engleski

Shipbuilding pipeline production quality improvement

Purpose: The pipeline production is one of major processes in shipbuilding industry. Quality improvement and risk assessment in this process can yield significant savings, both in terms of internal quality costs as well as in terms of customer satisfactions. Approach: Shipbuilding pipeline production quality improvement has been carried out by application of FMEA (Failure Mode and Effect Analysis) method. For the successful implementation of FMEA method it is necessary to identify process failure modes or possibility of the appearance of non-compliance, as well as their possible causes. For qualitative analysis of key input variables of the process, in the paper is used Ishikawa diagram and p-chart. Findings: It is shown that proposed approach to risk assessment in shipbuilding pipeline production is applicable to real casa scenario. The analysis has identified the points in the process with the highest probability of occurrence of nonconformities, or the highest risk for error. Research limitations/implications: As the experimenting has been conducted in shipyard, within production process, research schedule must have been set in accordance with production pace. Also, due to character of production process the data collecting was adopted to the production plan in that particular moment. Practical implications: Dealing with causes of potential nonconformities in the process can significantly contribute to the reliability and robustness of the process. Corrective actions that have been taken based on results of analysis significantly contributed to the level of quality in the pipeline production process. Originality/value: The pepper is dealing with a well known method applied in different production environment that are mostly conservative in production approach. It was shown that successful application of proposed approach can yield benefits especially in improved quality of produced pipelines within shipbuilding industry.

Manufacturing and Processing; Quality Assessment; FMEA; Pipeline Production

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