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IJSTR >> Volume 3- Issue 12, December 2014 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Development Of A Decision Support System In Determining Optimum Number Of Server For Nnpc Mega Petroleum Stations

[Full Text]



Mbachu, Victor M. , Onyechi, Pius C., Ogunoh, Victor A.





Abstract: Customers queue up at the Nigerian National Petroleum Corporation (NNPC) mega stations to purchase the Premium Motor Spirit (PMS), Dual Purpose Kerosene (DPK) and Automotive Gas Oil (AGO) popularly called petrol, kerosene and diesel respectively in the country. The PMS usually has the highest demand due to its various uses, and the queue for the product at NNPC Mega station during period of scarcity (referred to here as peak periods) has varying average arrival rate at various time of the day. The waiting situation is exasperating to the customers and the management. Thus an operational plan module for determining basically the optimum number of active servers to salve the queue problem in the Stations, while attending to vehicles with minimum demand of 10 litres of PMS was developed. The following optimal active servers were obtained and recommended for the corresponded arrival rate of 1 car per minute to 4 cars per minute, at 72- 80% system utilization rate, a known average service rate of 0.457 cars per minute and average waiting time of 2.6954 minutes to 0.9737 minutes. Simulation of the system was done generating a model which suggests optimum number of server given arrival rates and average service rate.



[1] Blanc, J.P.C. (2011). Queueing Models: Analytical and Numerical Methods (Course 35M2C8), Department of Econometrics and Operations Research Tilburg University, pp 30-57.

[2] Chinwuko E.C and Nwosu M.C (2014), Analysis of a Queuing System in an Organization (A Case Study of First Bank PLC). 2014 National Conference on Engineering for Sustainable Development, Nnamdi Azikiwe University Awka, Anambra State Nigeria: Paper F29, pp 256-267 Manufacturing and Industrial Infrastructure Issues.

[3] Egolum C.C (2001), Quantitative Technique for Management Decisions. Nnamdi Azikiwe University Awka, Anambra State. Pp 91-131.

[4] Hiller S.F and Lieberman J.G. (2005) Introduction to Operations Research, Boston: McGraw Hill, Eight Edition.

[5] Lapin L.L. (1981), Quantitative Methods for Business Decision, Harcourt: B. Jouanaurch, 2nd Edition. pp 182 – 201.

[6] Mgbemena C.E., 2010. Modeling of the Queuing System for Improved Customer Service in Nigerian Banks, M.Eng Thesis, Nnamdi Azikiwe University Awka, Nigeria.

[7] Nain P. (2004). Basic Elements of Queuing Theory Application to the Modeling of Computer Systems (Lecture notes), Pp 16-31

[8] Obamiro, J.K.,(2003) “Application of Queuing Model in Determining the Optimum Number of Service Facilities in Nigerian Hospitals”, M. Sc. Project Submitted to Department Business Administration, University of Ilorin.

[9] Ohaneme C.O, Ohaneme L.C, Eneh I.L and Nwosu A.W (2011) “Performance Evaluation of Queuing in an Established Petroleum Dispensary System Using Simulation Technique” International Journal of Computer Networks and Wireless Communications (IJCNWC), Vol.2, No.2, April 2012.

[10] Singh V., (2007) “Use of Queuing Models in Health Care”, Department of Health Policy and Management, University of Arkansas for Medicals Sciences.

[11] Sztrik, J. (2011). Basic Queuing Theory, University of Debrecen, Faculty of Informatics, pp 17-57.

[12] Takagi, H (1991) “Queuing Analysis, A Foundation of Performance Evaluation”, Vacation and Priority Systems, 1, 10-19.