Justus A. Ademuyiwa

Work place: Department of Mathematics and Statistics, Federal Polytechnic, Ile-Oluji, Department of Mathematics and Statistics Osun State College of Technology, Esa-Oke, Nigeria

E-mail: ladamandraka2010@gmail.com


Research Interests: Statistics


Justus A. Ademuyiwa was born on 21st of November, 1977. He has higher national diploma, 2001 in statistics at Federal Polytechnic, Ado Ekiti. He has post graduate diploma in statistics at Federal University of Technology, Akure and master in statistics at University of Ilorin, Nigeria. He is currently the head of department of statistics, Federal Polytechnic, Ile-Oluji, Nigeria.

Author Articles
Service Time Management of Doctor's Consultation Using Parallel Service Time in Wesley Guild Hospital, Ilesa, Osun State, Nigeria

By David O. Ikotun Alaba T. Owoseni Justus A. Ademuyiwa

DOI: https://doi.org/10.5815/ijmsc.2017.01.05, Pub. Date: 8 Jan. 2017

How to manage patient's service time has been a burden in view of the condition of patients who have to wait for required service from doctors in many hospitals in developing countries. This paper deals with the management of service time of doctor's consultation using parallel service time. Though, the theoretical underlying distribution of service time is exponential, but this research showed service time to be non-exponential but, normal. This unusual distribution of service time was attributed to non-identical services required by patients from doctors in the considered sample space. Secondly, the mean service time from each service point as researched was found the same. This showed that no line could be preferred to other.

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Comparative Analysis of Customers' Queue Management of First Bank Plc. and Guaranty Trust Bank Plc, Isokun Ilesa, Nigeria

By David O. Ikotun Justus A. Ademuyiwa Festus D. Famule

DOI: https://doi.org/10.5815/ijmsc.2016.04.01, Pub. Date: 8 Nov. 2016

Problem of queue management has been a great barrier to the financial institutions. Another way of measuring efficiency in banking industries is how fast the service of saving and withdraw is been rendered. Imagine customers that spend the whole day in the banking hall for one service or the other, due to poor service delivery and long stay on the queue will not hesitate to change his bank. Data was collected by direct observation in two banks, one old generation bank and one new generation bank, queue model and other statistical tools were used to analyze the data. Result of the analysis shows that Guaranty Trust Bank is more efficient than First Bank in that the later has a prolonged service time attributed to the preference of it by a pool of customers for many reasons.

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