Global Journal of Researches in Engineering, J: General Engineering, Volume 22 Issue 1

way in making vital socio-economic decisions in truck scheduling to reduce incessant traffic congestion around the dumpsite’s location. VI. R ecommendation In view of the 4% (low) probability of the system being idle, this study asserts that, there will be problem of long queues, waiting times and high utilization of the system (being always busy), this situation may not aid efficiency of the system in future. To further reduce the waiting time of trucks at the dumpsite from 30mins to somewhat 15mins, it is recommended that another service channel be opened by the dumpsite’s management to enhance the service rate and rapid turnaround of trucks. It also suggested that officials of the Lagos State Traffic Management Authority (LASTMA) be drafted into this area to control traffic. There is need for Lagos State Government to create a slip road of at least 500meters on both side of the major road to serve as waiting area for the trucks to reduce traffic congestion at the dumpsite’s area and the access road to the dumpsite should be re- surfaced. This will consequently improve the trucks’ service time and the level of trucks’ turn-around from the dumpsite. R eferences R éférences R eferencias 1. Akinnuli, B. O. and Olugbade T. (2014). Application of Queue Model for Performance Assessment of Multi-Channel Multi Servers Motor Spirit Filling Station, International Journal of Engineering and Innovative Technology (IJEIT), vol.3(issue 7), pp.74- 81. 2. Ameh, N.; Sabo, B. and Oyefabi, M. O. (2013). Application of Queuing Theory to Patient Satisfaction at a Tertiary Hospital in Nigeria. vol. 54(Issue 1), pp.64-67. 3. Anokye, M.; Abdul-Aziz A. R.; Annin K. and Oduro F. T. (2013). Application of Queueing Theory to Vehicular Traffic at Signalized Intersection in Kumasi Ashanti Region, Ghana. American International Journal of Contemporary Research. vol.3, No. 7, pp. 23-24. 4. Famule, F. D. (2010). Analysis of M/M/1 Queueing Model with Application to Waiting Time in Banks. Global Journal of Computer Science and Technology, vol.10 (issue 13), pp. 26-34. 5. Green, L.V. (2003). How many Hospital Beds? Inquiry, vol. 37, pp. 400-412. 6. Gross, D. and Harris, C. (1985). Fundamentals of Queuing Theory (2 nd ed.). John Wiley and Sons, New York. 7. Hall, R.W. (1990). Queuing Methods for Services and Manufacturing. New Jersey, Prentice Hall. 8. Koko, M. A.; M. S. Burodo and S. Suleiman (2018). Queuing Theory and It’s Application Analysis on Bus Services using Single Server and Multiple Servers’ Model. American Journal of Operations Management and Information Systems, vol.3 (issue 4), pp. 81-85. 9. Lucey, T. (1992). Quantitative Techniques. DP Publications London. 10. Magnus, U.; Joseph, O. C. and Anthony, O. I. (2015). The Application of Queuing Theory in the Effective Management of Time in Money Deposit Banks - A Study of Zenith bank PLC in Enugu Metropolis. International Journal Research Publications, vol. 5, No. 8, pp.19-32. 11. Odewumi, S. G. (2004). A Study of Solid Waste Transportation in Metropolitan Lagos. An unpublished PhD Thesis, Department of Geography, University of Lagos, Akoka Yaba, Lagos State. 12. Odior, A. O. (2013). Application of Queuing Theory to Petrol Stations in Benin- City Area of Edo State, Nigeria. Nigeria Journal of Technology (NIJOTECH). vol. 32, No. 2, pp. 325-332. 13. Ojo, A. O. and Adebisi, S. A. (2018). Queuing in the University System. Applied Mathematics, vol. 8, No. 2, pp.30-32. 14. Okoko, E. (2000). Quantitative Techniques in Urban Analysis. Kraft Books Limited. Ibadan. 15. Olorunfemi, F. B. (2003). Perception and Analysis of the Impact of Noxious Facilities in Urban Area: The Case of Landfills in Lagos Metropolis. A PhD Thesis in the Department of Geography, University of Ibadan. 16. Onoja, A.A. Babasola, O. L.; Moyo, E.; and Ojiambo, V. (2018). The Application of Queuing Analysis in Modeling Optional Services Level. International Journal of Scientific & Engineering Research, vol. 9(issue 1), pp.184. 17. Oyatoye, E. O.; Adebiyi, S. O.; Okoye, J. C. and Amole, B. B. (2011). Application of Queuing Theory to Port Congestion Problem in Nigeria. European Journal of Business and Management, vol. 3, No.8. 18. Paul, A. N. and Akpofire, O. N. (2015). Queuing Theory and its Application in Waste Management Authority (A Focus on LAWMA Igando Dumpsite, Lagos State). International Journal of Science and Research (IJSR), vol. 4 /x.eq.www.ijsr.net 19. Taylor, S. (1994). Waiting for Service: The Relationship between Delay Evaluations of Service. Journal of Marketing, vol. 58, No. 2, pp. 56-69. 20. Wright, P. H. and Ashford, N. J. (1989). Transportation Engineering: Planning and Design. (3rd ed.), Wiley, New York. Improving Trucks Management at Dumpsites through the Application of Queue Theory- The Case of Solous III Dumpsite, Igando, Lagos State lobal Journal of Researches in Engineering ( ) Volume XxXII Issue I Version I J G 36 Year 2022 © 2022 Global Journals