AbstractThe article presents sources of production knowledge and thoroughly describes its identification which on the construction of decision trees, and on the construction of knowledge bases for production processes. The problems that arise during the technical preparation of production are briefly characterized and the advanced algorithm with which decision trees can be built is described in detail. A decision tree was built based on real data from the manufacturing company. Decision trees are presented as a method of knowledge representation.
Evaluation of safety and arduousness of work conditions of feller with use of modern measurement
methods. An analysis of issues relating to the subject of widely understood science of ergonomics is shown.
Considerations of the authors concentrate on the assessment of arduousness of work of a worker in the
workplace of a feller with special consideration of modern measurement methods implementation. The article
also aims at establishing whether Body Media Sense Wear device and POLAR V800 with Polar Flow software
are useful in monitoring of physical activity parameters of wood industry workers while diagnosing strain of
their work.
This paper presents an approach to assembly planning in the early phase of product development. The product specification, workstation, environment, equipment and tools are not fully known in the early stage of product development. When comparing product variants at this stage there is a lack of data that affects the efficiency of the manufacturing process. It is therefore necessary to apply methods useful in processing incomplete and uncertain data. The main indicator which helps in comparing different product variants is manufacturing time standard. This papier is focused on assembly tool selection which is one of important data influenced assembly time. Based on the proposed algorithm and case study, a tool selection method using a decision tree induced from a training set with reduced uncertainty is presented.
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