Analysis of process mining as a suppliment for production process improvment

Manufacturing within a workshop layout raises multiple difficult problems with how the production is planned and how it is supposed to be run to be able to maintain quality, profitability, effectiveness while at the same time keep the lead time to a minimum. To succeed with the above, it requires a well-planned production process and clear prioritizing rules for special occasions. For the personnel to be able to succeed and plan the production, they need have great knowledge in how the production works and what areas in which problems are likely to occur. The study will use the process mining software Disco and combined with interviews and observations to determine if process mining could be utilized with the purpose to improve the company’s production process. The result from the study shows that using process mining will support the company in getting better understanding in the productions current situation. It also shows that process mining can identify areas in the production process where long waiting times occur and deviations in the production data log. The study also shows that the company could profit from utilizing process mining in their work to improve the process to reach an improved current state in the future with being a complement to simulation models and can be seen as an early step in the PDCA-tool.