scholarly journals SEVEN TOOLS AS THE PROBLEM SOLVING WAYS T0 IMPROVE QUALITY CONTROL

2021 ◽  
pp. 10-15
Keyword(s):  
Quality Control ◽  
Problem Solving ◽  
Control Charts ◽  
Management Tools ◽  
Quality Improvement Process ◽  
Goods And Services ◽  
Customer Trust ◽  
And Control ◽  
Quality Tools

There are many ways for the company to reach a good standard for their goods and services. Standard is essential to achieve a level of customer trust. The company must be maintaining the quality of their services and products, including in this case the quality of goods beside the services. To ensure its achievement, a directed management system and processes are needed to achieve the level of customer trust. Many companies use quality tools to help monitor and manage their quality system. There are several types of tools that can be used. But the more, there are seven management tools for quality control are the most common. Seven tools can be used by any professional to ease the quality improvement process like flowcharts, check sheets, Pareto diagrams, cause and effect diagrams, histograms, scatter diagrams, and control charts. Key words : seven tools, control, quality, problem solving

scholarly journals COLLABORATIVE TRIAL AND QUALITY CONTROL IN CHEMICAL ANALYSIS

2010 ◽  
Vol 2 (3) ◽  
pp. 135-141
Author(s):  
Narsito Narsito
Keyword(s):  
Quality Control ◽  
Chemical Analysis ◽  
Analytical Method ◽  
Control Charts ◽  
Analytical Data ◽  
Control Program ◽  
Quality Parameter ◽  
Quality Control Program ◽  
And Control

Abstract                                                             This paper deals with some practical problems related to the quality of analytical chemical data usually met in practice. Special attention is given to the topic of quality control in analytical chemistry, since analytical data is one of the primary information from which some important scientifically based decision are to be made. The present paper starts with brief description on some fundamental aspects associated with quality of analytical data, such as sources of variation of analytical data, criteria for quality of analytical method, quality assurance in chemical analysis. The assessment of quality parameter for analytical method like the use of standard materials as well as standard methods is given. Concerning with the quality control of analytical data, the use of several techniques, such as control samples and control charts, in monitoring analytical data in quality control program are described qualitatively.  In the final part of this paper, some important remarks for the preparation of collaborative trials, including the evaluation of accuracy and reproducibility of analytical method are also given Keywords: collaborative trials, quality control, analytical data Abstract                                                             This paper deals with some practical problems related to the quality of analytical chemical data usually met in practice. Special attention is given to the topic of quality control in analytical chemistry, since analytical data is one of the primary information from which some important scientifically based decision are to be made. The present paper starts with brief description on some fundamental aspects associated with quality of analytical data, such as sources of variation of analytical data, criteria for quality of analytical method, quality assurance in chemical analysis. The assessment of quality parameter for analytical method like the use of standard materials as well as standard methods is given. Concerning with the quality control of analytical data, the use of several techniques, such as control samples and control charts, in monitoring analytical data in quality control program are described qualitatively.  In the final part of this paper, some important remarks for the preparation of collaborative trials, including the evaluation of accuracy and reproducibility of analytical method are also given Keywords: collaborative trials, quality control, analytical data

The Implementation of Learning Materials Based on Local Wisdom of Agricultural in Binjai to Improve the Students Problem Solving Abilities

2019 ◽  
Author(s):  
Nur Tsalits Fahman Mughni
Keyword(s):  
Problem Solving ◽  
Control Group ◽  
School Grade ◽  
Teaching Materials ◽  
Quasi Experimental ◽  
Equivalent Control ◽  
The Subject ◽  
And Control ◽  
Experimental Group

Teaching materials by integrating local culture makes easier for students to understand the subject matter in the learning process. The aims of the study is to measure the effectiveness of teaching materials based on local wisdom of agriculture in Binjai in improving the students problem solving abilities. The research method was a quasi experimental which use non equivalent control group in the pretest posttest design. The sample of study were students of Senior High School grade X in Binjai that consisted of experiment group which used teaching materials based on local wisdom of agriculture in Binjai and control group that used student handbooks. Teaching materials are tested by material experts and technology experts to ensure the quality of teaching materials. Data collection was conducted through test. The results showed that the teaching materials based on local wisdom of agriculture in Binjai effective in improving students problem solving abilities in the experimental group students based on the results of N gain value was 0.67 which has medium criteria. It means teaching materials based on agricultural local wisdom of agriculture in Binjai can be used as one of the teaching materials in learning activities.

