Application of Lean Six Sigma for yield improvement in the stainless steel industry: a recipe from Türkiye

Turna, Gülçin Bilgin

doi:10.1108/ijlss-02-2022-0049

Cited by 3 publications

(3 citation statements)

References 58 publications

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“…It was proved that these methodologies have an essential role in process improvement (Escobar et al, 2022;Uluskan and Kars ı, 2022). DMAIC refers to the methodology steps (define, measure, analyze, improve and control) for process improvement (Ahmed et al, 2023;Bilgin Turna, 2023;Liu et al, 2023). Gross et al (2019) conducted a systematic literature review on the BPIMs literature.…”

Section: Introductionmentioning

confidence: 99%

“…6σ uses the DMAIC methodology for process improvement (Adrita et al , 2021). DMAIC is a methodology used for improvement projects with 6σ (Ahmed et al , 2023; Liu et al , 2023; Purushothaman and Ahmad, 2022; Ren et al , 2022; Uluskan and Karşı, 2022) and Lean Six Sigma (LSS) (Bilgin Turna, 2023; Kaswan et al , 2023; Rathi et al , 2022; Singh et al , 2023; Şişman, 2022; Trubetskaya et al , 2023). However, DMAIC method can be used as a standalone methodology (Rodriguez Delgadillo et al , 2022; Tufail et al , 2022).…”

Section: Introductionmentioning

confidence: 99%

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Developing an enhanced business process improvement methodology (EBPIM)

Ubaid,

Dweiri

2023

IJLSS

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Purpose This research paper aims to develop and validate an enhanced business process improvement methodology (EBPIM) by integrating the DMAIC (define, measure, analyze, improve and control) and the comprehensive business process management (CBPM) methodologies. Design/methodology/approach A systematic literature review and analysis were conducted to prove the novelty of the research approach and identify the similarities, differences, strengths and weaknesses of the DMAIC and the CBPM methodologies. The EBPIM was proposed based on the analysis results. Then, a focus group approach was used to evaluate and validate the methodology. Findings The EBPIM consists of nine activities: preparation, selection, description, quantification, modeling, enactment, improvement opportunities selection, analysis and improvement and monitoring. The proposed methodology adopted the systematic and structured process of the DMAIC methodology by having one tollgate between every two activities to check the progress and authorize the team to go to the next activity. At the same time, it has the ability of the CBPM methodology to enhance the interaction between human activities and business process management systems (BPMS). Research limitations/implications The EBPIM was evaluated and validated by a focus group of academic professors. However, the main limitation of the proposed methodology is that it is still theoretical and needs to be empirically tested. Therefore, future work will focus on testing the EBPIM in different industries and organization sizes. Practical implications From the theoretical perspective, the proposed methodology adds value to the knowledge in the scope of business processes improvement methodologies (BPIMs) by integrating the DMAIC and the CBPM methodologies. It takes advantage of and combines the strengths of the DMAIC and CBPM methodologies. From the practical perspective, the proposed methodology presents a valuable tool that can facilitate the organization’s mission to improve the areas that need improvement using a systematic improvement methodology that will effectively enhance organizational performance (OP). Originality/value The BPIMs literature analysis proved that most of the reviewed methodologies could not support all phases of the business process improvement (BPI) activities. It was concluded that integrating the DMAIC and the CBPM methodologies is a novel approach. The proposed methodology will enhance the efficiency of both methodologies, fill the gaps that may exist in both of them and lead to better results in terms of BPI.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Developing an enhanced business process improvement methodology (EBPIM)

Ubaid,

Dweiri

2023

IJLSS

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“…The six-sigma improvement method was initiated by Motorola in 1986 [1][2][3][4]. The sixsigma DMAIC process means that the industry follows (1) define, (2) measure, (3) analyze, (4) improve, and (5) control to make improvements on the workflow of process quality [5][6][7]. The six-sigma method has been actively promoted by numerous companies, including General Electric Company in America, American Ford Motor Company in America, and Asustek Computer Incorporation in Taiwan.…”

Section: Introductionmentioning

confidence: 99%

Construct the Optimum Process Model for Transistor Gaskets with Six-Sigma DMAIC

Chen

et al. 2023

Applied Sciences

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The improvement process of six-sigma DMAIC refers to the process that the industry performs to enhance process quality via the following five procedures: (1) define, (2) measure, (3) analyze, (4) improve, and (5) control. It is a common tool used in the industry to ameliorate and enhance process quality. In addition, the process capability index is a tool that the industry most frequently uses to measure process quality. Though many studies have discussed six-sigma methods, none of the specific theoretical models could be provided as a reference for the above five DMAIC improvement steps, making it difficult to control the effect. In order to solve this problem, this paper developed the multi-characteristic process capability analysis chart, MPCAC, using the process capability index and applied the method of statistical inference as a tool promoting define, measure, and analyze in the improvement process of six-sigma DMAIC. Additionally, the testing of the orthogonal table in the Taguchi method can efficiently assist process engineers in finding the optimum combination of machining parameters to improve or boost the process quality level of the quality characteristics by reducing the number and the cost of experiments. Therefore, this paper then adopted the testing of the orthogonal table in the Taguchi method as a tool for process improvement in the fourth step. Finally, according to the optimal combination of machining parameters improved in the fourth step, a standard operating procedure for transistor gaskets was established as a tool for process control in the fifth step.

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Achieving tractable and reliable agriculture supply chain operations through Industry 4.0 tools to support Lean Six Sigma application

Yeni,

Gürsoy Yılmaz,

Kayhan

et al. 2024

IJIEOM

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PurposeThis study aims to address challenges related to long lead time within a hazelnut company, primarily attributed to product quality issues. The purpose is to propose an integrated lean-based methodology incorporating a continuous improvement cycle, drawing on Lean Six Sigma (LSS) and Industry 4.0 applications.Design/methodology/approachThe research adopts a systematic approach, commencing with a current state analysis using VSM and fishbone analysis to identify underlying problems causing long lead time. A Pareto analysis categorizes these problems, distinguishing between supplier-related issues and deficiencies in lean applications. Lean tools are initially implemented, followed by a future state VSM. Supplier-related issues are then addressed, employing root cause analyses and Industry 4.0-based countermeasures, including a proposed supplier selection model.FindingsThe study reveals that, despite initial lean implementations, lead times remain high. Addressing supplier-related issues, particularly through the proposed supplier selection model, significantly reduces the number of suppliers and contributes to lead time reduction. Industry 4.0-based countermeasures ensure traceability and strengthen supplier relationships.Originality/valueThis research introduces a comprehensive LSS methodology, practically demonstrating the application of various tools and providing managerial insights for practitioners and policymakers. The study contributes theoretically by addressing challenges comprehensively, practically by showcasing tool applications and managerially by offering guidance for system performance enhancement.

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Application of Lean Six Sigma for yield improvement in the stainless steel industry: a recipe from Türkiye

Cited by 3 publications

References 58 publications

Developing an enhanced business process improvement methodology (EBPIM)

Developing an enhanced business process improvement methodology (EBPIM)

Construct the Optimum Process Model for Transistor Gaskets with Six-Sigma DMAIC

Achieving tractable and reliable agriculture supply chain operations through Industry 4.0 tools to support Lean Six Sigma application

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