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Title: "MINIMIZE DEFECTS OF PRODUCTS TO IMPROVE QUALITY" BY STATISTICAL QUALITY CONTROL TOOLS IN GARMENT (Case study: SHINTS ETP Garment Plc.)
Authors: Negash Lemma
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Negash Lemma MSc in Industrial Engineering, Post Graduate Program in Mechanical Engineering, School of Mechanical and Industrial Engineering, Addis Ababa Institute of Technology, Addis Ababa University
MLA 8 Lemma, Negash. ""MINIMIZE DEFECTS OF PRODUCTS TO IMPROVE QUALITY" BY STATISTICAL QUALITY CONTROL TOOLS IN GARMENT." IJETSI, vol. 5, no. 6, Nov.-Dec. 2019, pp. 297-311, ijetsi.org/more2019.php?id=24. Accessed Nov.-Dec. 2019. APA Lemma, N. (2019, November/December). "MINIMIZE DEFECTS OF PRODUCTS TO IMPROVE QUALITY" BY STATISTICAL QUALITY CONTROL TOOLS IN GARMENT. IJETSI, 5(6), 297-311. Retrieved from ijetsi.org/more2019.php?id=24 Chicago Lemma, Negash. ""MINIMIZE DEFECTS OF PRODUCTS TO IMPROVE QUALITY" BY STATISTICAL QUALITY CONTROL TOOLS IN GARMENT." IJETSI 5, no. 6 (November/December 2019), 297-311. Accessed November/December, 2019. ijetsi.org/more2019.php?id=24.
References [1]. Dr Daniel, K. (2009). Industrial Management and Engineering Economy an Introduction to Industrial Engineering :Addis Ababa University Press [2]. Gopal, K. (2002). Fundamentals Of Total Quality Management Process Analysis And Improvement:Taylor & Francis. [3]. Kalayu. G. (2014). "Development of the system for qualitative prediction of garments appearance quality", International Journal of Clothing Science and Technology, Vol. 14 No. 3/4, pp. 169-180. [4]. Mazedul. Gr.(2015). "Modeling of quality control approaches in textile industry", International Journal of Quality & Reliability Management, Vol. 17 No. 4/5, pp. 442- 452. [5]. www.orgstatistical.quality [6]. www.pro.defects. [7]. Marilyn K. Hart, Ph.D.& Robert F. Hart, Ph.D. Introduction to STATISTICAL PROCESS CONTROL TECHNIQUES books page 9 education lecture note [8]. Adedeji B. Bandiru and Babatunde J. Ayeni, 1993, London, Practitioner’s Guide to Quality and Process Improvement, Chapman & Hall
Abstract: This paper work makes an assessment on quality related problems in SHINTS garment industries in order to develop an applicable quality improvement tools, so that the performance of sewing section will be improve. Primary and secondary data will used to collect the raw data and analyze to identify quality- related problems of the sector using interviews, personal observations and review of previous research works. The problems identified in each production department will manipulate using Pareto chart, fishbone diagram and control chart and the solution will propose for the problems stated. Finally base on the propose solution and discussion from the case analysis, the conclusion and recommendation will give.

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