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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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Journal ArticleDOI
TL;DR: A questionnaire-based survey has been done in which the voice of Indian SMEs has been captured regarding the successful implementation of Lean Six Sigma in their organisation as a waste management technique as mentioned in this paper.
Abstract: This article focuses on the impact of individual factors of Lean Six Sigma in manufacturing-based small and medium enterprises (SMEs) in India. So that main emphasis can be given to majorly contributing factors during implementation of Lean Six Sigma in manufacturing SMEs. A questionnaire-based survey has been done in which the voice of Indian SMEs has been captured regarding the successful implementation of Lean Six Sigma in their organisation as a waste management technique. Study has been conducted in two phases. In first phase, survey based upon 28 questions has been conducted, afterwards in second phase process capability test has been done on considered responses. In first phase with factor analysis it has been concluded that 28 factors listed in the questionnaire (Annexure 1) can be further reduced to four major parameters in which similar kind of factors are grouped together. These major four parameters contributing towards the success of Lean Six Sigma in manufacturing SMEs. Second phase of this study process capability of various phases of Lean Six Sigma has been checked through CPk. Those phases having CPk value less than 0.5 can be neglected as those phases are not contributing significantly towards the successful implementation of LSS.

14 citations

Journal ArticleDOI
TL;DR: Lean six sigma tools are most effective tool to find out various defects and gives feasible solution to overcome it, and as a result of rejection data analysis it can be found that sand drop is major defect to increase rejection.

14 citations

Journal Article
TL;DR: In this article, the authors investigated the implementation of Lean Six Sigma by means of an empirical case study in food distribution SMEs in Saudi Arabia, and the case study indicated that a combination of the strengths of each approach could bring about considerable performance improvements in SMEs.
Abstract: . Across the world service industry organisations including SMEs have been facing unprecedented challenges in delivering best quality products at low costs and fast delivery speeds. Lean and Six Sigma are increasingly used as practical methodologies to improve delivery and quality and to reduce operational costs, to thereby enhance business competitiveness. This study aims to investigate the implementation of Lean Six Sigma by means of an empirical case study in food distribution SMEs in Saudi Arabia. Suitable statistical tools have been applied in each phase of the DMAIC cycle. The case study indicated that a combination of the strengths of each approach could bring about considerable performance improvements in SMEs.Keywords: Lean, Six Sigma, Lean Six Sigma, SMEs, Food distribution.1 INTRODUCTIONFor service industry businesses to succeed and prosper, it is essential for them to stay ahead of the competition and to respond to market changes rapidly. Nowadays SMEs face even greater challenges because they have to compete in the global economy. SMEs have been forced to respond more quickly in this new economic climate and to become more flexible operationally, tactically and strategically. The ever-increasing competitions in the current challenging business environment have meant that companies have to enhance their supply chain performance. This has resulted in supply chain management becoming a significant way for companies to achieve a competitive advantage. Food distribution firms provide the link between food manufacturers and end consumers. Important activities of a food distribution firm include procurement, inventory, warehousing, order processing, and customer service (Nabhani and Shokri, 2009).During the second half of the Twentieth Century, Lean and Six Sigma were the two most important structured process improvement methodologies. They each evolved separately; Lean concentrates on process speed and eliminating waste, and Six Sigma, like its forerunner TQM, aims to eliminate process variation which leads to defects. When the two methodologies are combined the results will be superior to the outcomes that would result from either one alone. The integrated approach is superior to earlier ones because it integrates the process elements and the human elements of process improvement. Lean concentrates on improving process speed and removing waste, while Six Sigma concentrates on eliminating the process variation which results in defects. 'Lean Six Sigma' combines Lean and Six Sigma to offer the best of both systems.The subject of this case study is a food distribution SME. The company faces many problems and difficulties in the process of delivering food, two of the most prominent being delays in the delivery of orders and low levels of quality, leading to customer dissatisfaction with the service provided. Customers have made negative observations and complaints, suggesting the potential for financial losses due to loss of customers. Prior to starting this Lean Six Sigma project to improve the quality of service at the company, the total cost of late deliveries was calculated, to justify the running of the project. This paper will address these issues, aiming to investigate the implementation of Lean Six Sigma by integrating some of its principles by means of a case study in food distribution SMEs.2 THE NEED TO INTEGRATE LEAN AND SIX SIGMALean six sigma is a methodology which strives to achieve maximum shareholder value by rapidly improving customer satisfaction, quality, and process speed and flexibility as well as reducing cost and increasing bottom-line savings (George, 2002; Shamou and Arunachalam, 2009; Snee, 2010). Lean strategies play a significant part in eliminating waste and non-valueadded activities throughout the organisations, while Six Sigma statistical tools and techniques allow an organisation to reach a higher standard of process performance and capability (Antony, 2011; Kumar et al. …

