
Research Article
Use of Product Lifecycle Management in Preparation for Simulation of Logistic Processes
@INPROCEEDINGS{10.1007/978-3-031-72393-3_13, author={Peter Korba and Michal Hovanec and Volodymyr Tymofiiv and Samer Al-rabeei and Martin Vencel’ and Patrik Asnad}, title={Use of Product Lifecycle Management in Preparation for Simulation of Logistic Processes}, proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 8th EAI International Conference, FABULOUS 2024, Zagreb, Croatia, May 9--10, 2024, Proceedings}, proceedings_a={FABULOUS}, year={2024}, month={10}, keywords={PLM simulation warehouse}, doi={10.1007/978-3-031-72393-3_13} }
- Peter Korba
Michal Hovanec
Volodymyr Tymofiiv
Samer Al-rabeei
Martin Vencel’
Patrik Asnad
Year: 2024
Use of Product Lifecycle Management in Preparation for Simulation of Logistic Processes
FABULOUS
Springer
DOI: 10.1007/978-3-031-72393-3_13
Abstract
This article deals with the use of Product Lifecycle Management (PLM) in the preparation of logistics process simulation. PLM is a comprehensive information system that provides management and tracking of the product lifecycle from the conceptual phase to disposal. Logistics process simulation is a tool that allows to analyze and optimize the course of logistics operations without the risk of real interventions. In this abstract, we present an example of the use of PLM in the preparation of a simulation of logistics processes in a manufacturing environment. We demonstrate how PLM allows us to model different logistics scenarios, optimize inventory, minimize time and financial costs, and increase overall supply chain efficiency. The combination of PLM and logistics process simulation opens the way to improving supply chain management and increasing business competitiveness through more accurate and efficient logistics solutions. This abstract discusses the benefits and potential of this combination and suggests further avenues for research and implementation in practice.
The paper highlights the synergy between PLM and simulation technologies, illustrating how PLM acts as a bridge between disparate data sources, ensuring a unified and accurate representation of the product and its associated logistics processes. With this integration, organizations can create realistic simulations that reflect the complexity of their supply chains, enabling them to identify potential bottlenecks, optimize resource allocation, and increase overall operational resilience.