Improvement of a Production Process with the Use of Six Sigma Methodology (original) (raw)
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Six Sigma Methodology – Tool for Improving the Capability of the Production Process
Mechanical Engieneering-Scientific Journal, 2019
Modern industrial production companies on a global scale over the past decade have been facing sectoral challenges in terms of competitiveness, reducing production costs and increasing the quality of products and services. This challenge is especially focused on investing in scientific, systematic models for development, monitoring and maintenance of production facilities, but always the main emphasis is on the sustainability of quality in the conditions of rapid expansion of the global market and automation of the industry. Topic in this paper is Six Sigma Methodology. Six Sigma is statistical methodology for normalizing process and a methodology that is data-driven and customer focused, highly disciplined process that help develop and deliver near perfect product and services. Results of research in this paper, the practical example, clearly show the importance of the sistematic analysis and usage of the Six Sigma methodology in the productive processes with DMAIC method for stabilization, improvement and reduction of standard deviation.
Process and Productivity Improvement through Six Sigma: A Case Study at Production Industry
Journal of Mechanical Engineering and Automation, 2016
The article presents a case study, conducted to increase the productivity by implementing Six Sigma (SS) methodology in a traditional Small Scale Industry (SSI) with very low capital investment and minimum changes to the existing technology. Further, DMAIC (Definition-Measure-Analysis-Improve-Control) approach is used to effectively deploy SS strategy. MINITAB statistical software is used to interpret the results. Implementation of the SS methodology has resulted in increased productivity in the organization. Rework of the leaf plate assembly which was a major concern of industry has been reduced. The current project is based on the single case study; thus results cannot be generalized. But, lessons learned and managerial implications are applicable to similar industries and projects. Further, due to the limited resources such as time, capital investment, and level of adaptability all the factors which would improve the productivity could not be tackled. But being under constraint, study has helped to increase the productivity of the organization. The problems faced by the SSI might be of different, but the methodology followed helps all other SSI to implement SS, being under their limitations.
Six Sigma - A New Direction to Quality and Productivity Management
The fast changing economic conditions such as global competition, declining profit margin, customer demand for high quality product, product variety and reduced leadtime etc. had a major impact on manufacturing industries. To respond to these needs various industrial engineering and quality management strategies such as ISO 9000, Total Quality Management, Kaizen, Just-in-time manufacturing, Enterprise Resource Planning, Business Process Reengineering, Lean management etc. have been developed. A new paradigm in this area of manufacturing strategies is Six Sigma. The Six Sigma approach has been increasingly adopted world wide in the manufacturing sector in order to enhance productivity and quality performance and to make the process robust to quality variations. This paper discusses the quality and productivity improvement in a manufacturing enterprise through a case study. The paper deals with an application of Six Sigma DMAIC(Define-Measure-Analyze-Improve-Control) methodo -logy in an industry which provides a framework to identify, quantify and eliminate sources of variation in an operational process in question, to optimize the operation variables, improve and sustain performance viz. process yield with wellexecuted control plans. Six Sigma improves the process performance (process yield) of the critical operational process, leading to better utilization of resources, decreases variations & maintains consistent quality of the process output.
A Review : Six Sigma Implementation Practice in Manufacturing Industries
2014
Higher Productivity achievement is very crucial factor for the field of production. With the High productivity various other factors must be taken in to consideration in manufacturing industries such as global competitors, diversity in product range, lead time and customer demand in terms of quality and quantity. A new benchmark called Six Sigma has been invented for dealing with all these needs. Six sigma is a quality initiative which reduces variations in a process and helps to lower the cost of product as well as process. The objective of this paper is to review and examine the advancement and encounters of six sigma practices in Global manufacturing Industries and identify the key tools for each step in successful Six Sigma project execution. The paper also integrates the lessons learned from successful six sigma projects and their prospective applications in various manufacturing Industries. In today scenario, many global manufacturing industries operate their processes at the ...