Perbaikan Kualitas Produk Batu Bata Merah Dengan Metode Six Sigma-Dmaic (Studi Kasus Cv. Ghatan Fatahillah Karawang)

UNISTEK ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 6-10
Author(s):  
Egar Naufal Ari Satya ◽  
Wahyudin Wahyudin
Keyword(s):  
Quality Control ◽  
Customer Satisfaction ◽  
Six Sigma ◽  
Quality Standards ◽  
Research Results ◽  
Machine Performance ◽  
Fishbone Diagram ◽  
And Control ◽  
Dmaic Method

Abstrak. Dunia industri yang semakin berkembang akan mengakibatkan banyaknya persaingan. Perus-ahaan yang dapat bersaing adalah perusahaan yang dapat menjaga  kualitas produknya dengan baik sehingga dapat memenuhi kepuasan konsumen. Maka dari itu diperlukan pengendalian kualitas. Penelitian ini difokuskan pada penurunan cacat pada produk batu bata merah di CV. Ghatan Fatahillah dengan metode Six Sigma-DMAIC (Define, Measure, Analyze, Improve, dan Control). Dari hasil penelitian didapatkan DPMO sebesar 36.212 dengan nilai sigma 3,29. Jenis cacat yang paling sering terjadi pada batu bata merah yaitu pecah/patah yaitu sebesar 4.327 atau 59,81% dari total keseluruhan produk yang cacat.  Hasil dari tahap analyze dengan fishbone diagram, ditetapkan penyebab dari pecah/cacat, yaitu: pekerja kurang paham standar kualitas, tidak adanya pemeriksaan produk, pekerja kurang paham prosedur kerja, kinerja mesin tidak stabil, pekerja kurang teliti,  jumlah penggilingan tidak menentu, dan komposisi batu bata tidak menentu. Maka perlu dilakukan usulan perbaikan agar dapat mengurangi jumlah produk yang cacat pada batu bata merah. Kata kunci: DMAIC, DPMO, Pengendalian Kualitas, Six Sigma Abstract. The growing industrial world will result in a lot of competition. Companies that can compete are companies that can maintain the quality of their products well so that they can meet customer satisfaction. Therefore, quality control is needed. This research is focused on reducing defects in red brick products at CV. Ghatan Fatahillah with the Six Sigma-DMAIC method (Define, Measure, Analyze, Improve, and Control). From the research results obtained DPMO of 36,212 with a sigma value of 3.29. The type of defect that most often occurs in red bricks is broken / broken, which is 4,327 or 59.81% of the total defective products. The results of the Analyze stage with the fishbone diagram showed that the causes of breakage / defects were determined, namely: workers do not understand quality standards, lack of product inspection, workers do not understand work procedures, unstable machine performance, workers are not careful, the number of mills is erratic, and composition erratic bricks. So it is necessary to make improvement proposals in order to reduce the number of defective products in red bricks. Keywords: DMAIC, DPMO, Quality Control, Six Sigma

Method of Controlling the Inversion Quality of NMR T2 Spectrum

2012 ◽  
Vol 562-564 ◽  
pp. 1209-1212
Author(s):  
Peng Ju Li ◽  
Huan Huan Liu ◽  
Jia Yin Wei
Keyword(s):  
Quality Control ◽  
Data Acquisition ◽  
Petroleum Exploration ◽  
Principal Diagonal ◽  
Numerical Experimentation ◽  
And Control ◽  
Nmr T2 Spectrum ◽  
Maximum Minimum ◽  
Spectrum Inversion

