Design of an Intelligent Application Using a Genetic Algorithm to Determine the Structure and Sales Volumes of Customized Products

The development of the economy and the constant competition for the customer bring new stimuli in production, trade, and consumption. Manufacturers are increasingly trying to meet the needs of customers. Their production and business strategy want to meet the needs of a wider range of consumers. To satisfy the customer's individual needs, a new marketing strategy—Mass Customization—has come to the fore since the 1990s. After the difficult post-war years, when the primary goal of manufacturers was to produce large volumes of products for little money, i.e. to produce en masse, the company got into a state where it no longer wanted to choose between the black and black Ford model but wanted to choose based on its own needs and -Age. This situation was captured by Drucker, who claimed that the only constant of the time was changed. This came in the form of the already mentioned mass customization, during which the individual phases of the production process slowly began to be customized. This means that the final consumer has become part of the transformation process by deciding on the final product. Deciding to introduce mass customization into a manufacturing company's strategy means improving communication with customers adapting the production process and final products to consumer requirements and specifications. The work focuses on developing and applying a genetic algorithm to create an optimization model. Its verification was performed in a selected production company. It is possible to determine the optimal production quantities of individual types of products under the conditions of profit maximization.