scholarly journals IMPLEMENTASI PENERAPAN METODE SIX SIGMA PADA PROSES PERAKITAN ELEKTRO MOTOR (STUDI KASUS: PT. TATUNG ELECTRIC INDONESIA)

Kilat ◽  
2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Arief Suardi Nur Chairat
Keyword(s):  
Continuous Improvement ◽  
Six Sigma ◽  
Manufacturing Industry ◽  
Control Technique ◽  
Assembly Process ◽  
Sigma Level ◽  
Quality Of Products ◽  
Dmaic Method ◽  
Over Time

Tatung Electric Indonesia is a peripatetic company in manufacturing industry assembling of electro motor. So that product yielded by PT. Tatung Electric Indonesia can continue to fulfill requirement of customer, company try to improve the quality of its product by minimizing defect which during the time still happened. This defect arising caused by the existence of variation at yielded product and also that happened in the process. Six Sigma represent control technique or method to reach storey or level quality of 3.4 DPMO ( Defects Per Million Opportunities), which applied by Motorola company since year 1986. Applying strategy to be used is Define-Measure-Analyze-Improve-Control (DMAIC). This Method represent recuring step and form a make-up of quality cycle. Calculations show the company is 3.641 sigma level with DPMO 15,830. The sigma levels are on the average level of sigma industries in Indonesia (3-4 sigma). Increased levels of sigma would happen if the company immediately continuous improvement over time. Conclusion of the application of Six Sigma is the DMAIC method in the assembly process of electro motors can analyze and reduce disability that occurs that will increase the quality of products.

scholarly journals Penerapan Metoda Six Sigma DMAIC untuk Mengurangi Cacat Pakaian 514 (Studi Kasus di CV Jaya Reksa Manggala)

2018 ◽  
Vol 7 (1) ◽  
pp. 31
Author(s):  
Sugih Sudharma Tjandra ◽  
Nixon Setia Utama ◽  
Hanky Fransiscus
Keyword(s):  
Quality Improvement ◽  
Initial Data ◽  
Six Sigma ◽  
Sigma Level ◽  
Control Stage ◽  
Improvement Method ◽  
And Control ◽  
Dmaic Method

<em>CV Jaya Reksa Manggala (JRM) is one of clothing company. With increasing competition in this clothing company, the companies are required to keep improving the quality of clothing products. One of the important things in quality is reduction of product defects. One of the proven methods of  quality improvement is the Six Sigma DMAIC method, which is a continous improvement method that aims to achieve the best quality. One of the products of CV JRM which is still have a lot of defects is 514 products. From the initial data obtained, DPMO value for process I and II for 514 products is 10,768.52 and 27,341.42 with sigma level 3.79 and 3.43. The steps undertaken in this Six Sigma DMAIC method include define, measure, analyze, implementation and control. Several proposed improvements were then made to reduce the problem of these defects and from the data at the control stage, the DPMO values of processes I and II became 2,941.76 and 1,812.69 with sigma levels of 4.25 and 4.41. From this result it can be said that with Six Sigma DMAIC method, there is improvement of quality for product 514 at CV JRM. </em>

scholarly journals Application of Six Sigma (Dmaic) Method to Reduce Defect Amount in Assembly Process A Case Study PT. XYZ

2019 ◽  
Vol 2 (3) ◽  
pp. 59
Author(s):  
Warinah Warinah ◽  
Dewi Nusraningrum
Keyword(s):  
Six Sigma ◽  
Assembly Process ◽  
Sigma Level ◽  
Heel Height ◽  
A Company ◽  
Dmaic Method ◽  
Improvement Effort ◽  
Very High ◽  
Method Show

PT. XYZ is a company engaged in industry and manufacturing in the manufacture of sports shoe products. The company has a very high defect in the assembly process seen in the defective rate report from January 2017 to August 2018. The purpose of this study is to reduce the number of defects in the assembly process using the Six Sigma (DMAIC) method. The results showed that there were 5 dominant types of defects related to Critical To Quality (CTQ), namely Undercement, Dirty shoes, Unpairing-heel height, Broken stitching and Quarter wrinkles. Furthermore, an analysis of the causes of defects is carried out by using cause and effect diagrams and an improvement effort using 5W + H analysis. The results of efforts to decrease the number of defects in the assembly process using the DMAIC method show that the DPMO value for these five CTQ defects decreased to 2056 PPM from 3898 PPM or decreased by 47.3%. Whereas for the value of the sigma level obtained 4.39 σ from 4.16 σ

scholarly journals ANALISIS PENGENDALIAN KUALITAS PRODUK GARMENT PADA PROJECT IN LINE INSPECTOR DENGAN METODE SIX SIGMA DI BAGIAN SEWING PRODUKSI PADA PT BINTAN BERSATU APPAREL BATAM

