TRANSPORTATION MODEL AND COST CONTROL OF PLASTIC MANUFACTURING FIRMS IN PORT HARCOURT

David Onwuchekwa, Ph.D; Onyemezikeya, Obubeleye George

Authors

David Onwuchekwa, Ph.D Department of Management, Faculty of Management Sciences Ignatius Ajuru University of Education, Port Harcourt, Rivers State, Nigeria
Onyemezikeya, Obubeleye George Department of Management, Faculty of Management Sciences Ignatius Ajuru University of Education, Port Harcourt, Rivers State, Nigeria

Abstract

This study examines the relationship between transportation model and cost control of plastic manufacturing firms in Port Harcourt. This study adopted a correlational survey research design as the study seek to determine the relationship between both variables under study. The population of the study consisted of 11 plastic firms in Port Harcourt. The study adopted a census population. 3 Managers were selected from each firm multiplied 11 firms give us a total of 33 respondents under study. Structured questionnaire instrument title” transportation model and cost control questionnaire “was developed on five-point likert scale. The result of the Cronbach's Alpha reliability test indicates .702 which is above. 70 which implies that the items are reliable. The primary data for this study were generated through questionnaire. hypotheses were tested using Pearson product moment correlation on SPSS. The study revealed that there is a significant relationship between Microscopic and Cost budgeting of plastic manufacturing firms in Port Harcourt. There is a significant relationship between Microscopic and Cost optimization of plastic manufacturing firms in Port Harcourt. There is a significant relationship between Macroscopic and Cost budgeting of plastic manufacturing firms in Port Harcourt. There is a significant relationship between Macroscopic and Cost optimization of plastic manufacturing firms in Port Harcourt. In conclusion, the transportation model and cost control are crucial aspects for plastic manufacturing firms in Port Harcourt. By optimizing transportation routes, scheduling deliveries efficiently, and implementing cost control measures, these firms can enhance their operational efficiency, reduce costs, and improve overall profitability. The transportation model helps in determining the most cost-effective way to transport raw materials to the manufacturing plant and deliver finished products to customers. By utilizing advanced transportation modeling techniques, firms can minimize transportation costs while ensuring timely deliveries. The study recommended that manufacturing firms should Implement a comprehensive transportation model that considers factors such as distance, traffic conditions, fuel costs, and vehicle capacity to optimize transportation routes.