Total quality science最新文献

Optimal Maintenance Policy for Deteriorating Systems Subject to External Shock Damage Under a Semi-Markov Decision Process 半马尔可夫决策过程下受外部冲击破坏的劣化系统的最优维护策略

Total quality science Pub Date : 2023-12-01 DOI: 10.17929/tqs.9.83

Wang Zirui, Jin Lu, Watalu Yamamoto

引用次数: 0

A Semi-Supervised Learning Model for Predicting User Attributes Based on Ladder Network 基于梯形网络的用户属性预测半监督学习模型

Total quality science Pub Date : 2023-12-01 DOI: 10.17929/tqs.9.109

Mizuki Takeuchi, Taichi Imafuku, Yuta Sakai, Masayuki Goto

引用次数: 0

A Method to Improve Serendipity of Recommendation Lists Based on Collaborative Metric Learning 一种基于协作度量学习提高推荐列表偶然性的方法

Total quality science Pub Date : 2023-12-01 DOI: 10.17929/tqs.9.62

Akiko Yoneda, Ryota Matsunae, Haruka Yamashita, Masayuki Goto

引用次数: 0

Using Image Data for Machine Learning-Based Defect Detection 利用图像数据进行基于机器学习的缺陷检测

Total quality science Pub Date : 2023-12-01 DOI: 10.17929/tqs.9.74

Kanki Fujita, Shizu Itaka, Tomomichi Suzuki

引用次数: 0

Differences in the Understanding of Environmentally Conscious Behavior between Companies and Consumers 企业和消费者对环保意识行为的理解差异

Total quality science Pub Date : 2023-12-01 DOI: 10.17929/tqs.9.98

Chisato Kajihara, Yuri Harasaki, Masakuni Tsunezawa, Kohei Sugiyama, Kazuyuki Tasaka, Ayako Noguchi, Takeshi Fukushima

引用次数: 0

Condition-based Maintenance for a Wiener Deterioration Process under Consideration of Heterogeneity in Spare Unit Population 考虑备用单元数量异质性的Wiener劣化过程状态维修

Total quality science Pub Date : 2023-10-10 DOI: 10.17929/tqs.9.29

Mizuki Kasuya, Jin Lu

{"title":"Condition-based Maintenance for a Wiener Deterioration Process under Consideration of Heterogeneity in Spare Unit Population","authors":"Mizuki Kasuya, Jin Lu","doi":"10.17929/tqs.9.29","DOIUrl":"https://doi.org/10.17929/tqs.9.29","url":null,"abstract":"This research focused on a single-unit system thatdeteriorates in accordance with a Wiener process. The deterioration state iscompletely observed by sensors at equally spaced time intervals. The decision-makermust select one of three actions: do nothing, preventive replacement or correctivereplacement. Most of the recent research on condition-based maintenance (CBM)was based on the assumption that the deterioration process is the same in thetarget unit population. However, the spare units for replacement maydeteriorate at different rates due to population heterogeneity, which isreflected in the assumption that the spare unit population consists of somesubpopulations. The deterioration process is deemed on the basis of the currenttype probability vector and deterioration state. On the basis of thispopulation heterogeneity, the optimal decision-making problem of CBM isformulated as a Markov decision process. The objective is to minimize the totalexpected discounted cost over an infinite horizon. This research proved thatthe total expected discounted cost is monotonically non-decreasing in typeprobability vector and deterioration state. It also proved that the optimalmaintenance policy is a control limit policy. A numerical example demonstratedthat the total expected discounted cost with considering populationheterogeneity is reduced more than that without considering populationheterogeneity when the spare unit population is assumed to be heterogeneous.Sensitivity analysis is conducted in the diffusion coefficient in the Wienerprocess and the spare unit population distribution.","PeriodicalId":486869,"journal":{"name":"Total quality science","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136294360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The T-method with the application of sparse modeling t -方法与稀疏建模的应用

