Annals: Series on engineering sciences (Academy of Romanian Scientists) (Jun 2017)
MODELING AND SIMULATION OF MANUFACTURING FLOWS FOR OPTIMIZING THE NUMBER OF WORKPIECES ON BUFFERS FROM MANUFACTURING SYSTEMS
Abstract
In many companies, the designers use simulation models to approximate the performance of a production system. Despite the fact that the simulation models are very useful in the detailed planning phase of a production system, the costs for a simulation program are usually high. This is recommended in the cases when the designer seeks for an optimal configuration of the system, and, as a consequence, it is necessary to make a great number of simulation runs. To get rid of this inconvenient, the study proposes the use of analytical instruments in order to estimate the performance of manufacturing system. The aim of this paper is to apply such an analytical approach for a manufacturing line by developing the algorithms for calculating the production rate. Using the Markov chains, the decomposition method as well as the C++ program represents the analytical instruments for a practical implementation. The analytical models results are verified using discrete event simulation with DELMIA Quest software. The main contribution of the article consists in a dynamic adaptation of the production rate by optimizing the buffers according to the effective demand or estimated demand of the market.
