scholarly journals ANALISA KECACATAN PRODUK SEPATU KAKI TANGGA ALUMINIUM DENGAN METODE SIX SIGMA (STUDI KASUS UD. CP)

JUMINTEN ◽  
2020 ◽  
Vol 1 (6) ◽  
pp. 109-121
Author(s):  
Nur Kholik ◽  
Yustina Ngatilah ◽  
Erlina Purnamawaty
Keyword(s):  
Quality Control ◽  
Six Sigma ◽  
Total Production ◽  
Household Appliances ◽  
Manufacturing Company ◽  
Fishbone Diagram ◽  
Standard Quality ◽  
Machine Control ◽  
Fmea Method

UD. CP is a manufacturing company engaged in the manufacture of household appliances. One of the company's products is aluminum footwear. The problem that often arises in this product is the high defect that occurs in the aluminum footwear product which reaches 5% -6% of total production. The types of defects are hollow, torn, bump, melt, hollow, and melt and hollow. Given these problems, a study was conducted to reduce the percentage of defects in products with the Six Sigma method. Based on the analysis of the DPMO calculation and the company sigma value, the average DPMO value is 8705,201 and the sigma value of 3,8773 shows that the aluminum footwear products are included in the standard quality of the average industry in Indonesia. From these results an analysis of the root causes of disability is carried out using a fishbone diagram that has 5 factors that cause disability, namely humans, methods, materials, machinery, and the environment. After the cause of the disability is known, priority plans for improvement are made. From the results of this FMEA method the priority of the proposed improvement is to provide supervision to the operator, provide training to the operator, increase supervision of production results, Prevent maintenance of the machine, Control the machine correctly.                                                                                                   Keywords: Defect, DPMO, Six Sigma Quality Control, FMEA

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

scholarly journals Usulan Perbaikan Kualitas Proses Produksi Wafer Abon dengan Metode Six Sigma

2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Riyan Riyan ◽  
Heksa Bekti Ariyono
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
Six Sigma ◽  
System Approach ◽  
Food Industry ◽  
Sigma Level ◽  
Pressing Process ◽  
Fishbone Diagram ◽  
Snack Products

<p>This paper discusses a conducted research in the food industry with a variety of snack products such as bread, cream wafers, cookies, wafer sticks, chocolate, and dry cake. The company should always improve the quality of processes and products according to customer demands. Six Sigma method is expected to improve the quality of process and product in the company. Six Sigma is a quality system approach to be used in the industrialization function engaged in the manufacturing and services sectors. Generally, six sigma strategy utilizes DMAIC approach (Define-Measure-Analyze-Improve-Control). This research focused on product wafers abon, because it contributed a large number of defects. Moreover, this paper discusses two main processes:1. oven and cooling sheet process, 2. creaming and pressing process. The improvement is focused in the creaming and pressing process, because it presents 65% of defects. Based on the obtained data processing, COPQ for 1 month is Rp. 65,473,200, - and there are 3 priority CTQ’s in the issues, Pasta Tidak Rata (53.68%), Crashed Edge (16.29%), and Crack (16.12%). Results of capability process are 91.51% and sigma level of wafer abon product is 3.647628 sigma. An analysis has been done by brainstorming to find the cause of the defect and then arranged in a fishbone diagram and five why’s diagram. Proposed improvements including to create specification given standards for setup oven and creaming machine.</p><p>Keyword: Quality Control, Six Sigma, DMAIC</p>

scholarly journals Analysis of the cause of the defect packaging of capsule products using six sigma: A case study (PT SM)

2018 ◽  
Vol 49 ◽  
pp. 02011
Author(s):  
Finsaria Fidiyanti ◽  
Novie Susanto
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
Production Process ◽  
Six Sigma ◽  
Total Production ◽  
Fishbone Diagram ◽  
Control Department ◽  
Quality Control Department