2018 ◽  
Vol 2 (1) ◽  
pp. 29-45
Author(s):  
Monica Elisa Napitupulu ◽  
Shinta Wahyu Hati
Keyword(s):  
Six Sigma ◽  
Production Management ◽  
Manufacturing Companies ◽  
Business World ◽  
Damage Level ◽  
Product Number ◽  
Quality Of Products ◽  
And Control ◽  
Dmaic Method

Abstract  Competition among competitors in the increasingly tight business world today encourages companies to develop more effective and efficient way in achieving the goals and objectives that have been set. With the current information and technology consumers become more sensitive about quality and price of a product. Therefore, companies are required to improve the quality of products produced and continuously improve and improve. PT Bintan Bersatu Apparel Batam is one of the manufacturing companies engaged in the production of sportswear. PT Bintan Bersatu Apparel also strives to continuously improve the quality by pressing the product number in the product process in this company. Six sigma as an alternative to the principles of quality control, enabling companies to improve with the actual breakthrough. Six sigma is an important tool for production management to maintain, maintain product quality and improve quality towards zero defect. So six sigma is a method or technique. Which is a new breakthrough in the field of quality management. By using six sigma method can be known quality sportswear produced PT Bintan Bersatu Apparel in 3.55 sigma with damage level of 20,290 for one million production (DPMO). Six sigma quality improvement in this research can be concluded there are three causes of the product: workmanship or constructionas much as 82.04%, fabric as much as 13.82% and accessories as much as 4.14%.In this research data analysis used Six Sigma (DMAIC) method which through five stages that is define, measure, analyze, improve and control.  

scholarly journals QUALITY CONTROL ANALYSIS WITH SIX SIGMA-DMAIC METHOD IN EFFORT REDUCE NUMBER OF SUGAR PRODUCTS AT PT. PG. GORONTALO

2018 ◽  
Vol 8 (2) ◽  
Author(s):  
Ida Ayu Nuh Kartini ◽  
Dwi Jayanthi Syarief
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Six Sigma ◽  
Human Factor ◽  
Control Analysis ◽  
Quality Control Analysis ◽  
Data Production ◽  
Quality Of Products ◽  
Dmaic Method

Companies need to maintain and improve the quality of products derived by applying a good quality control, because quality is an important factor in improving satisfaction and loyalityas consumers, as well as PT. PG .Gorontalo ; Six Sigma methods that have high discipline can help develop and deliver near-perfect products. The purpose of this study was to determine how the value of sigma PT .PG . Gorontalo and what factors of product defects. In this analyzis , researchers took 3 months of data production and analyze the Six Sigma DMAIC method. Researchers examined / analyzed using a questionnaire and the report of production to help get the material of analyzis. From this research , it has been showed that the presence of defects of products in the production process of PT. PG. Gorontalo at 5.664, 72 DPMO. It is also known that the cause is the human factor , machines, methods, materials, and environment. Based on these results , we can conclude that the value of sigma PT. PG. Gorontalo is located at 4 to 4.5 sigma, the factor most dominant cause of disability is due to lack of proper vacuum pressure

scholarly journals APLIKASI PENDEKATAN SIX SIGMA UNTUK PERBAIKAN KUALITAS PADA PROSES PEMBUATAN TANK WASHER

2018 ◽  
Vol 10 (3) ◽  
pp. 285
Author(s):  
Anjar Suprayogi
Keyword(s):  
Production Process ◽  
Six Sigma ◽  
Final Stage ◽  
Standard Operating Procedure ◽  
Sigma Level ◽  
Defect Rate ◽  
Measurement Results ◽  
Standard Operating ◽  
Dmaic Method

PT. Laksana Teknik Makmur is a manufacturing company engaged in the manufacture of car accesories in Indonesia. One of the products produced is a tank washer with a high defect rate in the production process of 11 percent. This study uses the DMAIC method (Define, Measure, Analyze, Improve, Control) as a tool to solve problems about improving the quality of the process of making tank washer. The initial analysis for Define shows that CTQ (Critical to Quality) is the largest defect of the wave, which is 4.1 percent of the total defects of tank washer. From the measurement results in the Measure stage, the DPMO value is 108475 with Sigma Level 2.73. Then Analyze is done to get any factors that cause wave defects. On the Improve stage using Ishikawa's method, the results of the new Standard Operating Procedure are recommended. In the final stage, Control is carried out after the implementation of the new SOP for 1 month, the result is that the wave defect value drops to 2 percent and the Sigma Level value increases to 3.326 with the value of DPMO 20424.

