer to this problem. However, assessing the quality of OMS identifications remains a difficult task. Methods Aiming at better understanding the relationship between (1) similarity of pairs of spectra provided by OMS methods and (2) relevance of their corresponding peptide sequences, we used a dataset composed of theoretical spectra only, on which we applied two OMS strategies. We also introduced two appropriately defined measures for evaluating the above mentioned spectra/sequence relevance in this context: one is a color classification representing the level of difficulty to retrieve the proper sequence of the peptide that generated the identified spectrum ; the other, called LIPR, is the proportion of common masses, in a given Peptide Spectrum Match (PSM), that represent dissimilar sequences. These two measures were also considered in conjunction with the False Discovery Rate (FDR). Results According to our measures, the strategy that selects the best candidate by taking the mass difference between two spectra into account yields better quality results. Besides, although the FDR remains an interesting indicator in OMS methods (as shown by LIPR), it is questionable: indeed, our color classification shows that a non negligible proportion of relevant spectra/sequence interpretations corresponds to PSMs coming from the decoy database. Conclusions The three above mentioned measures allowed us to clearly determine which of the two studied OMS strategies outperformed the other, both in terms of number of identifications and of accuracy of these identifications. Even though quality evaluation of PSMs in OMS methods remains challenging, the study of theoretical spectra is a favorable framework for going further in this direction.


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