This research aims to manage the amount of defective packaging of capsule products in the department of capsule product at PT SM. It is important because the number of defective packaging of capsule products is high and exceeds the limits of maximum, i.e. 5% of the total production. In addition, the defective packaging of capsule products cannot be reworked and will cause losses in terms of time and finances. This research uses the Six Sigma method to find out the capabilities of the production process from the defective packaging of capsule products. Application of the method of Six Sigma through DMAIC process to eliminate the number of defective products and Fishbone diagram is used to identify the cause of the defect and provide recommendations on improvements to the production process. The data for this research is the amount of production, defective packaging of capsule products and interviews with the department of quality control, department of capsule product and operator. Data processing using Six Sigma methods showed that the value of sigma is 3.41σ with the number of DPMO is 27,951.202. Using Fishbone diagram, there are 9 causes of the defective packaging of capsule products.

scholarly journals PENERAPAN STATISTICAL QUALITY CONTROL (SQC) PADA PENGENDALIAN MUTU MINYAK TELON (STUDI KASUS DI PT.X)

AGROINTEK ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 72
Author(s):  
Andan Linggar Rucitra ◽  
S Fadiah
Keyword(s):  
Quality Control ◽  
Raw Materials ◽  
Control Process ◽  
Statistical Quality Control ◽  
Statistical Quality ◽  
Quality Control Process ◽  
Fishbone Diagram ◽  
Potential Factor ◽  
Measurement Of Success

<p><em>Telon oil is</em><em> one of </em><em> </em><em>the </em><em>traditional medicine in the form of </em><em> </em><em>liquid preparations that serves to provide a sense of warmth to the wearer. PT</em><em>.X</em><em> is one of the companies that produce</em><em> </em><em>telon</em><em> oil</em><em>.</em><em> To maintain</em><em> the quality of telon oil from PT.X</em><em> product</em><em>, required overall quality control that is starting from the quality control of raw materials, quality control process to the quality control of the final product. The purpose of this research is to know the application of Statistical Quality Control (SQC) in controlling the quality of telon oil in PT X. </em><em>F</em><em>inal product</em><em> quality</em><em> become one of the measurement of success of a process, so it needs a good quality control. SQC method used in this research is Pareto Diagram and Cause and Effect Diagram. Pareto diagram is a bar graph </em><em>that </em><em>show the problem based on the order of the number of occurrences of the most number of problems until the least happened. A causal diagram is often called a fishbone diagram, a tool for identifying potential causes of an effect or problem. The result of applying the method indicates that 80% defect is caused by unsuitable volume and on the incompatibility of Expired Date (ED) code. The damage is caused by several factors namely the method, labor, and machine while the most potential factor is the volume conformity to reduce the number of defect products.</em></p>

scholarly journals Six Sigma Analysis as an Approach to Improve Quality of Corrugated Zinc Sheet Product

2021 ◽  
Vol 6 (2) ◽  
pp. 75-89
Author(s):  
Handy Nur Cahya
Keyword(s):  
Quality Control ◽  
Six Sigma ◽  
Analysis Data ◽  
Improve Quality ◽  
Limit Value ◽  
Five Factors ◽  
Study Results ◽  
Zinc Sheet ◽  
Product Defect

Every manufacturing company will strive to create the best quality products. This is also done by PT. CMSM, a steel company, is producing corrugated zinc products. In several production periods, the defective product values were still found that exceeded the tolerance limit value set at 0.5% in corrugated zinc products. These problems are, of course, very detrimental to the company, so it’s essential to control the quality of corrugated zinc products. This study aimed to determine the factors that cause product defects, propose plans to improve product quality, and provide managerial recommendations based on Six Sigma analysis. Data collection techniques are carried out through observation, interviews, and documentation. Based on the study results, it is known that DPO is 0.000885 and DPMO is 884.6028. At this time, the company is at the level of 4.64 sigma with CTQ (Critical to Quality) folded zinc sheet, cut size is not according to standard, thickness is not according to standard, uneven coating layer and perforated zinc sheet. Based on the analysis, five factors cause product defects: humans, machines, methods, materials, and the environment. To improve quality, the company should improve their quality control through 5W + 1H analysis, namely by providing training to employees, periodic machine maintenance and ensuring that the SOPs that have been made are implemented correctly and adequately. Keywords: six sigma, DMAIC, product defect, quality control, manufacturing

scholarly journals Kontrol Kualitas Uang Logam Pecahan Rp 1.000,00 dengan Teknik Difraksi Sinar-X (XRD)

