Plant Simulation as an Instrument of Logistics and Transport of Materials in a Digital Factory

Abstract

The competition of international manufacturing networks creates pressure to increase the efficiency of manufacturing systems. In addition to this, indicative for the present period is the fact that the number of technical components in many products is increasing, and at the same time the requirements are growing for corresponding assembly, transport and logistical processes. These requirements can be administered and recognized in the scope of their complexity only through the use of an array of rapid and efficient methods in the form of a digital factory. This contribution points to the practical application of the Plant Simulation software module from the portfolio of the digital factory of Siemens PLM. This complex instrument with an environment for controlling the life cycle of a product enables repeated utilization of data, supports effective cooperation between individual units, and provides relevant data for each user who needs it, mainly from the viewpoint of strategic decision-making. The simulation of the entire flow of material, including all relevant divisions of manufacturing, storing and transport activities, is considered as the key component of the digital factory in industry and from this day forward is the most often used.

Frontiers of Artificial Intelligence Versus Generative, Explainable and Quantum Technologies: An Overview

“…Complex optimization issues, such production line scheduling or delivery vehicle route optimization can be effectively resolved by quantum computing. Industries can optimize resource use, save expenses, and streamline processes by utilizing QAI [19]. Moreover, QAI offers improved security procedures that are immune to quantum attacks in the fields of cyber security and cryptography.…”

Digital Transformation in Operations Management: a Bibliometric-Based Systematic Review

“…During 2014-2015, digitalization mainly studied on the topics of digitization on the product design process (Henfridsson et al, 2014), the effects of digitalization on productivity and employment growth (Evangelista et al, 2014), and plant simulation in a digital factory (Hovanec et al, 2015). Another important theme, I4.0, was studied in various studies in 2014-2015.…”

Simulation model of a stop production line: the relationship between financial return and productivity

“…Duranik et al (2013) proposed the use of Tecnomatix Plant Simulation © software as a way to analyze the process of a thermoset molding industry and create scenarios to increase productivity. Hovanec et al (2015) used the software to simulate the entire flow of materials, including all relevant divisions of manufacturing, storage and transportation activities in a digital factory. Malega et al (2017) developed a simulation model of a tapered roller bearing production process using the simulation tool to improve process efficiency.…”