14 citations

Journal ArticleDOI
TL;DR: In this paper, an adaptive neuro-fuzzy inference system (ANFIS) method was applied for the successful prediction of selected Green Lean Six Sigma (GLS) projects, and the results indicated that TRL as an important enabler of the GLS project has a meaningful role in the performance of GLS projects.
Abstract: Nowadays budget and schedule constraints have forced organizations to select six sigma projects based on pre-defined success criteria. Also, progressive approaches based on green and lean paradigm are vital for companies to enhance their social and environmental performance. Then, Green Lean Six Sigma (GLS) projects play the main role in improving the performance of an organization while augmenting its sustainability. Accordingly in this paper, past studies were reviewed, and GLS projects’ indicators and performance evaluation criteria were identified. Data envelopment analysis (DEA) was employed for the appropriate selection of GLS projects. Next, the ranking and performance weight of each project were investigated, and also the projects were categorized based on the technology readiness level (TRL). Additionally, an adaptive neuro-fuzzy inference system (ANFIS) method was applied for the successful prediction of selected GLS projects. Twenty-eight inputs and 9 outputs for the first project category (with TRL 9) and 28 inputs and 6 outputs for the second project category (with TRL 8) were entered into the model. The statistical assessment measures such as Nash–Sutcliffe efficiency (NSE), root mean squared of error (RMSE), mean absolute error (MAE), and R2 were employed for capability appraisal of ANFIS model. Results of NSE and R2 indicators for both project categories were 1.00 that proved the efficiency of the ANFIS model for success prediction of GLS projects. Also, RMSE and MAE indicators for category 1 were 0.01 and 0.02 respectively. Similarly, these measures for category 2 were 0.02 and 0.02. The results advocate a proper approximation for observed values by the ANFIS model. Also, the results indicated that TRL as an important enabler of the GLS project has a meaningful role in the performance of GLS projects.

14 citations

Book ChapterDOI
01 Jan 2014
TL;DR: In this paper, the role that information technology can play to facilitate business value and later value, in healthcare is discussed in the context of lean and Lean Six Sigma in healthcare and their link to business value of IT are discussed.
Abstract: With the rapid increase of healthcare expenditures and the parallel increase of doubts about the efficiency of current healthcare systems, due to increasing number of medical incidents and problems, decision- and policy-makers in healthcare industry have started looking for adopting new management practices and strategies to reduce costs and increase healthcare quality, in other words, maximizing the value and minimizing waste. Investing more on information technology has been one of these new strategies. At the same time, lean thinking and Lean Six Sigma promises have been appealing for healthcare, after achieving good results in different industries. However, due to its uniqueness, healthcare industry should have its own definition of “value” as it extends this concept beyond the operational level to cover sociotechnical aspects. Thus, the role that information technology can play to facilitate business value, and later value, in healthcare is discussed in this chapter. Also, lean and Lean Six Sigma in healthcare and their link to business value of IT are to be discussed, on a quest to draw a road map to better IT investments in healthcare to improve value generating in this industry.

14 citations


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