2020 ◽  
Vol 42 (1) ◽  
pp. 11
Author(s):  
Ibrahim Purawiardi
Keyword(s):  
Quality Control ◽  
Structural Defect ◽  
Special Technique ◽  
X Ray Diffraction ◽  
X Ray ◽  
Analytical Technique ◽  
Standard Quality ◽  
Production Target

Uang logam pecahan Rp 1.000,00 merupakan salah satu uang dengan nilai intrinsik yang paling baik dan banyak beredar di masyarakat. Oleh karena penggunaannya yang tinggi, maka kualitas uang logam ini perlu diperhatikan. Kontrol kualitas pecahan uang logam ini perlu dilakukan agar pecahan yang beredar di masyarakat adalah pecahan uang logam yang memenuhi standar. Salah satu cara yang dapat dilakukan untuk mengontrol kualitasnya adalah dengan teknik difraksi sinar-x (XRD). Dengan teknik ini, cacat struktur dapat dideteksi tanpa harus merusak uang logamnya, sehingga uang logam yang cacat struktur dapat dieliminasi dari peredaran. Namun, teknik XRD memerlukan cara tersendiri untuk menginterpretasikannya, oleh karena itu studi ini dilakukan untuk mencontohkan bagaimana cara menginterpretasikannya. Lima buah sampel uang logam pecahan Rp 1.000,00 digunakan dalam studi ini, dimana dari hasil kontrol kualitas yang dilakukan, terdapat satu pecahan uang logam yang terdapat cacat struktur. Dari hasil studi sendiri menunjukkan bahwa kelima sampel memiliki karakteristik struktur FCC yang merupakan target produksi dengan indikator bidang-bidang (111), (200), (220) dan (311). Namun, salah satu sampel ternyata memiliki cacat produksi berupa munculnya karakteristik BCC yang bukan merupakan target produksi dengan indikator bidang (310). Sampel yang memiliki cacat produksi ini dapat direkomendasikan untuk tidak diedarkan. Dari studi ini terbukti bahwa teknik analisis XRD dapat digunakan secara efektif untuk mengontrol kualitas uang logam secara non-destruktif. The IDR 1000 coin is one of the best intrinsic rupiah money and most widely used by Indonesian people. Because of these reasons, the quality of it needs to be considered. The quality control of this coin must be done in order to make sure that it meets the standard quality to distribute. An x-ray diffraction (XRD) technique is one way in order to control the quality of this coin. By using this technique, structural defect on this coin can be detected without destructs it, so that defected coin can be rejected to be distributed. However, this technique needs special technique to interpret it. This study aimed to exemplify how to interpret it. Five IDR 1000 coins were used as samples in this study. From this study, the result shows that there is a coin with structural defect. The results of this study show that all of five samples have FCC characteristics as a production target with (111), (200), (220) and (311) planes as indicators. However, there is a sample with a production defect i.e. BCC characteristics with (310) plane as an indicator. This sample were then recommended to be rejected. Overall, this study shows that this XRD analytical technique can be effectively used for controlling the quality of money coin without destructs it.

scholarly journals Analysis of Service Quality Improvement Using the Six Sigma Method in the Hotel Four Seasons Resort at Jimbaran Bay

