Six Sigma application in small enterprise

Amitrano, Fernanda Gonçalves; Estorilio, Carla Cristina Amódio; Bessa, Ligia de Oliveira Franzosi; Hatakeyama, Kazuo

doi:10.1177/1063293x15594212

Cited by 10 publications

(3 citation statements)

References 11 publications

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“…Last is the control stage; the procedures and documentation of the quality improvement results must be analyzed for sustainability so the defect will be reduced consistently. Then the ownership or responsibility is transferred from the Six Sigma team, which signifies the Six Sigma project ends at this stage (Amitrano et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

Six Sigma as a Method for Controlling and Improving the Quality of Bed Series Products

Untoro

Iftadi

2020

JITI

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The research was conducted at PT. XYZ where there were defect problems in bed series products so that additional time is needed to repair a product. One way to make improvements and improve quality in a production process is the Six Sigma method with the stages of DMAIC. The results of the calculated average of DPMO values and Sigma Level have the result 58558.56 and 3.07 which are still not good because still far from 6 sigma. After that analyzing the root causes of defect product problems, then the priority problem is carried out using (RPN) where the highest value is at the assembly work station because the material that has been used up in the warehouse has an RPN of 405 so that it becomes a top priority for repairs. With the standardization and documentation, proposed improvements that have been given then the possible defects of Electric Lovina Bed 3 Motor will be reduced.

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Section: Methodsmentioning

confidence: 99%

Six Sigma as a Method for Controlling and Improving the Quality of Bed Series Products

Untoro

Iftadi

2020

JITI

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“…Several researches have applied the DMAIC method as structured procedure to solving manufacturing problems with multiple CTQs. Some manufacturing applications are summarized as follows: automotive [11]- [14], casting [15], direct selling [16], extrusion [17], iron ore [18], printed circuit boards [19], [20], textile [21], [22], touch panel [23], white goods [24], services [1], [25], [26] and education [27]. In addition to the aforementioned papers, the book ''World class application of Six Sigma: real world examples of success'', by Antony et al [28], brings other interesting manufacturing applications.…”

Section: Introductionmentioning

confidence: 99%

Integrating Multivariate Statistical Analysis Into Six Sigma DMAIC Projects: A Case Study on AISI 52100 Hardened Steel Turning

et al. 2020

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DMAIC (define, measure, analyze, improve and control) is one of the most utilized methods for guiding practitioners in the decision-making process of quality improvement projects. Industrial processes commonly deal with multiple critical-to-quality (CTQ) characteristics. When these characteristics are correlated, multivariate statistical techniques should be applied. This paper aims to propose a domainspecific Six Sigma method, the MDMAIC (multivariate DMAIC). The new stepwise procedure helps practitioners not only to reduce problem dimension but also to take account of the correlation structure among CTQs during the decision-making process. Principal component analysis has been applied for assessing the measurement system, analyzing process stability and capability, as well as modeling and optimizing multivariate manufacturing processes. A hardened steel turning case has been presented for proposal validation. The result analysis has shown that the MDMAIC was very successful in leading the practitioner during the steps and phases of the quality improvement project. The multivariate capability index of the enhanced process emphasized the substantial economic improvement. INDEX TERMS Six sigma, dmaic, quality improvement, principal component analysis, multiobjective optimization.

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“…Since PD is a nonlinear (Kline, 1985; Nightingale, 2000) and dynamic system process (Huang and Gu, 2006), it is hard to determine what value is added—especially in LDP, where design changes constantly happen in the first phases of a PD. In the PDP context, this also involves design, production planning, and manufacturing (Amitrano et al, 2015), typically leading to lots of change and rework (Mihm et al, 2002), while seeking for a high leanness level and there are more opportunities for competitive advantages in PDP than in any other department or area of industrial companies (Mendes and de Toledo, 2015; Morgan, 2002; Toledo et al, 2008). A leanness level is defined by Vinodh and Chintha (2011) as a performance measure of lean operation.…”

Section: Introductionmentioning

confidence: 99%

A roadmap for a leanness company to emerge as a true lean organization

Silvério

Trabasso

Pessôa

2019

Concurrent Engineering

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The problem this work aims to solve is the improvement of the leanness level of a company jeopardized by the lack of lean engagement. The objectives of the research are to present a method based on a lean self-assessment approach, consisted of a qualitative self-assessment method based on lean elements that drives an index definition associated with a roadmap. The method consists in providing a roadmap for the assessed enterprise composed by the company’s lean index, recommendations and countermeasures deriving from Delphi and Kendall Coefficient of Concordance ( W) application among lean experts, leading the assessed enterprise to achieve results in terms of lean engagement, autonomy, and decision support criteria for future resource allocation. The results demonstrated that method can highlight gaps where additional improvements and investments would be necessary in the assessed enterprise. Finally, the study concludes that the lean performance identification associated to a lean roadmap in a company can be a highly effective tool to improve lean adoption in a leanness organization.

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Six Sigma application in small enterprise

Cited by 10 publications

References 11 publications

Six Sigma as a Method for Controlling and Improving the Quality of Bed Series Products

Six Sigma as a Method for Controlling and Improving the Quality of Bed Series Products

Integrating Multivariate Statistical Analysis Into Six Sigma DMAIC Projects: A Case Study on AISI 52100 Hardened Steel Turning

A roadmap for a leanness company to emerge as a true lean organization

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