Abstract
The design and operation of intelligent production and logistics systems requires the strong support of digital technologies today. A production and logistics system is normally modelled in a virtual environment, allowing rapid work with an extensive data set and "what - if" analyses to help optimize the resulting system design for performance, productivity, safety and environmental performance of its future operation. This paper deals with the issue of the digital design of production systems with the effective deployment of virtual reality technologies into the individual phases of the production system design. This article describes the basic steps of the digital design methodology with the description of virtual reality application tools for the production and logistics system design, in order to reduce design defects and increase work safety. The proposed methodology has been verified in an experimental workplace, presenting real outputs. The final part of the article contains a brief discussion of the problem results.
Highlights
This article analyses the application of virtual reality into the digital design process
The use of virtual or augmented reality technologies helps to improve the quality of the design itself in view of future costs, productivity, safety and environmental friendliness of the future production and logistic system operation
By using virtual reality and its tools, a designer has a powerful instrument in his hand taking him into a virtual environment and the designer is able to work in this environment as in the real world
Summary
Technologies, such as reverse engineering, 3D modelling, interactive design, computer simulation and augmented reality are becoming standard tools supporting the digital design of production and logistic systems. (2006) publishes a series of works designed to use digital company technology when designing production systems. There has been technology use of virtual and augmented reality in the design and management of production and logistic processes and design concept development for future intelligent factories and their requirements.
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