JAAKFE UNTAN (Jurnal Audit Dan Akuntansi Fakultas Ekonomi Universitas Tanjungpura), 10(1), 10. Analisis Fishbone Diagram Untuk Mengevaluasi Pembuatan Peralatan Aluminium Studi Kasus Pada Sp Aluminium Yogyakarta. Management will search each problem for the root cause, and the answer that they will give will be right on target so that the hope to minimize the obstacles to decision making will be implemented.Įviyanti, N. In the end, management can find solutions to each of these problems. Root cause analysis and fishbone diagrams, that was possible to analyze in detail the causes of delays in decision making. The last problem is the lack of integration between divisions, so the resulting information is out of sync. The third problem is the absence of software that processes data into information needed by company management. The second problem is that the information presented as a guide for decision-making is inaccurate, not timely, and irrelevant. The problem is the first decision-maker namely, the company's management is not wholly a determinant in making decisions. The results of this study can be seen in decision making four problems underlie the inhibition of decision making. This study uses a qualitative descriptive method by taking data from interviews and documentation. The method used in the root cause analysis is a fishbone diagram where the fishbone diagram can identify some of the problems that underlie the constraints in decision making. Root cause analysis is used to determine the initial cause of the issues. ![]() In this study, the device used to analyze the problem is root cause analysis. Managers can identify several constraints in decision-making by using analytical tools. This study aims to analyze the causes of delays in decision-making within the company. ![]() Lastly, they measure and monitor these factors with feedback and surveys before implementing improvement or innovation actions based on results.RCA, Fishbone Diagram, Management Information System, Decision Making, 4M Abstract The company has reliable data and information so they use the cause and effect matrix to rank and select important factors while using evidence to support their analysis. This is simpler as there are few factors that can affect customer satisfaction such as timeliness, accuracy, courtesy, or responsiveness. On the other hand, a service company wants to increase customer satisfaction rate of its services. Additionally, they use data and tests to verify and validate causes before implementing corrective and preventive actions based on their findings. Therefore, they choose the fishbone diagram to identify and categorize potential causes, and involve different teams in the analysis. The company has some data but not enough to be consistent. The issue is complex, with many possible factors that can affect quality, such as materials, machines, methods, people, environment, and measurement. For instance, a manufacturing company wants to reduce the defect rate of its products. To illustrate how to choose between the fishbone diagram and the cause and effect matrix for RCA, let's look at two examples from different industries and contexts. However, the cause and effect matrix can also be subjective and biased, as it relies on your judgment and assumptions to assign the scores and rankings. The cause and effect matrix also helps you prioritize and select the most important causes to address, based on data and evidence. The cause and effect matrix is more suitable for simple or straightforward problems that require a quick and quantitative analysis of the potential causes. ![]() However, the fishbone diagram can also be time-consuming and overwhelming, as it can generate too many causes that are difficult to verify or test. The fishbone diagram also encourages creativity and collaboration, as it allows you to involve different stakeholders and perspectives in the brainstorming process. The fishbone diagram is more suitable for complex or ambiguous problems that require a comprehensive and structured analysis of the possible causes. Both the fishbone diagram and the cause and effect matrix are useful RCA tools, but they have different strengths and limitations.
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