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 KONSEP DAN TEKNIK MANAIEMEN MUTU TERPADU

2017 ◽  
pp. 94-101
Author(s):  
Saut Pruba
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Continuous Improvement ◽  
Six Sigma ◽  
Employee Empowerment ◽  
Just In Time ◽  
Statistical Process

Quality is a term that has diflferent meanings to different people. Quality set out in this paper are the features and characteristics of the total of a product or service associated with its ability to satisfij the needs of the visible or disguised. The quality of the environment requires an establishment of TQM because quality can not be examined only in a product. In this paper also discussed the concept of the seven TQM: continuous improvement, Six Sigma, employee empowerment, benchmarking, just in time, the concept of Taguchi TQM techniques and knowledge. TQM is the seventh technique check sheet, scatter diagrams, cause-effect diagrams, Pareto charts, flow charts, histograms, and statistical process control.

Reducing failure rate at high voltage (HV) testing of insulator using Six Sigma methodology

2018 ◽  
Vol 67 (5) ◽  
pp. 791-808 ◽  
Author(s):  
Darshak A. Desai ◽  
Aurangzeb Javed Ahmed Shaikh
Keyword(s):  
Failure Rate ◽  
High Voltage ◽  
Six Sigma ◽  
Manufacturing Industry ◽  
Small Scale ◽  
Case Study Methodology ◽  
Content Type ◽  
Sigma Level ◽  
Ceramic Manufacturing

PurposeThis paper, a case study, aims to illustrate the application of Six Sigma in a small-scale ceramic manufacturing industry. The purpose of this paper is to demonstrate the empirical application of DMAIC methodology to reduce failure rate at high voltage (HV) testing of one of the most critical products, insulator.Design/methodology/approachThe case study is based on primary data collected from a real-life situation prevailing in the industry. The case study methodology adopted here is at one small-scale unit wherein the authors have applied DMAIC methodology and observed and recorded the improvement results, especially, reduction in failure rate at HV testing of insulator and, thus, increase in Sigma level.FindingsThe results found after implementation of the solutions are very significant. The rejection percentage has been reduced from 0.5 to 0.1 percent and consequently the Sigma level has been improved from 4.4 to 5.0.Research limitations/implicationsThis success story can be a guiding roadmap for other such industries to successfully implement Six Sigma to improve quality, productivity and profitability.Practical implicationsThis case study will serve as one of the resource bases for the industries which have till not implemented Six Sigma and benefited from the same.Social implicationsImproved quality and productivity leads to better economy. This case will help industries to serve the society with better economy with improved quality and productivity.Originality/valueThough ceramic industries in India are having enormous potential for growth, majority of them, especially, small and medium industries are either not aware of or not implementing Six Sigma to reap its multidimensional benefits of improving quality, productivity and profitability. This study highlights the benefits reaped by small-scale ceramic manufacturing industry opening up the avenues for its application at other such organizations.

scholarly journals Performance Evaluation Using Multivariate Non-Normal Process Capability

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 833 ◽  
Author(s):  
Alatefi ◽  
Ahmad ◽  
Alkahtani
Keyword(s):  
Manufacturing Industry ◽  
Process Capability ◽  
Quality Characteristic ◽  
Process Capability Indices ◽  
Manufacturing Processes ◽  
Capability Indices ◽  
Skewness Reduction ◽  
Quality Of Products

Process capability indices (PCIs) have always been used to improve the quality of products and services. Traditional PCIs are based on the assumption that the data obtained from the quality characteristic (QC) under consideration are normally distributed. However, most data on manufacturing processes violate this assumption. Furthermore, the products and services of the manufacturing industry usually have more than one QC; these QCs are functionally correlated and, thus, should be evaluated together to evaluate the overall quality of a product. This study investigates and extends the existing multivariate non-normal PCIs. First, a multivariate non-normal PCI model from the literature is modeled and validated. An algorithm to generate non-normal multivariate data with the desired correlations is also modeled. Then, this model is extended using two different approaches that depend on the well-known Box–Cox and Johnson transformations. The skewness reduction is further improved by applying heuristics algorithms. These two approaches outperform the investigated model from the literature because they can provide more precise results regardless of the skewness type. The comparison is made based on the generated data and a case study from the literature.

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