problem solving process

Short delivery times are essential in competitive markets. In addition to product selection and quality requirements, customers are also demanding more and more from logistics. However, high product variance complicates the situation, as it involves complex material flows and therefore leads to long throughput times. However, a four-step process analysis and modeling can help to reduce throughput times and strengthen the competitiveness of companies from within.

Manufacturing Analytics is the evaluation and use of data in the production context. This article shows which potentials can be realised by Manufacturing Analytics in the context of reactive quality management. First, a general definition of the term Manufacturing Analytics is given and then its classification in the context of quality management is carried out. On the basis of a literature analysis and the evaluation of existing use cases, findings regarding the potentials for reactive quality processes are derived. This shows that Manufacturing Analytics is particularly promising and can be used in root cause analysis, defect detection and avoidance. Subsequently, an application example is presented.