scholarly journals VDRF: Sensing the defect information to risk level of vehicle recall based on bert communication model

2020 ◽  
Vol 17 (3) ◽  
pp. 795-817
Author(s):  
Xindong You ◽  
Jiangwei Ma ◽  
Yuwen Zhang ◽  
Xueqiang Lv ◽  
Junmei Han
Keyword(s):  
Product Quality ◽  
Risk Prediction ◽  
Traditional Method ◽  
Prediction Method ◽  
Risk Level ◽  
Communication Model ◽  
Dynamic Information ◽  
Personal A

The recall of defective automobile products is one of the important measures to promote the quality of product quality and protect consumers' pyhsical safety and property security. In order to assess the risk level of defect cases, automobile recall management experts need to analyze and discuss the defect information by personal. A risk level prediction method based on language pre-training Bert model is proposed in this paper, which can transform the defect information into rick level of the vehicle and then predict vehicle recall automatically, in which a seq2seq model is proposed to multi-label the vehicle complaint data. The outputs of the seq2seq model combined with other static and dynamic information are used as the input of the Bert communication model. Substantial comparative experiments of different feature combinations on different methods show that the proposed VDRF method achieves F1 value with 79% in vehicle recall risk prediction, which outperforms the traditional method.

Improvement of the early detection and quantitative risk prediction method with the three-dimensional wind field from multiple-doppler radar analysis

2021 ◽  
Author(s):  
Hwa-yeon Kim ◽  
Eiichi Nakakita
Keyword(s):  
Early Detection ◽  
Risk Prediction ◽  
Wind Field ◽  
Heavy Rainfall ◽  
Doppler Radar ◽  
Prediction Method ◽  
Risk Level ◽  
Doppler Velocity ◽  
Maximum Rainfall ◽  
Vertical Vorticity

<p> The localized severe heavy rainfalls, which has not been experienced in the past, have frequently occurred in Japan due to the effects of climate change. Especially, the Guerrilla heavy rainfall (abbreviated as GHR) by isolated rapidly growing single cumulonimbus is triggering flash floods in a small river basin and has caused huge damage to human life and property. If we alert the hazardous rainfall in 5 to 10 min earlier for evacuation, we could minimize human injuries such as isolation, death, and disappearance. For hydrometeorological disaster prevention, a system of the early detection and quantitative risk prediction methods is necessary to detect the initial stage of a cumulonimbus cloud before it is generated into heavy rainfall. In previous research, by analyzing the volume scan with some heavy rainfall events, an important sign named as the first echo (Baby-rain cell) was verified. Also, the vertical vortex tubes with positive and negative pairs did exist in the GHR. Most of the severely developed storm had a certain criterion of vertical vorticity. By using those analyses, we developed the early detection and quantitative risk prediction method as follows. We collect the radar variables (i.e. the vorticity, doppler velocity, and reflectivity, etc.) at each event and set the risk level when the maximum rainfall reached the ground. Then, we select an appropriate set of explaining variables considering the risk level. With the Receiver Operating Characteristic (ROC) analysis, we could find the most appropriate method to predict the risk level. However, we would like to improve the early detection and quantitative risk prediction method by estimating vertical vorticity, divergence and convergence with real wind field data. So, we apply the multiple-doppler radar analysis to estimate the variables reflecting real phenomena. As a result, the improved early detection and quantitative risk prediction method could predict the risk of GHR development accurately by using only the observed radar data. It is expected that the quantitative risk prediction could represent realistic flood prediction system and increase the leading time enough to reduce disaster.</p>

scholarly journals Technology Influence on Product Quality, Speed of Delivery and Cost

2020 ◽  
Vol 2 (2) ◽  
Keyword(s):  
United States ◽  
Product Quality ◽  
Traditional Method ◽  
The United States ◽  
The People ◽  
Research Experiment ◽  
Method Of Production ◽  
Set Up ◽  
The Cost

