| Issue |
MATEC Web Conf.
Volume 290, 2019
9th International Conference on Manufacturing Science and Education – MSE 2019 “Trends in New Industrial Revolution”
|
|
|---|---|---|
| Article Number | 07007 | |
| Number of page(s) | 9 | |
| Section | Management and Economic Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201929007007 | |
| Published online | 21 August 2019 | |
Best Practices to Increase Manufacturing Productivity - Comparative study
1 University of Oradea, Engineering and Management Department, Romania
2 University of Oradea, Industrial Engineering Department, Romania
* Corresponding author: cosmin.gherghea@csud.oradea.ro
Nowadays, manufacturing companies are involved in a big competition, each of them looking to increase productivity and profit by implementing best practices within the company. The present paper presents an analysis of best practices of manufacturing companies which contributes to increasing and improving the productivity, and also have been identified new trends regarding best practices implemented in manufacturing companies. In order to accomplish this research, has been analyzed a successful manufacturing company in the field of manufacturing and automation from Romania. To collect data for this study there were accessed two databases, different specialized websites in the field, but the most important source of information was obtained from the analyzed company. One of the best practices identified in this study was to improve the productivity through re-engineering, practice that the company studied has implemented. In order to highlight this good practice, namely reengineering, were analyzed in parallel both of existing manufacturing types from the analyzed company, respectively production on CNC processing centers and classical production. The exemplification of both types of productions was done by using a Lean Manufacturing method, namely Value Stream Mapping, identifying the operational flow of both types of production.
© 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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