Quality Control and Optimization of Concrete Pump Truck Painting Line Based on Properties of Mechanical Materials

2013 ◽  
Vol 648 ◽  
pp. 289-292
Author(s):  
Yan Hua Ma ◽  
Ke Li Zhao ◽  
Xin Yu Zhu ◽  
Yuan Chao Pan ◽  
Jian Shen ◽  
...  
Keyword(s):  
Quality Control ◽  
Six Sigma ◽  
Lean Six Sigma ◽  
Quality Problem ◽  
Main Factors ◽  
Concrete Pump Truck ◽  
Concrete Pump

This paper is based on the summary and analysis to the quality problem of the Pump Truck Painting Line, AHP and lean six sigma are used to analyze the quality problems of the Pump Truck Painting Line, and then the main factors which affect the painting quality are found, finally, some concrete measures are put forward to improve the quality of the Concrete Pump Truck Painting Line.

scholarly journals Model pengendalian kualitas produk cover bottom (electronic part) menggunakan metode lean six sigma

2019 ◽  
Vol 11 (3) ◽  
pp. 252
Author(s):  
Dendhy Indra Wijaya ◽  
Fauzi Khair
Keyword(s):  
Quality Control ◽  
Customer Satisfaction ◽  
Six Sigma ◽  
Electronics Industry ◽  
Lean Six Sigma ◽  
Final Outcome ◽  
Electronic Part ◽  
Full Attention ◽  
Dmaic Method

Company shall give full attention to the quality of the products. In the electronics industry, quality control is the key to gain the loyalty of the customer. This is the basis for making improvement at the production activities, especially in controlling the quality in order to reduce the problem of scratch on the cover bottom using the six sigma DMAIC method. The purpose of this research is to analyze the factor that will cause defect to the product. The aimed target is to reduce the lower problem of defective products cover bottom 50%, it also to get the best result where previous defective products amounted to 8183 ppm has downed to 291 ppm and the level of the previous sigma 3,89σ rose to 4,94σ, the target is 4,14σ. This was result an exceed achievement from the Company’s target more than 50%. Six Sigma is the most effective tools at the present time, this will affect to eliminate defects, cut the time of making the product, eliminate unnecessary costs and the principal concept of science to support the sustainability of business which is focused on improving quality and customer satisfaction. The key success of improving quality depends on the ability to identify and solve the problems. This application may be useful and align with the company's philosophy, so that it can be expected to get the final outcome of the company.

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

Causes and Solutions for the Common Problems in Rotary Drilling Cast-in-Place Pile Construction

2014 ◽  
Vol 580-583 ◽  
pp. 2249-2252 ◽  
Author(s):  
Zhao Yin Zhou ◽  
Chang You Zhang
Keyword(s):  
Quality Control ◽  
Great Difficulty ◽  
Rotary Drilling ◽  
Quality Problem ◽  
The Common ◽  
Common Problems

Quality control in the rotary drilling cast-in-place pile construction is of great difficulty. Once a quality problem occurs, it would have an impact on the quality of the whole project. The text mainly analyzes the causes for the common problems in rotary drilling cast-in-place pile onstruction and gives some corresponding measures to solve them combined with engineering cases.

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 Lean Six-Sigma: the means to healing an ailing NHS?

2018 ◽  
Vol 35 (9) ◽  
pp. 1976-1988 ◽  
Author(s):  
John Bancroft ◽  
Krish Saha ◽  
Di Li ◽  
Gabor Lukacs ◽  
Xavier Pierron
Keyword(s):  
Patient Care ◽  
Six Sigma ◽  
Positive Impact ◽  
Lean Six Sigma ◽  
Content Type ◽  
Staffing Levels ◽  
Accident And Emergency ◽  
Timely Fashion ◽  
Performance Challenges

Purpose The purpose of this paper is to examine England’s Accident and Emergency (A&E) arm of the National Health Service (NHS). It considers the positive impact that Lean has had and Six-Sigma can have in A&E departments to improve the quality and reliability of the service offered, in an area that is facing performance challenges. Design/methodology/approach Independent variables average monthly temperature data (degrees Celsius) obtained from the Met Office and weekly A&E data, patient volume is analysed alongside the dependent variable, the percentage of patients seen in 4 h or less. Findings The model produced a robust positive impact when Lean Six-Sigma is adopted, increasing the likelihood of A&E dependents meeting their performance objective to see and treat patients in 4 h or less. Research limitations/implications Further variables such as staffing levels, A&E admission type should be considered in future studies. Additionally, it would add further clarity to analyse hospitals and trusts individually, to gauge which are struggling. Practical implications Should the NHS further its understanding and adoption of Lean Six-Sigma, it is believed this could have significant improvements in productivity, patient care and cost reduction. Social implications Productivity improvements will allow the NHS to do more with an equal amount of funding, therefore improving capacity and patient care. Originality/value Through observing A&E and its ability to treat patients in a timely fashion it is clear the NHS is struggling to meet its performance objectives, the recommendation of Six-Sigma in A&E should improve the reliability and quality of care offered to patients.

