Methods and techniques for evaluating the productivity of production processes in the automotive industry

6th ModTech International Conference - Modern Technologies in Industrial Engineering

Kowalski, A.^1 ; Królikowski, S.^1 ; Szafer, P.^2

Wroclaw University of Science and Technology, Faculty of Mechanical Engineering, 27 Wybrzeze Wyspiaskiego St., Wroclaw

50-370, Poland^1

WSB School of Banking, Faculty of Finance and Banking, 5 Powstaców Wielkopolskich St., Pozna

61-895, Poland^2

关键词: Comparative analysis;    Comparative efficiencies;    Defective products;    Production changes;    Production manager;    Production process;    Productivity assessment;    Streamlining production process;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/400/6/062017/pdf
DOI  :  10.1088/1757-899X/400/6/062017

来源: IOP

【 摘 要 】

The main purpose of the article is to present methods of evaluation of the production process in the automotive industry. Various methods and techniques for assessing productivity are used for this purpose. Productivity assessment is most often performed to perform a comparative efficiency analysis between different production lines. The second often encountered the reason for determining productivity is the need to assess reorganization activities eliminating waste. Calculation of productivity indicators in the automotive industry is based on data obtained from production reports for specific production periods, for individual machines, assembly lines, for individual production changes, for individual products, frequency of failures, downtimes, number of events consisting in the lack of components on individual lines or the frequency of occurrence of defective products. The information obtained from the above comparative analyses provides valuable information on the state of production. On the basis of this information, production managers are able to select the best and worst functioning production department, production line or production change. This allows you to identify potential system errors that can be eliminated. In the summary, the authors emphasize the usefulness of simulation models while streamlining production processes, as a complement to improvements achieved with the Lean Management tools.