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    Abstract
2012 (Vol. 4, Issue: 14)
Article Information:

Hybrid Systems Modeling in Non Standard Queue and Optimization with the Simulation Approach in CNG Stations

Amir Abbas Shojaie, Meysam Haddadi and Farshid Abdi
Corresponding Author:  Amir Abbas Shojaie 

Key words:  Constraints deployment, fuel stations (CNG), non-standard system, queuing theory, , ,
Vol. 4 , (14): 2110-2119
Submitted Accepted Published
February 02, 2012 March 06, 2012 July 15, 2012
Abstract:

Modeling line in non standard way occurs when layout constraints and inappropriate placing customer is limited for taking customer service by the servant. The aim of this study is providing a mixed model for analyzing the system of non-standard line with Considering the limitations of the layout with Using the concepts and principles of queuing theory So that the main parameters of the model for this type of system can be calculated and The basis of queuing systems with non-standard parameters may be considered. In these nonstandard systems, because of special arrangement of servants, there are some delay times for giving services and exit. The use of simulation tools to demonstrate the relatively low efficiency of CNG (Compressed Natural Gas) stations in Iran, To provide an optimum combination of servers (Fuel nozzle) Also more efficient layout for the CNG stations has Studied. Manufacturing firms and service managers can use this model and evaluate and analysis their own system and get a better recognition of their system. One of the most widely used queuing systems in the country are CNG stations, in consideration high investment cost and land value in large cities, so we decided to studied on this area as one of the servicing activities.
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  Cite this Reference:
Amir Abbas Shojaie, Meysam Haddadi and Farshid Abdi, 2012. Hybrid Systems Modeling in Non Standard Queue and Optimization with the Simulation Approach in CNG Stations.  Research Journal of Applied Sciences, Engineering and Technology, 4(14): 2110-2119.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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