In order to improve the application effect of the NMR in Petroleum exploration and development, the quality of T2 spectrum inversion need to be controlled. Echo resolution matrix,T2 spectrum resolution matrix are deduced, the quality control index of T2 spectrum inversion is provided: the stretch coefficient, maximum, minimum, average and range of principal diagonal elements of resolution matrix. Calculating the inversion quality control index under different observation modes and choosing the observation mode of resolution matrix approximate to unit matrix for data acquisition can improve T2 spectrum inversion quality. Numerical experimentation indicate there is very good consistency between inversion quality and control index. Hence, it may direct the design before NMR data acquisition, control inversion quality of T2 spectrum

scholarly journals ANALISIS SISTEM PENGAWASAN KUALITAS PRODUK PADA PT INDUSTRI SANDANG NUSANTARA UNIT PATAL SECANG DI MAGELANG JAWA TENGAH

2014 ◽  
Vol 5 (2) ◽  
Author(s):  
Listiani Listiani
Keyword(s):  
Quality Control ◽  
Control System ◽  
Production Process ◽  
Raw Materials ◽  
Employee Performance ◽  
Fish Bone ◽  
Quality Control System ◽  
Observation Data ◽  
And Control

This research is aimed to determine the quality control system of production process in PT Industri Sandang Nusantara unit Patal Secang, measure the efectivity of quality control system by using control P-Chart and determine factors that cause defect product. This research is explorative descriptive by case study method. Data used in this research is the procedure of production process and the number of defect product. Product used in this company is  thread R30/1 UW and R 40/1 UW PT Industri Sandang Nusantara Unit Patal Secang in 24 periods of production between April – Mei 2006. Data is collected by interview, documentation, and observation. Data is analyzed by control p-chart and fish bone diagram. The conclusion of this research are: (1) The quality control system which is consists of controlling raw materials, production process and final product is appropriate with the company’s standard; (2) the number of defect product R 30/1 UW is 26.956 bale with the average 0.0167; Control P Chart shows that there are three periods which are out of control. They are in April 30, Mei 5 and 21, 2006. (3) The number of final product R 40/1 UW is 2159 bale with the average 0.0214; control p-chart shows that there are tw periods which are out of control. They are ini Mei 6 and Mei 12, 2006. (4) Factors that cause defect product are obsolete machines, employee performance, control system, and raw materials. Based on that condition, management should impove the controlling of machines, improve motivation and commitment of the employee, improve the method of inspection and control the quality of raw materials.

scholarly journals Peran Serta Pengawas Sekolah dalam Meningkatkan Kualitas Pendidikan, Menyongsong Masyarakat Ekonomi Asean di Kota Lhokseumawe

2015 ◽  
Vol 8 (1) ◽  
pp. 145
Author(s):  
Fauziah Fauziah
Keyword(s):  
Human Resources ◽  
Educational Process ◽  
City Government ◽  
Economic Stability ◽  
Educational Achievements ◽  
Goods And Services ◽  
Asean Countries ◽  
And Control

In 2015 we have entered in a free trade system in the Southeast Asian region which is called frequently as ASEAN Economic Society (MEA). We have known that MEA aims to increase the economic stability in the ASEAN region and forming a strong economic area  inter-ASEAN countries. By implementing MEA in the late of 2015, the member country of ASEAN will sell goods and services easily to the other countries throughout Southeast Asia so that this can effect to the very intensive competition. In this matter, the significant thing which should be done by the Indonesian government especially city government of Lhokseumawe in facing the MEA is by preparing the quality human resources to be compete in the regional and international level. For increasing the quality of human resources is through the educational instituion at least by increasing the role of school supervisor to oversee and control toward the educational process. Without supports of supervising of school, education will not work optimally because the school supervisors responsible in controlling and giving advices for educational achievements.

scholarly journals Quality control challenges post covid-19 crisis: an integrated IoT and IoP approach

2022 ◽  
Vol 2161 (1) ◽  
pp. 012001
Author(s):  
Harshit Sharma ◽  
G Sumathi
Keyword(s):  
Quality Control ◽  
Six Sigma ◽  
Damage Assessment ◽  
Large Scale ◽  
Smart Manufacturing ◽  
Small Scale ◽  
Industrial Iot ◽  
Customer Trust ◽  
Near Future

