BOOKBINDING OPERATIONAL PLANNING AND SCHEDULING OPTIMIZATION WITH DEEP LEARNING ALGORITHMS

This work focuses on the scheduling optimization of the bookbinding process through the application of industrial engineering principles, complemented by artificial intelligence as a key factor in achieving operational efficiency. Flexibility and the need to adapt quickly to fluctuating market conditions in the publishing industry present challenges that require precise operational planning. This includes detailed planning of resources such as time, labour and machinery as well as the optimization of technical and technological processes. Each subprocess is meticulously documented in technological specifications, which precisely describe manufacturing process, product specifications and required quality controls. By analysing input and output parameters in four case studies, a mathematical model was developed to optimize the production process for soft book binding. The model is based on deep learning algorithms that analyse extensive data about the production process and enable an accurate prediction of the optimal production parameters based on current demand and production capacities. For this purpose, an artificial neural network was constructed, which is considered suitable due to its ability to learn complex patterns from data and generate predictions or recommendations based on a large amount of input data. The artificial neural network consists of input, hidden and output layers, each using an activation function that determines the activation of the neurons based on the input data. When training the artificial neural network, the weighting factors between the neurons in the hidden layers are adjusted to minimize the errors between the actual and predicted results. This architecture enables the artificial neural network to learn complicated data patterns and use the derived model for predictions and optimization of the production process in bookbinding. In addition, the model’s predictions facilitate continuous monitoring and analysis of product quality, identifying potential defects or problems before they impact production. By integrating this model, bookbinderies are able to continuously improve their production process and thereby achieve greater efficiency and competitiveness in the market