Application of Six-Sigma for Process Improvement in Manufacturing Industries: A Case Study
This is an era of quality management and quality is a parameter for the selection of a product or service because the customer wants a defects free product or service. Six Sigma is a quality improvement approach that aims to reduce the number of defects up to 3.4 parts per million. In the last three decades, it helped several companies to enhance the capability of their processes and to increase the level of quality of their product or service. This case study based research deals with application of DMAIC (Define, Measure, Analyze, Improve and Control) methodology of Six Sigma to reduce the machine downtime for process improvement. The tools and techniques used during the analysis are Process Mapping (SIPOC Diagram), Process Flow Chart, Process Capability Analysis, Histogram, Pareto Chart, Pie Chart, Cause and Effect Diagram, Brainstorming, Affinity Diagram and ANOVA. The results of this study show that sigma value has improved from 2.79 Sigma to 2.85 Sigma. This study also highlighted the five critical problems (reasons) of Downtime, which are i.e. Electricity Problem, Shortage of Material, Quality Issues, Machine Fault and Reactive Maintenance. The valuable principles and practices of Six Sigma will do well by continuously refining the organizational culture. Time and commitment both are required and compulsory to bring change in cultural before they are strongly implanted into the organization. I do assure that this research study will provide opportunities to the organizations for the better implementation of six sigma projects.
International Business Management
This is an era of quality management and quality is a parameter for the selection of a product or service because the customer wants a defects free product or service. Six Sigma is a quality improvement approach that aims to reduce the number of defects up to 3.4 parts per million. In the last three decades, it helped several companies to enhance the capability of their processes and to increase the level of quality of their product or service. This case-study based research deals with application of DMAIC (Define, Measure, Analyze, Improve and Control) methodology of Six Sigma to reduce the machine downtime for process improvement. The tools and techniques used during the analysis are Process Mapping (SIPOC Diagram), Process Flow Chart, Process Capability Analysis, Histogram, Pareto Chart, Pie Chart, Cause and Effect Diagram, Brainstorming, Affinity Diagram and ANOVA. The results of this study show that sigma value has improved from 2.79 Sigma to 2.85 Sigma. This study also highlit...
Six Sigma: A Key Driver for Process Improvement
Communications of the IBIMA, 2011
Six Sigma is a one of the most common used programs in production companies for reduce cost, improve productivity and provide a basis for goals improvement which leads to competitive advantage. Understanding the key Six Sigma factors (Total Quality Management, strong customer focus, data analysis tools, financial results and project management) allows organizations to better support their strategic directions focused on improving customer requirements through the improving of own business systems and operational performances. In this paper will be described a Six Sigma approach and presented results of the empiric research conducted in Croatian graphic companies. All findings of this empiric research will provide better understanding of Six Sigma benefits and graphic companies, but production companies will be able to guide business and production processes in right directions with minimizing inputs, maximizing outputs and satisfy owners, employees and customers.
A REVIEW ON SIX SIGMA METHODOLOGY IN MANUFACTURING INDUSTRIES
Six Sigma has develop as a most powerful quality improvement methodology in many industries and its significance is growing. This paper represents that the concept of Six Sigma, DMAIC methodology used to implementation of Six Sigma specially for manufacturing industries. And some issues that are acting as most critical successful factors for implementation of Six Sigma by manufacturing industries have been discussed. In this paper the methodology, implementation and benefits of Six Sigma is described. At last some topics for future research are presented.
Six Sigma Methodologies to Improve Processes in Industries
IRJET, 2022
Businesses operate in an environment that is fiercely competitive, where customer happiness and loyalty are essential to any company's success. Most businesses look for managerial techniques to enhance their goods and services, perfect their procedures, cut costs, and raise the profitability and happiness of the capital. These call for the application of improvement approaches, such as Six Sigma, giving businesses the chance to raise customer satisfaction and fulfil their expectations. Six Sigma has gained widespread acceptance across a number of global industries and has become as one of the most crucial topics of discussion in quality control. Using an efficient application of statistical tools and techniques, Six Sigma is a well-structured methodology used to identify the underlying causes of quality issues and to eliminate defects and process variability within the business processes. Additionally, it can assist a business in achieving anticipated goals through ongoing project improvement.