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Lean Six Sigma

About: Lean Six Sigma is a research topic. Over the lifetime, 1919 publications have been published within this topic receiving 29142 citations.


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12 May 2021
TL;DR: In this paper, the authors apply the Design for Six Sigma (DFSS) methodology to the design of a high pressure turbine (HPT) disc, which can then be used as a template for a generic robust design process.
Abstract: Gas turbines are highly complex systems with many competing and increasingly onerous requirements, for example: lower emissions, improved availability and lower running costs. This means that future designs will be driven to be lighter in weight, operate at higher and higher temperatures and speeds to reduce fuel burn, whilst at the same time maintaining acceptable life and overall performance characteristics. However, it is important to recognise that all of these requirements must also be robust (insensitive) to the effects of variation (“noise”) to which the gas turbines will be subjected throughout their lives. In order to better identify solutions to these requirements a number of new technologies are being developed in research programmes and then applied in full engine programmes. As an example of this improvement activity, Design for Six Sigma (DFSS) has been applied to the design of a specific component – a High Pressure Turbine (HPT) disc – the result of which will then provide a template for a generic robust design process going forward that can produce better designs faster. The aim of this paper is to show how DFSS was applied, using a “DCOV” methodology, to result in a quantitatively robust HPT disc design. An overview of the DCOV methodology will be given including usage of some of the key tools, such as: Quality Function Deployment (QFD), Design of Experiments, Surrogate modelling, Analytic Hierarchy Process (AHP), Monte Carlo simulation, Data Mining and parameter design. This will be followed by a review of the DCOV process for the HPT disc example.

15 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigate the awareness and opportunities for Lean Six Sigma in public sector municipalities striving to become more efficient and effective in the quality and delivery of services and goods leading to increased citizen satisfaction and budget savings.
Abstract: The purpose of this study is to investigate awareness and opportunities for Lean Six Sigma in public sector municipalities striving to become more efficient and effective in the quality and delivery of services and goods leading to increased citizen satisfaction and budget savings.,Lean Six Sigma is a quality improvement methodology widely implemented in the for-profit sectors and, now, is expanding into the public sector. This study includes a literature review on Lean Six Sigma, supported by results from interviews with public sector officials, and includes recommendations for how public sector entities can utilize Lean Six Sigma.,Based on results from interviews with a sample of public sector officials, this study uncovered that overall there exists a keen interest in Lean Six Sigma and how it can be applied to streamline and improve organizational processes, produce cost-savings, improve organizational culture and improve the quality of goods and services. This study also discovers that there are plenty of opportunities for Lean Six Sigma in the public sector and municipalities can, in fact, incorporate its philosophy and methodology to streamline and improve organizational processes, produce cost-savings, improve organizational culture and improve the quality of goods and services.,Abundant literature exists on Lean Six Sigma and the private sector. This study includes a review of the literature supported by interview results of public sector officials and suggests techniques for how public sector municipalities can utilize the Lean Six Sigma methodology. In a twenty-first-century economy, public sector officials are looking for ways to maximize their tax dollars while increasing the quality of their goods and services; Lean Six Sigma is a framework that can make these objectives become a reality.

15 citations

Journal ArticleDOI
TL;DR: How human factors and cognitive engineering methods can be combined with Lean - Six Sigma to create an enhanced productivity framework for complex manufacturing is described.

15 citations

Journal ArticleDOI
TL;DR: Abstract Background: Continual improvement is a necessary part of hospital culture and this occurs by identifying opportunities for improvement that influence efficiency while saving money.
Abstract: Background: Continual improvement is a necessary part of hospital culture. This occurs by identifying opportunities for improvement that influence efficiency while saving money. Methodolog...

15 citations

01 Jan 2013
TL;DR: In this article, the authors mainly focus on various process methodologies that are used to reduce the delay in the manufacturing process in order to improve the productivity of the manufacturing systems, which is one of the biggest causes of ineffectiveness, inefficiencies, and poor performance.
Abstract: Lean Six Sigma is a tool that can reduce muda (waste) during the manufacturing process. Lean Six Sigma is an integration of Six Sigma and Lean Manufacturing, both quality improvement techniques. Lean and Six Sigma are highly complementary and Six Sigma provides an integrated improvement approach that increases quality by reducing variation, defects, and costs. Lean adds tools that increases process throughput by eliminating waste. There are 7 types of waste that occurs during the production systems such as delay, conveyance, over processing, correction, conveyance so on and Delays occurs in the day to day process during manufacturing. But in process terms, delays are one of the biggest causes of ineffectiveness, inefficiencies, and poor performance. Hence, this paper mainly focus on various process methodologies that are used to reduce the delay in the manufacturing process in order to improve the productivity of the manufacturing systems.

14 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
2023109
2022205
2021183
2020187
2019190