Data mining driven DMAIC framework for improving foundry quality – a case study

Ghosh, S. S.; Maiti, J.

doi:10.1080/09537287.2012.709642

Cited by 37 publications

(25 citation statements)

References 24 publications

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“…Similarly to the works of Zhang et al (2015), Vinodh et al (2014), Krueger et al (2014), Ghosh and Maiti (2014), Vinodh et al (2011), Chen andLyu (2009), Kumar et al (2006), the framework designed in this case followed the traditional DMAIC structure. However, the use of specific activities and tools, and their sequence, were explicitly defined for every DMAIC stage during the development of the framework when following the three design dimensions, see Figure 1.…”

Section: Figure 1 Lss Frameworkmentioning

confidence: 99%

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A Lean Six Sigma framework for the reduction of ship loading commercial time in the iron ore pelletising industry

Garza‐Reyes

Al-Balushi

Antony

et al. 2016

Production Planning & Control

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Evidence suggests that specifically designed frameworks to implement Lean Six Sigma (LSS) projects to tackle particular problems are more effective than "generic" versions. This paper proposes an implementation framework to effectively deploy LSS to improve a key operation and performance indicator, i.e. ship loading commercial time, of one of the largest world producer of iron ore. This article therefore contributes with a refined framework to effectively implement LSS, and documents its successful application and effectiveness within the context of the case organisation. The LSS framework and project contributed in helping the studied organisation to improve both the capability of its ship loading process and commercial time by more than 30 percent, resulting in operational savings in the range of $300,000 USD per year. The systematic nature of the framework proposed also helped the organisation to establish a standardise routine to improve its operations. Managerial implications exposing the challenges faced during the implementation of LSS are also discussed to serve as lessons learnt to be considered in other LSS projects. Managers and engineers in charge of improving operations and processes can benefit from this paper as it can be used as a guide to direct the conduction of LSS projects and the empirical application of its principles and tools.

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Section: Figure 1 Lss Frameworkmentioning

confidence: 99%

“…The Define phase aims to delineate the LSS project's team, scope, objectives, voice of customers, and process details (Ghosh and Maiti, 2014).…”

Section: The Define Phasementioning

confidence: 99%

A Lean Six Sigma framework for the reduction of ship loading commercial time in the iron ore pelletising industry

Garza‐Reyes

Al-Balushi

Antony

et al. 2016

Production Planning & Control

View full text Add to dashboard Cite

show abstract

“…Further to this, the DMAIC application is seen in various streams namely: reduction of defects in rubber gloves manufacturing process [43], improvement in shopfloor production quality by amending heat-treatment fixtures [44], reduction of cost of poor quality due to deviations in bearing fitment of cooling fan [45], reduction in rejection rate of cycle chain bush in a cycle chain manufacturing unit [46]. DMAIC framework is adopted for improving foundry quality [47]. Two decision tree algorithms namely, Classification and Regression Tree and Chi-squared Automatic Interaction Detection are adopted for reduction in casting defects.…”

Section: Dmaic Methodologymentioning

confidence: 99%

Quality Assurance through Process Improvement - A Concise Review

Sharma¹,

Rao²,

Babu

2016

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Abstract. The past two decades have seen the realization of the manufacturing firms towards quality consciousness. The various firms worldwide employed the statistical tools for minimizing the deviations and subsequently the number of rejects of the manufactured parts. In this process, more prominence is laid on prevention of defects rather than detecting and rejecting the defect in the usual traditional end inspection quality check. This review paper witnesses the procedures involved in the improvement of the manufacturing process capability and focuses on achieving quality assurance through sustained improvement in the manufacturing process. The different methodologies for sustained improvement in manufacturing process across varied industrial sectors, are identified, discussed and presented. The nuances of enhanced product quality levels through process capability improvement work performed in varied areas of industrial manufacturing are also captured.

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“…With the advent of Six Sigma since the 1980s, it has been widely recognised as the most effective methodology for obtaining a breakthrough improvement [2], i. e., is a process focussed program and aims to improve the process through systematic methodology [3]. In this way, the goal is to stop the defects before they appear and reduce quality costs by adopting a predictive rather a reactive approach toward rejection and rework [4].…”

Section: Introductionmentioning

confidence: 99%

Sigma Level Verification of a Thermoplastic Industry with the Support of DMAIC Method

Santos¹,

Amorim²,

Morais³

et al. 2015

MATEC Web of Conferences

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Abstract. This study aims to determine the sigma level of the production process of a thermoplastics industry with the implementation of DMAIC approach. To achieve this purpose it was conducted interviews to know the production system, analysing the non-conformities in the produced forks. It was found that the industry has a sigma level that is the reality of industries in general, however, this level still does not equal to what is presented by large industries. The paper contributed to the improvement of industrial quality control, and the proposed method it is being evaluated so that other improvements can be implemented.

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Data mining driven DMAIC framework for improving foundry quality – a case study

Cited by 37 publications

References 24 publications

A Lean Six Sigma framework for the reduction of ship loading commercial time in the iron ore pelletising industry

A Lean Six Sigma framework for the reduction of ship loading commercial time in the iron ore pelletising industry

Quality Assurance through Process Improvement - A Concise Review

Sigma Level Verification of a Thermoplastic Industry with the Support of DMAIC Method

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