Advertisement
Published in:
2013 | OriginalPaper | Chapter
Practical Considerations about Error Analysis for Discrete Event Simulations Model
Authors : Giovanni Davoli, Peter Nielsen, Gabriele Pattarozzi, Riccardo Melloni
Published in: Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
The purpose of making efficient and flexible manufacturing systems is often related to the possibility to analyze the system considering at the same time a wide number of parameters and their interactions. Simulation models are proved to be useful to support and drive company management in improving the performances of production and logistic systems. However, to achieve the expected results, a detailed model of the production and logistic system is needed as well as a structured error analysis to guarantee results reliability. The aim of this paper is to give some practical guide lines in order to drive the error analysis for discrete event stochastic simulation model that are widely used to study production and logistic system.