• F.T. Anyanwu
• O.N. Oguoma
• A.C. Okoronkwo
• J.O. Igbokwe

Abstract. The poison distribution of arrival rate and service rate was determined. The poison distribution model was developed to handle the queuing systems in the selected manufacturing companies. Data were collected using arrival rate and service rate. The tools for data collection were questionnaire, supervisory control and sourcing of existing literatures from these companies. The model was evaluated and results were obtained. The obtained result shows that the distributions were within acceptable range of probability distribution. For first Aluminum, Pλ is 0.282 and Pµ is 0.55 and Mλ is 2.282, Mµ is 5.55. The probability distribution of Eagle cement is given as: Pµ is 0.352, Pµ is 0.75; Mλ is 3.52, M µ is 7.5. For Cocacola company, the probability distribution obtained as: Pλ is 0.47, Pµ is 0.571; Mλ is 4.7; Mµ is 5.71. 7up bottling company has its probability values as Pµ is 0.634 and Pµ is 0.494; Mλ 6.34, Mλ is 4.94. Results obtained showed that the probability distributions are within the expectant range which is between 0 and 1. This range could be used to make predictions. This implies that the model can be used as a good working tool for decisions making and predictions.

"Determination of Poison Distribution of Queuing Systems in Five Manufacturing Companies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 9, page no.d296-d308, September-2021, Available :http://www.jetir.org/papers/JETIR2109331.pdf

"Determination of Poison Distribution of Queuing Systems in Five Manufacturing Companies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 9, page no. ppd296-d308, September-2021, Available at : http://www.jetir.org/papers/JETIR2109331.pdf