MATEC Web Conf.
Volume 94, 2017The 4th International Conference on Computing and Solutions in Manufacturing Engineering 2016 – CoSME’16
|Number of page(s)||9|
|Section||Quality Engineering and Reliability|
|Published online||04 January 2017|
Quantification of the quality problems in the construction machinery production
1 Institute of Production Engineering, Faculty of Management, Częstochowa University of Technology, Poland
2 Department of Strength of Materials, Concrete Structures and Bridges, Faculty of Civil Engineering and Architecture, Kielce University of Technology, Poland
* Corresponding author: firstname.lastname@example.org
Paper presents results of the research findings on the quality problems analysis conducted in the chosen enterprise producing a machinery for the construction industry. The aim of the study was to identify the causes and consequences of the quality problems in the production by using selected methods and tools of the quality management, as well as to identify opportunities to minimize the existing risks in the production process. The results show that approximately 77% of production losses are caused by incompatibilities resulting from two quality problems caused by employee errors and the low quality level of supplied screw taps. The results of the study indicate the corrective measures that may be taken in the company in order to eliminate and reduce identified production problems contributing to the production of machines that do not meet building standards.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.