Lean Six Sigma leadership in higher education institutions

2017 ◽  
Vol 66 (5) ◽  
pp. 638-650 ◽  
Author(s):  
Jing Lu ◽  
Chad Laux ◽  
Jiju Antony
Keyword(s):  
Higher Education ◽  
Six Sigma ◽  
Higher Education Institutions ◽  
Lean Six Sigma ◽  
Quality Of Education ◽  
Leadership Model ◽  
Content Type ◽  
Wide Range ◽  
Leadership Framework

Purpose The purpose of this paper is to critically evaluate whether a Lean Six Sigma (LSS) leadership model could be effectively utilized to resolve efficiency and effective issues like rising costs, quality of education, graduation and retention rates encountered in higher education institutions (HEIs) in the modern era. Design/methodology/approach The authors systematically reviewed the literature on key concepts of LSS and leadership in HEIs in to develop a theoretical model using an inductive theory-building approach in accordance with the exploratory nature of the study. Findings The results of the study proposed a conceptual LSS leadership framework, which provides a basis for testing of LSS leadership representations in HEIs. The results suggest that LSS leadership has advantages for HEI to overcome currents issues and challenges. Research limitations/implications This research is a theoretical study based on the existing literature that identified characteristics that may be adopted in higher education. The proposed LSS leadership framework is based upon leadership, statistical thinking, continuous change and improvement. This model is based upon service and the concepts of adaptive, rather than technical work, of leaders in higher education. Practical implications The proposed LSS leadership framework brings new aspects and perspectives of leadership in HEIs. LSS leadership model has its practical meaning in providing a fundamental base for HEIs to overcome challenges, fulfill missions, and sustain improvements. Social implications HEIs are a foundation for principles of democracy, equality and diversity. HEIs have been a path for citizens but HEIs are facing challenges that are reducing the ability of individuals to improve themselves. Leadership of HEI needs to incorporate new principles to adapt to a changing society. Originality/value LSS project leaders have achieved improved bottom line results and customer satisfaction in a wide range of industries, but LSS application in the HEIs remains to be explored. This paper proposes an effective LSS leadership model, which can help improve the quality of education, reduce non-value added costs and enhance operational efficiency of HEIs.

Six Sigma Methodology in Increasing Spirulina Production

Minerva ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 23-28
Author(s):  
Daniel Freire ◽  
Omar Flor ◽  
Gabriela Alvarez
Keyword(s):  
Six Sigma ◽  
Culture Media ◽  
Arthrospira Platensis ◽  
Lean Six Sigma ◽  
Growth Monitoring ◽  
Current State ◽  
Physical And Chemical Variables ◽  
Six Sigma Methodology ◽  
Physical And Chemical

This work presents results of improvement in the productivity of Arthrospira platensis (spirulina) in a company dedicated to its production. The six sigma methodology was applied in production processes that require the use of bioreactors. Starting from the analysis of the current state, aspects, physical and chemical variables that directly influence the productivity achieved were identified. Various culture media were tested and subsequently scaled for industrial production. In addition, the incorporation of carbon into the culture medium was controlled, optimizing the range of potential hydrogen pH. The identified parameters were measured and six sigma methodology strategies were assigned. An improvement in productivity corresponding to 66% was verified with the same quality of final product. Keywords: Six sigma, Bioreactors, Productivity, Arthrospira platensis. References [1]E. Ariawan and A. Makalew, “Smart Micro Farm: Sustainable Algae Spirulina Growth Monitoring System” in 10th International Conference on Information Technology and Electrical Engineering (ICITEE), Bali, 2018, pp.1-4. [2]L. Socconini and C. Reato, Lean six sigma: sistema de gestión para liderar empresas. Primera edición. Barcelona: Marge Books, 2019. [3]H. Gutiérrez, Calidad and productividad. Cuarta edición. México D.F.: McGraw-Hill Interamericana, 2014. [4]G. Usharani, P. Saranraj and D. Kanchana, “Spirulina Cultivation: A Review” in International Journal of Pharmaceutical & Biological Archives, vol. 3, no. 6, pp. 1327-1336, December 2012. [5]J. Udin, O. Gani, A. Mahato, I. Sakib and M. Rakiuzzaman, SPIRULINA (Spirulina platensis) PRODUCTION IN DIFFERENT PHOTOBIOREACTORS ON ROOFTOP, International Journal of Business, Social and Scientific Research, vol. 8, no. 1, pp. 15-19, January 2020. [6]M. Arredondo, Contabilidad y análisis de costos. Primera edición. México D.F.: Grupo Editorial Patria, 2015. [7]J. García, Contabilidad de costos. Cuarta edición. México D.F.: McGraw-Hill Interamericana, 2014. [8]L. Socconini, Certificación Lean Six Sigma Green Belt para la excelencia en los negocios. Primera edición. Barcelona: Marge Books, 2015. [9]A. Vian, Introducción a la Química Industrial. Segunda edición. Buenos Aires: Reverté, 2012. [10]S. Milton, Estadística para Biología y Ciencias de la Salud. Tercera edición. Madrid: McGraw-Hill Interamericana, 2014.

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.

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