Reduction of Yarn Packing Defects Using Six Sigma Methods: A Case Study

Mukhopadhyay, Arup Ranjan; Ray, Sourya

doi:10.1080/08982110600567533

Cited by 18 publications

(13 citation statements)

References 2 publications

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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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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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“…is improvement methodology can be applied to every type of process to eliminate the root cause of defects [31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49] and minimize reworks [50].…”

Section: Introductionmentioning

confidence: 99%

In-Depth Analysis and Defect Reduction for Ethiopian Cotton Spinning Industry Based on TQM Approach

Ahmmed

Ayele

2020

Journal of Engineering

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Competition is truly global. Higher product quality is required for a company to become more competitive both locally and in international markets. Any textile company basically competes on its reputation for quality, reliability, and capability of processes and costs of quality and delivery. Currently, most of textile industries in Ethiopia are suffering from quality-related problems due to high process variations. ese problems include poor performance of manufacturing products in the export market, insufficient qualitative raw material supply, customer dissatisfaction, low productivity, and poor utilization of the resources. ese problems led to the manufacturing of low-quality products with a high cost, and because of this, most of the Ethiopian textile companies in the country are not competitive and profitable. e main objective of this study is to examine the existing traditional models of quality and to introduce an improved and emerged quality measuring system based on a methodological approach by using six sigma total quality management tools and analyzed by STATA 14.0 software. e analytical findings show that the application of total quality management (TQM) programs, tools, and techniques has been expanded beyond the traditional quality concepts and has improved the acceptable quality level of the product by 57.96% with a low cost.

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“…It is followed by shorter cycle times, saved production costs, reduction of waste and inventory levels and improved customer satisfaction. As a result, successful companies enjoy growing market share and newly created production capacity [1,2,4,12,13].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Researchers agree, that this is only possible through communication, alignment and commitment within the whole organization. The frameworks used in food sector extensively use statistical tools, as producers gather large amounts of data, but have no analysis tools or protocols [1,2,4,12,13].…”

Section: Literature Reviewmentioning

confidence: 99%

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Eliminating Contamination Issues in Manufacturing of Nutritional Products Using Six Sigma Approach

Krotov

Mathrani

2017

JIEMS

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The industry of nutritional products and premixes does not forgive poor quality. It is crucial manufacturers get product right the first time. However, the quality in this industry is always under threat of contamination issues with out-of-specifications and foreign matter impurity being always on the radar of quality control. Six Sigma approach is renowned for improving quality through eliminating variation. It focuses on critical processes that affect the quality for internal and external customer. This paper aims to describe the journey of improving the quality management through development and application of Six Sigma framework using carefully selected tools, specifically tailored for medium-sized food manufacturing business in Auckland, New Zealand. This facility is experiencing contamination issues in their products due to nonconformance with the standard specifications on ingredient quantity or presence of foreign matter within the end product. Defective products have caused a spike in late deliveries and rejections, spoiling the long-earned reputation amongst loyal customers. A framework is developed that embodies Six Sigma methods Define, Measure, Analyze, Control and Improve for food manufacturing business. Using this framework, the study achieves the optimization in loading, mixing and blending processes as well as product packaging. The results describe the improvement in meeting Journal of Industrial Engineering and Management Science, Vol. 1, 225-240. doi: 10.13052/jiems2446-1822.2017 This is an Open Access publication. c 2017 the Author(s). All rights reserved. M. Krotov and S. Mathranimanufacturing standards, on-time deliveries and reduction of rework and waste. This research provides direction to other small-medium-sized food manufacturing companies in enhancing quality management through eliminating variation in the production processes by effectively adopting the Six Sigma framework.

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Reduction of Yarn Packing Defects Using Six Sigma Methods: A Case Study

Cited by 18 publications

References 2 publications

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

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

In-Depth Analysis and Defect Reduction for Ethiopian Cotton Spinning Industry Based on TQM Approach

Eliminating Contamination Issues in Manufacturing of Nutritional Products Using Six Sigma Approach

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