An Application of Pareto Analysis and Cause-Effect Diagram for Minimizing Defect Percentage in Sewing Section of a Garment Factory in Bangladesh

Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 6

Abstract

 As Readymade Garments sector is a large industrial sector in Bangladesh, quality improvement can play a vital role for improving productivity as well as economic development for the country. This paper represents a detail investigation on quality improvement of a garment factory by applying Pareto Analysis and Cause-Effect Diagram. The aim of this study is to minimize defects that will reduce rework and rejection rate. Our studied organization is “Rainbow Apparel Limited”. In this organization we worked in a particular section (i.e. sewing section) for a particular product (i.e. woven pants). Four months defect data has been collected from the management and Pareto Analysis is performed on them. From this analysis 6 top defect positions are identified where 78.56% defects occur. On those top positions further Pareto Analysis is performed to identify the top defect types. That resulted in total 115 concerning areas where 71.40% defects occur, which should be the major concerning areas to reduce defect percentage. So hierarchies of causes for individual defect types are organized and Cause-Effect Diagrams are constructed for those defect types. Then relative suggestions to those causes are also provided. In the end necessary clues and recommendations have been added for the advancement of the study.

Authors and Affiliations

Tanvir Ahmed

Keywords

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  • EP ID EP120892
  • DOI -
  • Views 103
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How To Cite

Tanvir Ahmed (2013). An Application of Pareto Analysis and Cause-Effect Diagram for Minimizing Defect Percentage in Sewing Section of a Garment Factory in Bangladesh. International Journal of Modern Engineering Research (IJMER), 3(6), 3700-3715. https://europub.co.uk/articles/-A-120892