Abstract The Covid -19 is arguably the biggest pandemic in history and there are a lot of challenges that must be dealt with. One of the biggest challenges post Covid-19 is to tackle quality control challenges. This research paper discusses some of these challenges and solutions using an integrated internet of things (IoT) and internet of protocols (IoP) based approach and further showing its implementation in the industry world and hence, proving to be a solution for damage assessment. With the help of IoT- enabled quality control system, six-sigma rule is also analysed. Post Covid crisis, it is important for every institution to gain back customer trust so quality of materials should be maintained and IoT enables us to do the same. The unification of industrial IoT (IIoT) and industry 4.0 is also discussed as it leads us to understand that this unification is the next evolution of smart manufacturing and digital technologies. This methodology can lead us to accelerated innovation in applications for overcoming the eventual challenges post Covid in the near future. Also, small-scale/large-scale companies making use of the above research methodology can adhere to six-sigma criterion.

Design of modern tools for digital output raster scanning

2018 ◽  
Vol 2 (21) ◽  
pp. 157-163
Author(s):  
Oleg Yushchyk ◽  
Bogdana Havrysh ◽  
Oleksandr Tymchenko ◽  
Karolina Szturo
Keyword(s):  
Quality Control ◽  
Quality Assessment ◽  
Production Process ◽  
Assessment Methods ◽  
Digital Output ◽  
Raster Scanning ◽  
Technological Processes ◽  
Technological Effectiveness ◽  
And Control

Quality control at all stages of the polygraphic process will allow to establish a feedback between technological processes of printing. The validity of the selected criteria, technological effectiveness and objectivity of the quality assessment methods will allow to organise technically accurate modelling of the processes as well as to promptly interfere with the production process if necessary. The tendency of the development of technologies and control tools as well as computer expansion are the reasons why the objectivity and impartiality of the assessment become the main criteria for the choice of method for quality assessment of the polygrafic product. Methodological purpose of the quality control is to make the polygrafic process technologically driven and stable, and the quality of the received print - more predictable.

scholarly journals Analysis of Defect and Quality Improvement for O Ring Product Through Applying DMAIC Methodology

Jurnal PASTI ◽  
2019 ◽  
Vol 13 (2) ◽  
pp. 136
Author(s):  
Uly Amrina ◽  
Helmy Firmansyah
Keyword(s):  
Business Strategy ◽  
Control Charts ◽  
Key Factors ◽  
Quality Principles ◽  
Cutting Length ◽  
Product Defect ◽  
Voice Of Customer ◽  
And Control ◽  
The Ideal

To control the quality of a product to meet standards, a reliable measurable technique is needed with the company's business strategy. This research raises case studies identifying quality problems and effective ways of improvement of O Ring products using DMAIC (Define-Measures-Analyse-Improve-Control) quality control methods. Company X found the problem in the form of an average O Ring product defect ratio reaching 1.50% (the company's target is 1.30%). DMAIC is a systematic methodology that focuses on the key factors that control the performance of a process, set it at the best level and keep it at that level. Statistical tools combined with quality principles are applied to each of the DMAIC phases. In the define phase, flowcharts, critical to quality trees, and voice of customer lists are used which produce five types of defects in curing process. In the measure phase, the sigma value combined with pareto diagram are used and shows that the current sigma value is 4,178 with the biggest defect is flow-mark for the O Ring type ZZ00000123. In phase analysis, the root causes of the problem are searched using the why-why analysis and cause-effect diagrams and finds out that the causes are un-sticky rubber tip and unstandardized rubber cutting length. In the improve phase, DOE-based experiments are conducted to get the ideal rubber tip and cutting length conditions. Finally, the work standard is revised in the control phase and monitored by check sheets and control charts. The result of this DMAIC implementation was the O Ring products defect dropped to 0.83% and the sigma value rose to 4,363.Keywords: quality, DMAIC, O Ring, defect, sigma, standard

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