This paper explores the hypothesis that technology can be used to improve product quality, speed up delivery and reduced cost. For companies improving the quality of their products, reducing the cost and improving the speed of delivery makes them favorable to the client who feels like all their needs have been met. The research occurs between the months of January 2018 to April 2018 which is about four months. The research experiment design uses the pretest-posttest experimental design set up between two companies both using the traditional method of manufacturing with no technology. In one company technology is introduced while in the other company the process remains the same traditional method of production. Both companies analyze the results at the end of a four-month period before a conclusion is drawn from both the pretest and the final test. The experiment results show that technology improves quality of the product, improves the speed of delivery while at the same time reduce cost benefiting both the producer and the client. Technology should, therefore, be implemented in companies to give them an edge over the competition. With technology in companies, the United States can reclaim production from overseas companies that have taken over by providing cheap labor. Better satisfied customers mean more production which in turn means more jobs for the people in the United States.

PENGARUH KUALITAS PRODUK DAN RELIGIUSITAS TERHADAP KEPUTUSAN NASABAH PRODUK SIMPANAN PADA BSM CABANG PURWOKERTO

2017 ◽  
Vol 4 (1) ◽  
pp. 189-215
Author(s):  
Yoiz Shofwa Shafrani
Keyword(s):  
Regression Analysis ◽  
Product Quality ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Analytical Tool ◽  
The Other ◽  
Financial Assets ◽  
Islamic Bank

Perkembangan dunia perbankan syariah tidak lepas dari peran para nasabah yang memberikan kepercayaan terhadap pihak perbankan untuk penyimpanan asset keuangannya. Faktanya banyak kelompok nasabah yang memutuskan untuk menjadi nasabah di perbankan syariah karena faktor religiusitasnya. Faktor lain yang dapat ikut mempengaruhi keputusan nasabah adalah kualitas produk. Di mana kualitas produk merupakan karakteristik yang melekat dari suatu produk. Kemungkinan yang terjadi bahwa kebanyakan nasabah pada perbankan syariah juga masih merupakan nasabah perbankan konvensional.Tujuan yang ingin dicapai dalam penelitian ini adalah untuk mengetahui pengaruh kualitas produk dan tingkat religiusitas nasabah terhadap keputusan nasabah untuk menyimpan dananya atau tidak di BSM Cabang Purwokerto. Alat analisis yang digunakan adalah analisis regresi linier berganda, dengan jumlah sampel 100 nasabah. Diperoleh hasil Y = 5,046 + 0,101X1 + 0,218X2. Berdasarkan uji F yang sudah dilakukan maka dapat diketahui bahwa variabel kualitas produk dan religiusitas secara bersama – sama berpengaruh terhadap keputusan nasabah untuk menyimpan dananya di BSM Cabang Purwokerto. Berdasarkan uji t yang sudah dilakukan dapat diketahui bahwa secara partial baik variabel kualitas produk maupun variabel religiusitas berpengaruh terhadap keputusan nasabah untuk menyimpan dananya di BSM Cabang Purwokerto. The progress of the Islamic bank cannot be separated from the role of its customers who give trust to the bank to deposit their financial assets. It is a fact many groups of customers decide to be the customers of the Islamic bank because of their religiosity. The other influences factor of a customer’s decision is the quality of the product. The aim of this research was to determine the effect of product quality and level of customers’ religiosity towards customers’ decision whether to keep their funds in Syariah Mandiri Bank, Branch of Purwokerto, or not. The analytical tool used was multiple linear regression analysis, with a sample of 100 customers. The results indicate Y = 5,046 + 0,101X1 + 0,218X2. Based on F, it can be seen that both variables of product quality and religiosity simultanously affect the customers’ decision to keep theirfunds in BSM Branch of Purwokerto. Based on t test, it can be seen that independently, either variable of product quality or variables of religiosityinfluences the customers’ decision to keep their funds in BSM Branch of Purwokerto.

