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EN
Purpose: The aim of the presented investigations was to explore the possibilities of the effective use of the 8D method to improve the merchandise distribution processes. Design/methodology/approach: The application of the 8D method involved the use of support tools, such as 5Why or ABC. These tools helped to identify and categorize problems involved in the distribution of goods. Next, major problems and their causes were identified. The 8D method enabled establishing improvement, corrective and remedial actions. The last stage of the analysis was verifying the effectiveness of the implemented actions, which proved that the application of the 8D method to improve distribution processes was justified. Findings: The 8D method turned out to be an effective tool for solving problems identified in the distribution process, which proves its effective transfer from the automotive industry. Research limitations/implications: The correct use of the 8D method, which guarantees obtaining reliable and useful results, is only possible if an interdisciplinary research team is appointed. Such a team should consist of a leader and specialists from organizational units responsible for the process correctness. Small and medium-size companies may have insufficient resources to conduct investigations and analyses in a proper way. Practical implications: The discussed case study proves that it is possible to use advanced management methods in the company. Creating an efficient and experienced team should result in developing an effective mechanism for identifying the causes and solving problems in the company’s logistic processes. Originality/value: An original solution is implementation of the 8D method from the automotive industry to improve logistic processes.
EN
The current research study aimed to explore the utility of selected problem-solving tools and techniques in root-cause analysis to demonstrate their practical application. An experimental research design adopting a positivist empirical approach with a deductive strategy was followed to assess the effectiveness of a combined (8D & Six Sigma) problem-solving approach in reducing a high defects rate of a mixer shower assembly line. A novel application of the 8D framework in combination with Six Sigma and other analytical tools was found highly effective in reducing the reject rate from 11.84% to 0.11%. Successful identification of the root cause led to the implementation of permanent corrective action ensuring a long-term stable assembly process. The research study provided a problem-solving framework that was found effective in resolving a complex problem and implementing long-term corrective action in an assembly production line. However, this framework can be used in other industries. The research study provides a solution to a high number of leak rejects in a subassembly where “O-seals” are used between mating parts. It also provides analytical tools that were found highly effective during the problem-solving process.
EN
An enterprise which is managed in a modern way should be based on the concept of knowledge management. It is particularly important in the case of processes related to facility maintenance, where the efficiency and effectiveness of work is directly connected with the employees’ knowledge. Improvement of processes involved in facility maintenance has a real influence on the productivity of a manufacturing enterprise. High accessibility of technical equipment and its correct functioning influence not only production efficiency but also the quality of products and the safety of operators. The article is a description of an attempt to implement one of quality engineering methods for improving the facility maintenance process. The author decided to use the 8D method to shorten the duration of downtimes caused by breakdowns. Owing to the conducted analysis and the implementation of the improvement and preventive actions, we were able to shorten the duration of a downtime of a machine having a crucial importance for the company. Investigations and implementation were conducted in one of Silesian production plants.
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