| Abstract [eng] |
Work subject - increasing the production capacity, competitive advantage and financial benefits of a mass production company. Work methods: scientific, statistical, public information analysis, systematized organizational and mathematical methods for optimizing production flows. The factors of non-value-added production are singled out in the work, such as: equipment failures, adjustment, maintenance, etc. The aim is to increase production capacity by reducing the adjustment time of the machines from one production batch to the next. For this purpose, mathematical methods were used to create optimal batch sequences in production centres that limit the production flow. Well-grounded approach allows to achieve the set goal by applying clustering and optimization methods such as: DBSCAN, HDBSCAN, K-Means, Hierarchical clustering, Branch and Bound, Ant colony, 2-opt, etc. The method consists of four steps: identification of work centres restricting the flow of production; setting conversion times based on proximity measures; batch clustering; finding optimal sequences in clusters. The adapted method allows to reduce the conversion times by up to 90%. Reduces non-value-added working hours and increases production capacity to 9%. Reduces direct labour costs, and indirect costs such as electricity, equipment depreciation per product. On this basis, it is possible to reduce the cost of the product by 2%, which gives a competitive advantage or by maintaining the same sales prices of the product, an increase in profit of 2%. This method can be applied in production plants engaged in the mass production of standardized goods and characterized by the variety of products produced and significant adjustment times of the equipment. The method can also be applied to various machines by reducing not only the total production capacity, but also the capacity of individual machines, which makes it possible to reduce the operating time of the machines. |