BIM-Based Quality Control for Safety Issues in the Design and Construction Phases

2015 ◽  
Vol 9 (3) ◽  
pp. 111 ◽  
Author(s):  
Seunghwa Park ◽  
Inhan Kim
Keyword(s):  
Decision Making ◽  
Traditional Method ◽  
Building Information Modeling ◽  
Safety Management ◽  
Information Modeling ◽  
Use Case ◽  
Safety Issues ◽  
Building Information ◽  
Building Safety

Today’s buildings are getting larger and more complex. As a result, the traditional method of manually checking the design of a building is no longer efficient since such a process is time-consuming and laborious. It is becoming increasingly important to establish and automate processes for checking the quality of buildings. By automatically checking whether buildings satisfy requirements, Building Information Modeling (BIM) allows for rapid decision-making and evaluation. In this context, the work presented here focuses on resolving building safety issues via a proposed BIM-based quality checking process. Through the use case studies, the efficiency and usability of the devised strategy is evaluated. This research can be beneficial in promoting the efficient use of BIM-based communication and collaboration among the project party concerned for improving safety management. In addition, the work presented here has the potential to expand research efforts in BIM-based quality checking processes.

PENGARUH CITRA MEREK DAN KUALITAS BENIH TERHADAP KEPUTUSAN PEMBELIAN PADA PT.PRABU ARGO MANDIRI (Studi Kasus Penjualan Benih Tomat Merk Maya di Purwkarta)

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Ahmad Iskandar
Keyword(s):  
Product Quality ◽  
Brand Image ◽  
Hypothesis Test ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Decision Variable ◽  
Purchasing Decisions ◽  
Business World

In the era of globalization, the competition in the business world becomes very tight. Companies vying to be able to continue to compete and survive in the business world. Each consumer must have had the expectation that the products they buy are able to provide satisfaction for them to be making purchasing decisions. Consumer purchasing decisions of companies to seeds virtual brand still low due to the brand image and quality of seeds that are still unsatisfactory.This study aims to determine the responses of respondents regarding brand image, product quality, purchasing decisions and how big an impact on the brand image itself against purchase decisions on the PT. Prabu Argo Mandiri Bandung and how much influence the quality of products on the purchase decision.The method by which the samples is Simple Random Sampling consists of 80 respondents. The method of analysis in this research using descriptive analysis and verification which is composed of multiple linear regression analysis. Product moment correlation analysis, and the coefficient of determination used to measure the level of influence of brand image and product quality on purchasing decisions.The results based on descriptive analysis of brand image variable is in good enough category, variable quality of the product is in the unfavorable category, and the purchase decision variable is in the unfavorable category. The results based on correlation test showed that the brand image is partially significant effect on purchasing decisions by 68% and the product quality is partially significant effect on purchasing decisions by 13%. Hypothesis test results suggested that the increased purchasing decisions partially and simultaneously influence through brand image and product quality.

PENGARUH KUALITAS PRODUK, HARGA, MEREK DAN SALURAN DISTRIBUSI TERHADAP VOLUME PENJUALAN PADA PT. GELANG GEMILANG JAYA BELLA SPRING BED SEMARANG

2020 ◽  
Vol 15 (1) ◽  
pp. 217-230
Author(s):  
Untung Widodo
Keyword(s):  
Data Analysis ◽  
Product Quality ◽  
Sampling Technique ◽  
Distribution Channels ◽  
Sales Volume ◽  
Independent Variables ◽  
Variable Distribution ◽  
Data Analysis Methods ◽  
Variable Quality

This research was conducted in order to test how much influence product quality, price and brand to the volume of sales at PT. Gemilang Jaya Bella bracelets Spring Bed Semarang. Independent variables include variable product quality, price and brand while the dependent variable is the volume of sales.In determining the data to be studied sampling technique used is the census. Census is a sampling technique when all members of the population used as a sample .. Respondents were selected is the consumer stores PT. Gemilang Jaya Bella bracelets Spring Bed Semarang. Thus obtained sample was 50 respondents. Data analysis methods used to perform hypothesis testing is multiple linear regression analysis.Based on the results of research that has been conducted on all data obtained, the importance of the research that 1). There is a positive and significant effect of the variable quality of the product (X1) to sales volume (Y). 2). There is a positive and significant impact on price variable (X2) to sales volume (Y). 3). There is a positive and significant impact on brand variables (X3) to sales volume (Y). 4). There is a positive and significant effect of the variable distribution channels (X4) to sales volume (Y)

The Practice of Solving Product Quality Problems Obtained through the Use of Design Activities at Car Assembly Plants

2020 ◽  
Vol 27 (3) ◽  
pp. 52-61
Author(s):  
V.N. Kozlovsky ◽  
◽  
D.I. Blagoveshchensky ◽  
A.V. Kritsky ◽  
U.V. Brachunova ◽  
...  
Keyword(s):  
Product Quality ◽  
Project Teams ◽  
Design Approach ◽  
Design Activities ◽  
Assembly Plants

The paper presents the results of the development and implementation of design approach tools for solving quality problems of new cars in operation. The generalization of the experience of the project teams in solving problems in the field of the quality of new vehicles in operation.