Total quality science Pub Date : 2023-10-10 DOI: 10.17929/tqs.9.1

Ryo Asano, Masato Ohkubo, Shinto Eguchi, Yasushi Nagata

引用次数: 0

Multivariate Hierarchical Bayesian Control Charts for High-mix Low-Volume Production 多混合小批量生产的多变量层次贝叶斯控制图

Total quality science Pub Date : 2023-10-10 DOI: 10.17929/tqs.9.42

Mizuki Takada, Kota Goto, Hironobu Kawamura

{"title":"Multivariate Hierarchical Bayesian Control Charts for High-mix Low-Volume Production","authors":"Mizuki Takada, Kota Goto, Hironobu Kawamura","doi":"10.17929/tqs.9.42","DOIUrl":"https://doi.org/10.17929/tqs.9.42","url":null,"abstract":"Control charts are a typical method of statistical process control. They arose in the context of low-mix high-volume production. However, high-mix low-volume production has become mainstream as needs diversify, and parameter estimation accuracy has decreased because obtaining sufficient measurement values for each product is difficult. Therefore, performing process control using multivariate characteristics has become challenging. control chart is widely used for managing multivariate control characteristics and several multivariate control charts have emerged based on it, but these methods work only with a sufficient number of samples, more than in the univariate case. Therefore, conventional control charts are not applicable for low-volume production, research on Bayesian statistics-based control charts has been conducted and their usefulness has been demonstrated. Although previous studies have proposed control charts using hierarchical Bayesian modeling, these charts do not address multivariate data. Therefore, in this study, we propose multivariate hierarchical Bayesian control charts that can accommodate multivariate characteristics. By developing hierarchical Bayesian modeling that considers differences among product types, estimation accuracy can be improved even in high-mix low-volume production. According to the simulation analysis, the proposed method outperformed control chart in the high-mix low-volume production environment, and its performance also improved as the number of product types increased.","PeriodicalId":486869,"journal":{"name":"Total quality science","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136294366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Anomaly Detection for Automotive Components by Oversampling 基于过采样的汽车零部件深度异常检测

Total quality science Pub Date : 2023-10-10 DOI: 10.17929/tqs.9.18

Chika Yokocho, Hironobu Kawamura, Kozaburo Nirasawa

引用次数: 0

Analysis of the Relationship among Recruitment Evaluations and Personality Impressions using Video Interviews 基于视频面试的招聘评价与人格印象关系分析

Total quality science Pub Date : 2023-10-10 DOI: 10.17929/tqs.9.53

Mika Inadomi, Akira Kuzuhara, Shizu Itaka, Aya Ishigaki, Taku Harada, Tomomichi Suzuki

{"title":"Analysis of the Relationship among Recruitment Evaluations and Personality Impressions using Video Interviews","authors":"Mika Inadomi, Akira Kuzuhara, Shizu Itaka, Aya Ishigaki, Taku Harada, Tomomichi Suzuki","doi":"10.17929/tqs.9.53","DOIUrl":"https://doi.org/10.17929/tqs.9.53","url":null,"abstract":"Face-to-face interviews suffer from the problem that recruitment evaluations depend on the individual skills of the interviewer. Video interviewing is one potential solution to this problem, as it enables quality control over evaluations. However, there has been little research into using information gathered from video interviews to generate recruitment evaluation scores. In this paper, we research whether video interviews enable impressions to be formed of interviewees’ personalities, as outward impressions are more important than actual personality for recruitment interviews and in the service industry. We use the “Big Five” measures of personality traits and integrate scores using Item Response Theory and mean of standardized value. We also categorize personality impression items into three groups: items that raters give different scores, items that raters give similar scores, and items that cannot be evaluated in a video interview. Regression analysis shows that the items of the former two types explain 68.2% of the variance in hiring decisions. The impression of Extraversion was often observed in video and affected Smile and Voice Tone evaluations regarding recruitment. The impressions of openness and dutifulness have positive effects on hiring decision. This research indicates that it is possible to obtain personality scores that support recruitment activities from video interviews via, for example, machine learning.","PeriodicalId":486869,"journal":{"name":"Total quality science","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136294365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0