Applications of Replacement Model Approach in Management of God- Is-Good Transportation Company

When it comes to replacing the cars in their fleets, transportation companies have a lot of factors to take into account. The age of the cars is one of the most crucial variables because older models typically need more upkeep and repairs, and if possibly replace, which may be expensive both financially and in terms of time. Using God is Good Motors as a case study, the research applied replacement theory in a transportation company to predict when to replace a vehicle using Replacement Policy when Value of Money does not change over time. The study looked at the creation, application, and assessment of a replacement model specifically designed to meet the requirements of God is Good (GIGM) Transport Company, one of Nigeria's top providers of intercity transportation services. The study commenced with an extensive examination of previous research, including current approaches, variables impacting replacement choices, and consequences for both operational and environmental results. On the basis of this framework, a methodical approach is created for creating and executing the replacement model, which includes data gathering, model creation, simulation methods, and validation procedures. The replacement model's practical use within GIGM Transport Company offered insightful information about how to apply abstract ideas to actual situations. The result showed that the average total cost A<sub>(n)</sub> is minimum at the end of the 6<sup>th</sup> year and from the next year, that is the 7<sup>th</sup> year onwards, the value of A<sub>(n)</sub> increases. Thus, a decision of replacement of the vehicle, would be right to be taken on the 6<sup>th</sup> year.

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Publication Details

Journal
Science Journal of Applied Mathematics and Statistics
Published
2024-09-26
DOI
https://doi.org/10.11648/j.sjams.20241204.12
Primary Topic
Facility Location and Emergency Management
Type
article
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article

Applications of Replacement Model Approach in Management of God- Is-Good Transportation Company

Ukamaka Cynthia Orumie, Nwachukwu Racheal
Science Journal of Applied Mathematics and Statistics
Facility Location and Emergency Management
article

Applications of Replacement Model Approach in Management of God- Is-Good Transportation Company

Ukamaka Cynthia Orumie, Nwachukwu Racheal
article en

Abstract

When it comes to replacing the cars in their fleets, transportation companies have a lot of factors to take into account. The age of the cars is one of the most crucial variables because older models typically need more upkeep and repairs, and if possibly replace, which may be expensive both financially and in terms of time. Using God is Good Motors as a case study, the research applied replacement theory in a transportation company to predict when to replace a vehicle using Replacement Policy when Value of Money does not change over time. The study looked at the creation, application, and assessment of a replacement model specifically designed to meet the requirements of God is Good (GIGM) Transport Company, one of Nigeria's top providers of intercity transportation services. The study commenced with an extensive examination of previous research, including current approaches, variables impacting replacement choices, and consequences for both operational and environmental results. On the basis of this framework, a methodical approach is created for creating and executing the replacement model, which includes data gathering, model creation, simulation methods, and validation procedures. The replacement model's practical use within GIGM Transport Company offered insightful information about how to apply abstract ideas to actual situations. The result showed that the average total cost A<sub>(n)</sub> is minimum at the end of the 6<sup>th</sup> year and from the next year, that is the 7<sup>th</sup> year onwards, the value of A<sub>(n)</sub> increases. Thus, a decision of replacement of the vehicle, would be right to be taken on the 6<sup>th</sup> year.

Science Journal of Applied Mathematics and StatisticsVol. 12(4)
University of Port Harcourt (NG)
Openalex Percentile: Top 77%
Facility Location and Emergency Management
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