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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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Book ChapterDOI
01 Jan 2021
TL;DR: The study concluded that the implementation of LSS supports the case industries to improve their quality, cost, delivery, production capacity, net earnings, overall savings, customer satisfaction and reduce their defects, inventory, cycle time, and machine breakdown.
Abstract: Lean manufacturing objective is to eliminate the waste from the manufacturing process, and six sigma is grasping the variations within the process and tries to reduce them. Lean manufacturing or six sigma alone cannot improve the quality, customer satisfaction rate, net earnings and also cannot reduce the overall production cost of the organization, but the combined approach may solve these issues. Lean six sigma (LSS) is a combined approach which maximizes the overall value and minimizes the production cost by applying their tools and techniques such as VSM, JIT, 5S, Kaizen, and Kanban. The objective of this paper is to assess the benefits of LSS approach in a manufacturing organization. The data are collected through convenient sampling approach from manufacturing organizations situated in India and analyzed through integrated relative importance index and simple regression analysis approach. The findings of the study contributed to manufacturing industries and lay down a few suggestions for implementing lean six sigma in case manufacturing organizations. The three different manufacturing organizations considered performing this study. The study concluded that the implementation of LSS supports the case industries to improve their quality, cost, delivery, production capacity, net earnings, overall savings, customer satisfaction and reduce their defects, inventory, cycle time, and machine breakdown. The study helps LSS practitioners and academician to better understand the benefits observed while implementing the lean six sigma approach in manufacturing organizations.

6 citations

Proceedings Article
01 Jan 2014
TL;DR: It is proposed that sustainability is achieved by formulating strategies that enhance customer and community well-being via addressing environmental concerns especially on toxic substance, greenhouse gas (GHG) and air emissions.
Abstract: Evaluation of programs initiated by manufacturing firms that are geared toward sustainability is worthy of attention in research due to the current global demands of addressing not just economic growth but environmental and social burdens. This paper attempts to provide a comprehensive evaluation framework using the hierarchical structure of sustainable manufacturing (SM) indicators set developed by the US National Institute of Standards and Technology (US NIST) and a multi-criteria decisionmaking (MCDM) approach, the analytic network process (ANP). ANP is deemed appropriate, aside from the multi-criteria nature of the problem, because of the presence of subjective components that are interrelating in complex relationships. A real case study is carried out in a semiconductor manufacturing firm in the Philippines in the evaluation of its programs toward sustainability. The results show that the creation and implementation of cleaner production technologies are considered the most relevant programs. Developing energy-efficient products and adopting lean six sigma programs are considered second on the list. This paper proposes that sustainability is achieved by formulating strategies that enhance customer and community well-being via addressing environmental concerns especially on toxic substance, greenhouse gas (GHG) and air emissions. The contribution of this paper consists in providing an evaluation framework which is comprehensive enough to capture real-life complex decision-making processes. Limitations and possibilities for future research are also presented in this paper.

6 citations

Proceedings ArticleDOI
01 Jan 2008
TL;DR: In this article, the authors implemented the DMAIC problem solving method applying different quality management and lean tools in order to analyze and eliminate defect and waste causes, and improve the performance level of a manufacturing system.
Abstract: The application of innovative methodologies and problem solving methods to organize and manage manufacturing processes is essential to increase business performance of a company and satisfy customer demand. Specifically, combining Six Sigma quality with Lean Production speed empowers all companies to reach customer satisfaction through continuous improvement and reduction of non added value activities. The goal of this paper is to explain and show the power of Six Sigma and Lean production combination in a manufacturing company that realizes brass extruded and drawn pieces. Lean Six Sigma represents one of more dynamic and innovative program of management to improve quality of products and efficiency of manufacturing. This project focuses on the increase of customer satisfaction and savings by eliminating product defects and reducing scraps and non value added activities of the mechanical manufacturing stream. The authors implemented the DMAIC problem solving method applying different quality management and lean tools. The paper shows a complete roadmap in order to analyze and eliminate defect and waste causes, and improve the performance level of a manufacturing system. The obtained results highlight a reduction of Costs of Poor Quality by 20% and an increase of process cycle efficiency of 6%.Copyright © 2008 by ASME

6 citations

Journal ArticleDOI
TL;DR: This paper conducted a literature review to identify the use of PLS-SEM in measuring the impact of Lean Six Sigma (LSS) philosophy on sustainability and found that LSS practices positively impact 83% of economic indicators, 78% of environmental indicators, and 70% of social indicators.
Abstract: The Lean Six Sigma (LSS) philosophy and sustainability have become topics of interest since the 1990s; they have generally been analyzed together since 2012. Numerous professionals, managers, and researchers have sought methodologies by which to assess their impact and know their effectiveness within companies. During the past decade, the application of partial least squares structural equation modeling (PLS-SEM) has been widely accepted in various modeling, prediction, or multivariate analyses as a way to measure the impact of LSS on sustainability. This study conducts a literature review to identify the use of PLS-SEM in measuring the impact of LSS on sustainability. A systematic review methodology has been employed, applying five search criteria to three scientific database platforms. This approach has been helpful to identify PLS-SEM as a valuable methodology for measuring the impact of LSS on sustainability. One of the research findings is that LSS practices positively impact 83% of economic indicators, 78% of environmental indicators, and 70% of social indicators. This article creates a theoretical foundation for future research on these issues, outlining research opportunities to generate future studies. It also allows researchers and managers who are interested in improving sustainability indicators to access valuable knowledge regarding what types of LSS tools could be used.

6 citations


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