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Statistical Quality Control in Cable Industry Case Study: Copper Consumption Reduction in Nexans IKO Sweden
University of Borås, School of Engineering.
University of Borås, School of Engineering.
2009 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

This thesis was carried out at the Special Cables group in the Nexans IKO Sweden AB in Grimsås, The company is a worldwide leader in the cable industry, offers an extensive range of cables and cabling systems. The aim with this thesis is to increase mean average of the electrical resistance in cables and accordingly saving the copper as the raw material. In order to achieve such significance the project offers an approach to find and eliminate causes of variation in a manufacturing process. In the beginning, some germane literature for the area was studied to get a deeper understanding of the problem. Some of the literature is summarized in the theory chapter of the thesis. The process was then defined and mapped out. Sources of variation were also chosen, in this case facts inside different machines. Some statistical analysis was accomplished later in the process by applying the theoretical background in the light of the reality of company. Gage R&R was also performed to examine the measurement system in Nexans IKO Sweden. The study concludes with recommendations for Nexans on five areas for implementation; Tracking and recording data, Optimization of the bunching process, Reach to the state of statistical control, More focus on suppliers, Prevention of over adjustment and main activities within these areas are defined. Finally management commitment is introduced as the most important factor for future success.

Place, publisher, year, edition, pages
University of Borås/School of Engineering , 2009.
Series
Magisteruppsats
Keywords [en]
statistical quality control, quality management, six sigma, cable industry, nexans iko sweden
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hb:diva-19587Local ID: 2320/5497OAI: oai:DiVA.org:hb-19587DiVA, id: diva2:1311521
Available from: 2019-04-30 Created: 2019-04-30

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CiteExportLink to record
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Citation style
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