2020 ◽  
Vol 3 (2) ◽  
pp. 91-96
Author(s):  
P W Y Kencana ◽  
◽  
I P M Astawa ◽  
I M Wijana ◽  
◽  
...  
Keyword(s):  
Service Quality ◽  
Six Sigma ◽  
Quality Of Services ◽  
Level Of Service ◽  
Customer Expectations ◽  
Four Seasons ◽  
Fishbone Diagram ◽  
Administrative Procedures ◽  
Resort Hotel

The purpose of this research is to determine the level of service quality applied at the Four Seasons Resort Hotel at Jimbaran Bay with the Six Sigma method. This research applies Six Sigma as a method to improve the quality of services of the Four Seasons Resort Hotel at Jimbaran Bay, specifically to meet customer expectations so that customers feel satisfied with the services provided. The results showed that the Four Seasons Resort Hotel at Jimbaran Bay had a DPMO value of 201.944, if converted it showed a Six Sigma value of 2,34 on a satisfaction target of 5 or very satisfied. Based on the Fishbone diagram, the order of problems that dominates must be resolved is the evaluation of services and facilities, standardization of time or improvement of administrative procedures, and allocation of vacant room items.

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.

scholarly journals PENERAPAN METODE SIX SIGMA DALAM ANALISIS KUALITAS PRODUK (Studi Kasus Produk Batik Handprint Pada PT XYZ di Bali)

2017 ◽  
Vol 6 (2) ◽  
pp. 124
Author(s):  
TRI ALIT TRESNA PUTRA ◽  
I KOMANG GDE SUKARSA ◽  
I GUSTI AYU MADE SRINADI
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Six Sigma ◽  
Production Quality ◽  
Improve Production ◽  
Defect Rate ◽  
Improve Production Quality

The aim of this study was to demonstrate the application of Statistics Quality Control in fierce industries. By observing Batik production process at PT XYZ as a case in this work, we applied Six Sigma Method to analyze defective product and their cause while also measure overall quality goodness. Six Sigma is a method to improve a process and reduce defects in productions into 3.4 defects per million productions. We use handprint batik productions at PT XYZ as a case in this study. The method is involving Define, Measure and Analyze (DMA) phases. By using Six Sigma, it was obtained that the quality of handprint batik are quite good with sigma of 3.105 and defect rate of 54.269 million production (DPMO). There are four defect causes of handprint batik namely: ripped fabric, shallowness, perforation, and mispattern which contribute 41,7%, 35,8%, 15%, 7,5% respectively from overall defects. The main cause of defects is the carelessness of workers in production process. Therefore we need to reduce the carelessness to  improve production quality.

scholarly journals Analisis Pengendalian Kualitas dan Usulan Perbaikan pada Proses Edging di PT Rackindo Setara Perkasa dengan Metode Six Sigma

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
Hendy Tannady ◽  
Calvin Chandra
Keyword(s):  
Six Sigma ◽  
Compressor Unit ◽  
Statistical Tools ◽  
Fishbone Diagram

<p>This research aims to improve the quality of processes and products on PT Rackindo Setara Perkasa, especially in Meja A edging process. This research is using six sigma method with the steps of DMAIC (define, measure, analyze, improve, control). The results of this research is there are three types of defects that found in the edging process. The defects are existing on paper connection, paper edging is not long enough and the maal edging is stuck. Based on the Pareto diagram, the improvements focused on the problem of paper connection and paper edging that is not long enough. Both defects are analyzed using the fishbone diagram to describe the causes of defects. From the analysis that uses 5W1H and solution tree, the conclusion of this study are the identification of several factors that cause defects, and recommendations for improvement in edging process, by making a training for the operators of edging process, making the written SOP on edging machine, making instructions about the engine setting, additional facilities on the roller of edging machine and the addition of compressor unit. By doing the improvement, it is expected an increase of sigma value from 4,22 into 4,71.</p><p>Keywords: Six Sigma, DMAIC, Statistical Tools, Capability Process, 5W1H</p>

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