MATEC Web Conf.
Volume 290, 20199th International Conference on Manufacturing Science and Education – MSE 2019 “Trends in New Industrial Revolution”
|Number of page(s)||8|
|Section||Management, Modelling and Monitoring of Manufacturing Processes|
|Published online||21 August 2019|
Monitoring the technological processes in the wood industry in order to make them more efficient through technical overhauling
1 Transilvania University of Braşov, B-dul Eroilor nr.29, 500036 Braşov, Romania
2 Department of Industrial Machines and Equipments, Lucian Blaga University of Sibiu, B-dul Victoriei 10, Sibiu, Romania
* Corresponding author: firstname.lastname@example.org
Of many techniques that are used to optimize production and costs, the studies conducted within a profile company lead to our choice for testing the 6Sigma method (the most used method in the automotive industry) in view of the economic efficiency applied in the wood Industry company. This method measures how many flaws exist in a process and determines in a systematic way how to improve it by technical overhauling and eliminating or minimizing the process for efficiency. This research article aims to study the state of research on the optimization of the production process through technical overhauling for panels reconstituted from solid wood and ways to make production more efficient by cutting costs through technical overhauling. From preliminary research, we estimate that all the items founded and others that will result from further research will result in a significant decrease in production costs that are reflected in the cost of the finished product and consequently in increasing the yield of the company by maximizing its profit. At the same time it may be the basis of future research studies in the field. The easier it is to maximize profits, the lower the operating costs are and the higher recovery rate of investments are, that will result a change in the operating mode: “working smarter not harder”.
© The Authors, published by EDP Sciences, 2019
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.
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