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The objective of this study was to determine the optimal allocation of shipments (least cost) of two manufactured products between depots and places of consumption. In this study, the least-cost method was used in solving the transportation algorithm using Tora 2.0 version software. The study was necessary because of the high operating costs associated with physical distribution when deliveries are not properly planned and considered with reference to alternative strategies. In contrast, significant savings can be achieved by using techniques available for determining the cheapest methods of transporting goods from several origins to several destinations. Cost minimisation is a very useful approach to the solution of transportation problems.

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This study focuses on improving the operational performance of transport services in Nigeria by examining the economic life cycle of the vehicles in Nigerian National Petroleum Cooperation (NNPC). Data were collected on vehicle numbers, make, price, year of purchase and maintenance costs. Using Vehicle Replacement and Maintenance Model (VRMM) for the analysis. The study found that Toyota Hilux (T/Hilux) has economic life span of six years, while both Corolla T/Coaster and Skoda Superb have economic life span of eight years. Lastly, T/Camry and Honda Pilot should be replaced after nine years. Also, it is discovered that the NNPC vehicles were used to the end of their life spans. In the asset management principle, this practice is an economic wastage i.e. waste of resources and this issue need to be addressed. In view of the findings in this research work, the following recommendations are explained; the land transport department of NNPC should derive a policy of using their vehicles to its economic life span thereby preventing economic wastage, and NNPC fleet managers should be able to set apart a certain amount every year to make replacement easy. For example, 15% of inflation rate can be set apart every year for each vehicle.

The study assessed the performance of public sector funded infrastructure in Nigeria, with a special focus on airports. It utilized secondary data obtained from the Federal Airports Authority of Nigeria (FAAN), the Nigerian Civil Aviation Authority (NCAA), and the National Bureau of Statistics (NBS) covering the period 2004 to 2016.  A simple regression analyses of the data were carried out using total number of employees as the predictor variable and the total aircraft movement, total passenger movement, and total cargo movement as the dependent variables. The results of the analyses show that the p values calculated were < 0.05 alpha value, implying existence of a statistical relationship among the dependent variables (aircraft movement, passenger throughput, and cargo throughput) and independent variable (number of employees). Furthermore, the time series graphs show fluctuations in growth of the outputs (passenger throughput, aircraft movement and cargo throughput) for the Nigerian air transport system at various periods. This study has shown that there is a need for the government and stakeholders to take immediate actions in tackling factors responsible for the decline and fluctuations in the air transport industry.