Data quality improvement method based on data correlation for power Internet of Things

2019 ◽  
Author(s):  
Dong Li ◽  
Li Yan ◽  
Ying Liu ◽  
Qilin Yin ◽  
Shuangshuang Guo ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Internet Of Things ◽  
Data Quality ◽  
Data Correlation ◽  
Improvement Method ◽  
Quality Improvement Method

scholarly journals Metode DMAIC Sebagai Solusi Pengendalian Kualitas Produksi Sepatu Tambang: Studi Kasus PT Mangul Jaya-Bekasi

2012 ◽  
Vol 3 (1) ◽  
pp. 509
Author(s):  
Hendy Tannady Tan
Keyword(s):  
Quality Improvement ◽  
Product Quality ◽  
Control Method ◽  
Phase Measurement ◽  
Process Capability ◽  
Improvement Method ◽  
Measuring Tool ◽  
And Control ◽  
Quality Improvement Method

One way to increase profitability internally in PT Mangul Jaya - Bekasi is decreasing any costs produced from poor product quality by producing shoes with good quality. This study uses the DMAIC (define, measure, analyze, improve, control) method as a measuring tool. DMAIC is a quality improvement method that directly solves any problems related to the quality of a product even the primary cause of it. From the results of the study it is concluded that at the phase “define” shoes type Cheetah is the most problematic. Furthermore, on phase “measurement” it is identified that the Cp value of the Cheetah is below 1 which means that the process capability is low. After passing through the three sequencing steps (analyze, improve and control), finally this research is able to reduce the defects that occur in the shoes type Cheetah.

Quality improvement of smart senior care service platform in China based on grey relational analysis and Fuzzy-QFD

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lan Xu ◽  
Yu Zhang
Keyword(s):  
Quality Improvement ◽  
Grey Relational Analysis ◽  
Care Service ◽  
The Elderly ◽  
Service Platform ◽  
Content Type ◽  
Relational Analysis ◽  
Improvement Method ◽  
Grey Relational ◽  
Quality Improvement Method

PurposeSmart senior care industry in China currently faces a series of practical difficulties such as an imbalance in the demand and supply structure, service products unable to cater to the actual needs of the elderly and a low degree of marketization. This study therefore proposes using grey relational analysis and the Fuzzy-quality function development (QFD) quality improvement method to help solve these problems.Design/methodology/approachThe proposed method converts the fuzzy requirements of the elderly into the technical characteristics of technologically augmented senior care service products. It then, uses the QFD relationship matrix, combined with grey relational analysis, to analyze the relationship between the needs of elderly and the converted technical characteristics, and subsequently identifies key technical characteristics.FindingsResults show that an improvement in the smart senior care service platform according to the differences of the elderly's preferences can significantly improve users' satisfaction with the service in addition to enhancing market competitiveness of the technologically assisted senior care service products.Originality/valueA novel method to improve the need of smart senior care is proposed by considering age difference. The proposed grey relational analysis and Fuzzy-QFD quality improvement method can help improve the service quality of the smart senior care service platform.

Gradient Constrained Microscopic Imaging Quality Improvement Method with Objective Lens Measurement

2017 ◽  
Vol 54 (11) ◽  
pp. 111001
Author(s):  
黄奕龙 Huang Yilong ◽  
赵巨峰 Zhao Jufeng ◽  
张克奇 Zhang Keqi ◽  
华玮平 Hua Weiping ◽  
崔光茫 Cui Guangmang
Keyword(s):  
Quality Improvement ◽  
Objective Lens ◽  
Microscopic Imaging ◽  
Imaging Quality ◽  
Improvement Method ◽  
Quality Improvement Method

scholarly journals Green Quality Improvement Using Six Sigma Method

2020 ◽  
Vol 5 (8) ◽  
pp. 583-588
Author(s):  
Sutrisno Harianto ◽  
Ellysa Nursanti
Keyword(s):  
Quality Improvement ◽  
Six Sigma ◽  
Raw Materials ◽  
Improvement Method ◽  
World Class ◽  
Quality Of Products ◽  
And Control ◽  
Level 2 ◽  
Quality Improvement Method

Traditional cast brass handicrafts Majapahit is one of the nation's cultural heritage which has a high historical value. The uniqueness and quality become the hallmark of this craft products. The results of handmade products such as sculptures, wall hangings, souvenirs, ornaments doors and so on. To increase the sales of traditional handicrafts of brass castings, required Majapahit applicative technical efforts in improving the quality of products which are ecofriendly. Quality improvement method such as Six sigma. Six sigma focuses on decreasing flawed rate, by reaching the standard 3, 4 flawed in a thousand possibility. Six sigma has 5 phases; define, measure, analyze, improvement, and control. In this research, six sigma is applied in producing cast brass handicraft starting from making the master mold, preparation of smelting raw materials, cooling process, releasing of the mold, and finishing. Purposefully to improve the quality by overcoming and decreasing the high of flawed possibility and also applying marketing mixture in improving the market segmentation of traditional cast brass of Majapahit market. The result is quality improvement is shown by decreasing happen in number of flawed product in total of mean for about 154, 8 decreased to 59,5. While the calculation of the six sigma, flawed product of cast brass handicraft is for about 1,7625 sigma value or being in level 2 and increased to 3,725 or being in level 4 with the flawed possibility in amount 235,000 for thousand times of production. The ability of production for the requirement which is wanted by the consumers and owning a good enough capability but still needed some correction to achieve world class home industry

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