Tricanter Production Process Optimization by Digital Factory Simulation Tools

Abstract

As a result of globalization the aspects of raising productivity and speed of production with extreme requests on the flexibility of the production systems are gaining importance. These aspects of production are affected by type of product and production and mainly by the capability of companies to correctly manage the manufacturing process. Manufacturing process is globally quicker than it was and the areas of logistics and production planning are still gaining more importance. Gradual changes are also in complexity of production. Without modern tools for production planning it would be very hard to manage production effectively. These tools are part of digital factory concept. Because of those tools the effective planning of production and utilizing the production facilities capacity to its fullest is possible. This paper describes development and implementation of the digital factory concept and its tools in our partner company and is built on previous paper dedicated to common implementation principles of digital factory tools. The main goal of digital factory implementation was optimization of the Tricanter production planning process, elimination of bottle-necks of production system and optimization of manufacturing facilities capacities utilization.

The use of Computer Simulation Techniques in Production Management

“…However, once with the start of the industrial revolution, and in particular with the introduction of the assembly line, production transformed into a complex system consisting of many pieces of equipment, many operations and activities, and involving many people interacting with each other [47][48][49][50]. Optimizing the process using the simulation method means finding the best configuration of input variables that will reflect the highest efficiency and stability of the process [51,52]. And the optimization itself usually consists in maximizing or minimizing the selected parameter [53][54].…”

Management optimizing the costs and duration time of the process in the production system

“…Optimizing a process by simulation means building a model that reflects the process and finding the best configuration of input fields that find the best response value (Krynke et al, 2019). Optimization usually consists of maximizing or minimizing a selected parameter (Kaczmar, 2016;Kyncl et al, 2017;Le et al, 2020). After building each simulation model, it should be validated, i.e.…”

Personnel management on the production line using the FlexSim simulation environment

“…Proper work organization consists in setting the course of work in such a way as to obtain maximum results with the least amount of work and technical resources and the least time loss [10,11]. Badly organized work leads to unnecessary consumption of resources of production and human work, not bringing economic effects commensurate with the incurred inputs, and also not contributing to the creation of optimal conditions for the working person [12,13].…”