A novel Queuing systems (QS) is used in everyday life and all industries, business areas. In our existing systems has two problems, first one is time and cost optimization, and second one is not been sufficiently explored. This especially applies to logistics systems, where a large number of transportation and storage units appear. In this paper, the optimization technique is used, which is important to pH neutralization process. The objective of this work is to develop an ANFIS (Adaptive neuro-fuzzy inference system) model in a pH neutralization process for defining QS optimization parameters. This techniques directly affects the efficiency of the system, but also improve the overall costs that this system. The developed ANFIS model was compared to the existing system with a mathematical model through a sensitivity analysis, simulation provides a optimize analysis. Then the mathematical model showed outstanding results, which justifies its development and application.
Volume 11 | 06-Special Issue
Pages: 1610-1617