PENGARUH HARGA DAN KUALITAS PRODUK TERHADAP LOYALITAS PELANGGAN ALUMUNIUM

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Widodo Widodo ◽  
Marshelly Chandra Kumala
Keyword(s):  
Data Collection ◽  
Product Quality ◽  
Customer Loyalty ◽  
Significant Influence ◽  
Secondary Data ◽  
Primary Data ◽  
Research Results ◽  
Is Research ◽  
Quality Of Products

<em>The objective of this is research was conducted to find out how the influence of the price and quality of products against customer loyalty at PT. Alakasa Extrusindo Jakarta. This research was conducted in Alakasa Extrusindo PT by doing data collection, through the primary data and secondary data.  The research results showed that the simultaneous price variables  and product quality  has a positive and significant effect against the variable customer loyalty. partially showed that price variables has a positive and significant influence towards customer loyalty. And partially showed that product quality variables  has a positive and significant influence towards customer loyalty</em>

PENGARUH KUALITAS PRODUK DAN PROMOSI TERHADAP KEPUTUSAN PEMBELIAN BUAH MELON PT. SYAFINA NIAGA

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Iwan Kurniawan Subagja, SE., MM. ◽  
Slamet Istoto
Keyword(s):  
Decision Making ◽  
Product Quality ◽  
Sampling Methods ◽  
Marketing Mix ◽  
Sampling Techniques ◽  
Purchasing Decisions ◽  
Individual Activity ◽  
A Company ◽  
Melon Fruit

Decision making is an individual activity that is directly involved in obtaining and using the goods offered. Promotion is one of the variables in a marketing mix that is very important to be implemented by a company in marketing its products or services, thus influencing consumers to make purchasing decisions. The quality of the product can also affect consumers in making purchasing decisions. This study aims to analyze the effect of product quality and promotion on purchasing decision of Melon fruit. Population and sample of research is purchasing or buyer from consumer of PT. Syafina Niaga as many as 30 companies and sampling methods using saturated sampling techniques as well as analysis used with regression analysis. The results showed that there is a significant influence between product quality and promotion of purchasing decisions.

Computable metrics of personal performance in software development teams

2019 ◽  
Author(s):  
Andriy Lishchytovych ◽  
Volodymyr Pavlenko
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Product Quality ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Project Manager ◽  
Development Life Cycle ◽  
Software Product ◽  
Software Development Life Cycle

The present article describes setup, configuration and usage of the key performance indicators (KPIs) of members of project teams involved into the software development life cycle. Key performance indicators are described for the full software development life cycle and imply the deep integration with both task tracking systems and project code management systems, as well as a software product quality testing system. To illustrate, we used the extremely popular products - Atlassian Jira (tracking development tasks and bugs tracking system) and git (code management system). The calculation of key performance indicators is given for a team of three developers, two testing engineers responsible for product quality, one designer, one system administrator, one product manager (responsible for setting business requirements) and one project manager. For the key members of the team, it is suggested to use one integral key performance indicator per the role / team member, which reflects the quality of the fulfillment of the corresponding role of the tasks. The model of performance indicators is inverse positive - the initial value of each of the indicators is zero and increases in the case of certain deviations from the standard performance of official duties inherent in a particular role. The calculation of the proposed key performance indicators can be fully automated (in particular, using Atlassian Jira and Atlassian Bitbucket (git) or any other systems, like Redmine, GitLab or TestLink), which eliminates the human factor and, after the automation, does not require any additional effort to calculate. Using such a tool as the key performance indicators allows project managers to completely eliminate bias, reduce the emotional component and provide objective data for the project manager. The described key performance indicators can be used to reduce the time required to resolve conflicts in the team, increase productivity and improve the quality of the software product.

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