Applying six sigma for building world-class selection programs

2010 ◽  
Author(s):  
Jennifer R. Burnett
Keyword(s):  
Author(s):  
Sutrisno Harianto ◽  
Ellysa Nursanti

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


2019 ◽  
Author(s):  
Cláudio Filipe Lima Raposo ◽  
Marina Lourenço da SIlva

E A preocupação com a Produção no século XXI é destaque em um mundo cada vez globalizado e as necessidades humanas cada vez mais complexas e insaciáveis. O presente trabalho busca uma abordagem sobre as técnicas Lean Manufacturing, Six Sigma e World Class Manufacturing (WCM) destacando sua importância para o mercado industrial, a busca do conhecimento dessas ferramentas no século XXI. A integração do dessas ferramentas tende a elevar plenamente a qualidade do produto, no processo de produção, na redução de diversos custos, na conservação do ambiente de trabalho e no desenvolvimento de uma indústria mais fluida.


2016 ◽  
Vol 43 (1) ◽  
pp. 1-8
Author(s):  
Özlem Gülbahar ◽  
Murat Kocabıyık ◽  
Mehmed Zahid Çıracı ◽  
Canan Demirtaş ◽  
Fatma Uçar ◽  
...  

AbstractIntroduction:In our study, we aimed to evaluate the analytical process performances of the biochemistry tests in the analysis systems that were widely used in the clinical laboratories by using the six-sigma methodology.Methods:The analytical performances of four different analytical platforms (Beckman Coulter-Olympus AU2700, Abbott-Architect C8000, Roche-Cobas 8000, and Siemens-ADVIA 2400) running 18 biochemical tests (urea, creatinine, uric acid, total bilirubin, AST, ALT, ALP, LDH, HDL-C, CaResults:The parameters that have σ≥6 which means in world class are HDL-C and ALP in all four systems, while only NaDiscussion and conclusion:To improvement and monitoring of the analytical process performance as a part of total quality of a clinical laboratory to provide continuous improving, sigma levels can be used as it is a reliable method.


2014 ◽  
Vol 598 ◽  
pp. 647-651
Author(s):  
Ganesh Kumar Nithyanandam ◽  
Manmohanraj Raju ◽  
Gokulraj Srinivasan

Lean Six Sigma is a disciplined data driven approach to improve the quality and the performance of a process or a system with which finally results to the profitability of a firm. Many of the organizations have adopted Six Sigma methodology to improve their quality and their performance to competitive industrial world. This work is concentrated with one of the leading Automotive component manufacturing company in South India. The main objective of this paper was to reduce the product defect with the application of Lean Six Sigma methodology. The paper follows the DMAIC methodology to investigate defects and its root causes and provide a solution to reduce and/or eliminate these defects. This paper also explores how a manufacturing process can use a systematic methodology to move towards world-class quality level.


Tibuana ◽  
2020 ◽  
Vol 3 (02) ◽  
pp. 1-11
Author(s):  
Matias Kurnia Widyanto

The successful implementation of the six sigma quality improvement program is demonstrated through the improvement of the capability process in producing products leading to zero defect. Therefore, the concept of calculating process capability is very important to understand in the implementation of the Six Sigma program. This research raises the problem of the low level of capability process in producing yarns at PT. Sutra Cotton Textile Industries, Surabaya. By wisely applying six sigma techniques can help reduce things that can affect overall costs. If a company has successfully implemented the concepts in six sigma, then it can be ascertained that the company is truly a reliable company in the world class. Another advantage gained from the implementation of the Six Sigma program is the achievement of targets, namely the increased capability process, of course, in terms of cost. From secondary data in May 2019, in the measure phase it is known that the DPMO value of 16,266 which can be interpreted that of one million production carried out there was a defect of 16,266 with a sigma value of 3.64. From these results it can be said that the production process in Winding has not been able to produce products that fit the desired specifications and is still lagging behind other subprocesses. method. The main priority in carrying out corrective actions based on FMEA is to clean and check the machine at the end of each production cycle. From the results of improvements, the sigma value and DPMO value obtained in September 2019 is 10,977 DPMO which means that of one million production carried out there is a defect of 10,977 with a sigma value of 3.80.


2014 ◽  
Vol 889-890 ◽  
pp. 1467-1470
Author(s):  
Yi Bing Li ◽  
Zhi Wei Zhang ◽  
Jun Guo

Optoelectronic industry is one of the pillar cornerstone industries in the 21st century. For China optoelectronic enterprises, how to participate in the global competition by means of the world-class quality has become the survival or perish subject. Based on the analysis of optoelectronic products and its quality management characteristics, this paper proposed the product lifecycle quality management model which is customer demands-driven and six sigma process control targeted by emphasizing the process control based on fact and data. This paper suggested and illustrated the prototype system of optoelectronic product lifecycle quality management combined with the actual quality management for demonstrating the feasibility of model.


2020 ◽  
Vol 30 (1) ◽  
pp. 149-152
Author(s):  
Abdurrahman Coskun ◽  
Cristiano Ialongo

The Six Sigma methodology has been widely implemented in industry, healthcare, and laboratory medicine since the mid-1980s. The performance of a process is evaluated by the sigma metric (SM), and 6 sigma represents world class performance, which implies that only 3.4 or less defects (or errors) per million opportunities (DPMO) are expected to occur. However, statistically, 6 sigma corresponds to 0.002 DPMO rather than 3.4 DPMO. The reason for this difference is the introduction of a 1.5 standard deviation (SD) shift to account for the random variation of the process around its target. In contrast, a 1.5 SD shift should be taken into account for normally distributed data, such as the analytical phase of the total testing process; in practice, this shift has been included in all type of calculations related to SM including non-normally distributed data. This causes great deviation of the SM from the actual level. To ensure that the SM value accurately reflects process performance, we concluded that a 1.5 SD shift should be used where it is necessary and formally appropriate. Additionally, 1.5 SD shift should not be considered as a constant parameter automatically included in all calculations related to SM.


2016 ◽  
Vol 5 (3) ◽  
pp. 83
Author(s):  
Rafael Berrúm ◽  
Victor Castano

The processing defects of an World-class spark plugs-producing company are described, in terms of the Technology Management challenges involved. The full analysis of this complex situation, which involved 3 plants within the same factory, in terms of a Six Sigma approach, is explained, as well as the simple rengineering proposal, which led to an improvement from 2.47 Sigma to 5.32 Sigma in some specific cases, along with significant savings due to less product rejection and waste material.


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