Probabilistic Inventory Models and Productivity of Selected Manufacturing Firms in Port Harcourt

This study examines the relationship between probabilistic inventory models and productivity of selected manufacturing firms in port Harcourt. Correlational survey research design was adopted for this study as this study seek to determine the relationship between the two variables. The population of this study is thirty-two (32) manufacturing companies in Rivers State which are registered with the Rivers State branch of Manufacturers Association of Nigeria (MAN). This gave us a total of ninety-two (92) for the study. Structured questionnaire instrument title” Probabilistic inventory models and productivity of selected manufacturing firms in Port Harcourt. questionnaire was developed on five- point likert scale. The result of the Cronbach's Alpha reliability test indicates .800 which is above .70 which implies that the items are reliable. Pearson product moment correlation was used to test the hypotheses using SPSS (statistical package social sciences). The study revealed that there is a significant relationship between Continuous Review Models and Productivity of manufacturing firms in Port Harcourt, Rivers State. There is a significant relationship between Periodic Review Models and Productivity of manufacturing firms in Port Harcourt, Rivers State. There is a significant relationship between Single-Period Models and Productivity of manufacturing firms in Port Harcourt, Rivers State. The study concluded that Probabilistic inventory models play a crucial role in optimizing inventory management for manufacturing firms. The study recommended that Manufacturing firms in Port Harcourt should consider implementing probabilistic inventory models such as continuous review, periodic review, and single-period models to optimize their inventory management processes.