Production quality improvement analysis of grey cambric using Six Sigma Method

Shafira, Yosa Permata; Mansur, Agus

doi:10.1051/matecconf/201815401090

Cited by 3 publications

(4 citation statements)

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“…Previous literature reviews can be discussed due to the similarities with this study. Six Sigma is a method for reducing product variance and increasing productivity (Shafira & Mansur, 2018b). This DMAIC method is a manufacturing business process strategy that can be used by various companies, one of which is to increase customer satisfaction (Syafwiratama et al, 2017).…”

Section: Discussion With Previous Researchmentioning

confidence: 99%

“…The DMAIC approach and the DoE method can reduce non-conforming polyester bypass fibers in Indonesia (Syafwiratama et al, 2017). The measurement results obtained that the average sigma level is 3.32, and the sigma level included in Sigma three will cause a 25-40% (Shafira & Mansur, 2018a). The waste weight of defective products is 26.25%, the waiting time for waste is 16.02%, the DPMO value is 2,150, and the sigma value is 4.36 (Nurprihatin et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Implementation of the Dmaic Approach for Quality Improvement at the Elastic Tape Industry

2022

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The scope of this research is in one of the textile industries with elastic tape produced on the weaving machine, which has decreased production due to production defects that do not meet the target. This research aims to determine the leading causes of dominant defects, increase the sigma level with Six Sigma methods, and propose improvements to be included in the Key Performance Indicators (KPI) method. The results of this study that the dominant factor causing the defect is the curved elastic tape defect, which consists of the machine factor, and the method. Factors driving the machine include the hook like a side thread lock that is often bent and the difference in the thickness of the tape between the left, middle and right. The causative factor of this method is checking the thickness of the elastic band only in the center position. The results of corrective actions impact increasing the sigma level by 10% from 3.3339 to 3.6832. In contrast, repair defects can reduce defects before repair by 18.92% and after repair by 9.23%. It is proposed to be included in the KPI so that the weaving department can control and be enthusiastic about continuous improvement.

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Section: Discussion With Previous Researchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Implementation of the Dmaic Approach for Quality Improvement at the Elastic Tape Industry

2022

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“…Một số nghiên cứu khác cũng chứng tỏ việc ứng dụng Lean Six Sigma dựa trên chu trình DMAIC có thể nâng cao chất lượng sản phẩm một cách đáng kể trong ngành may [23], [24], [25], [26], [27], [28], [29].…”

Section: Các Nghiên Cứu Trước đâYunclassified

Triển khai DMAIC nâng cao chất lượng sản phẩm trong ngành May mặc: Trường hợp nghiên cứu

Phạm,

Từ,

Võ

2024

JST

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Nghiên cứu là trình bày việc ứng dụng Lean Six Sigma để giảm tỷ lệ lỗi của sảnphẩm quần Jean trong một công ty may mặc tại Việt Nam. Phương pháp thực hiện dựa trên tiến trình DMAIC bao gồm 5 bước: Xác định vấn đề, Đo lường, Phân tích, Cải tiến và Kiểm soát. Ngoài ra, nghiên cứu còn sử dụng các công cụ khác như mô hình SIPOC, biểu đồ Pareto, biểu đồ xương cá và biểu đồ kiểm soát để đưa ra các giải pháp nâng cao chất lượng nhà máy. Sau 1 tháng thực hiện, kết quả nghiên cứu cho thấy việc ứng dụng các công cụ Quản lý chất lượng dựa trên tiến trình DMAIC đã giảm tỷ lệ lỗi từ 4.40% xuống 1.06%

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“…Thawkar et al adopted the FMEA approach to the analysis of machine failures in developing a reliability centered maintenance methodology to improve card usability in the textile industry [37]. Shafira and Mansur used the FMEA AHP hybrid method in the production quality improvement analysis of gray cambric using the six sigma approach and determined the most critical failures based on RPNs [38]. Similar to the previous study, Purnama et al carried out a risk analysis study by applying fuzzy AHP and FMEA methods within the scope of the six sigma project [39].…”

Section: Literature Reviewmentioning

confidence: 99%

Creating proactive behavior for the risk assessment by considering expert evaluation: a case of textile manufacturing plant

Karaşan

Erdoğan

2021

Complex Intell. Syst.

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Applying risk assessment approaches to improve quality in enterprises is of great importance especially for sectors that are labor-intensive and thus frequently encountered failures. One of the methods frequently used to take precautions against failures caused by high variability in this type of sector is failure mode and effects analysis (FMEA). In this study, a hybrid FMEA approach is proposed so as to take measures against failures in the textile sector where there are high-quality differences due to its structure and failures frequently occurred. Since the different combinations of risk parameters’ scores may produce the same risk degree based on the function of the FMEA’s basis, misleading results for the risk analysis in the practical risk management can be occurred. Moreover, the risk priority number (RPN) function has a limitation in the weight determining process, since it assigns the equal weight for each risk parameter in the classical FMEA. To overcome these shortcomings in the RPN calculation for the risks in the FMEA approach, a multi-criteria decision-making (MCDM) approach is applied under the framework of fuzzy logic. Through that, in this study, we aimed to prove an expert system based on the rules that specifically focusing on the risk sources of the woven fabric industry. To create such a rule-based system, inputs are generated using fuzzy AHP and modified fuzzy TOPSIS. A case study is carried out with the method proposed in a textile mill, and it is determined which risks arising from failures are higher. For the validation of the results, a comparative analysis is conducted. Moreover, for the robustness of the decisions, one-at-a-time sensitivity analysis with respect to different scenarios are applied. As a result of the analyses, it is shown that our proposed model can be used as an efficient proactive risk calculator for the managers or researchers to make useful inferences, judgments, and decisions of the production processes for eliminating the shortcomings of the traditional FMEA.

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Production quality improvement analysis of grey cambric using Six Sigma Method

Cited by 3 publications

References 4 publications

Implementation of the Dmaic Approach for Quality Improvement at the Elastic Tape Industry

Implementation of the Dmaic Approach for Quality Improvement at the Elastic Tape Industry

Triển khai DMAIC nâng cao chất lượng sản phẩm trong ngành May mặc: Trường hợp nghiên cứu

Creating proactive behavior for the risk assessment by considering expert evaluation: a case of textile manufacturing plant

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