Assessment On The Effects Of Transportation On The Logistics Performance Of Construction Projects The Case Of Koysha Hydroelectric Power Project Snnp

An effective logistics sector is now recognized almost everywhere as one of the core enablers of development and it is a key element for reducing costs and delays in construction projects. The purpose of this study was to examine the effect of transportation on the logistics performance of construction projects. In the case of larger projects involving a number of contractors, incompatibility of logistics concepts and lack of coordination results in serious disturbances in material and information flows. Logistics performance is about how efficiently supply chains connect firms to domestic and international opportunities.Without well-developed transportation systems, logistics could not bring its advantages into full play. Besides, a good transport system in logistics activities could provide better logistics efficiency, reduce operation cost, and promote service quality.rnBy considering this fact and central role of transportation at every construction project, the researcher performed the study by identifying roles of transportation in logistics performance dimensions (logistics differentiation, effectiveness and efficiency) and to understand the relationship between the effect of transportation and logistics performance. The study covers the Koysha hydroelectric power projects that is locatedat Omo River in southern Ethiopia’s Koysha. The study used deductive approach and both descriptive and explanatory research design to assess, describe and examine the effect of transportation in logistics performance on the construction’s projects. In the study both primary and observational data were used. The primary data were collected using questionnaire as a tool. Atotal of 113 questionnaires were distributed to respondents and a response of 103 were analyzed using regression methods on SPSS version 20.0. Accordingly, the findings of the analysis confirmed the positive relation between the independent variables (Reliability, Delivery time, Travel cost, capability, Accessibility and Network& infrastructure) and the performance (dependent variable) of the study. On the other hand, the logistic regression result identifies that Fuel management practices and transportation service to gives quick response to special requests as a determinant of overall logistic performance at 5% level of significance and Transportation service flexibility of the projects and demand smoothing was also identified as determinants of overall logistic performance at 10% level of significance. Based on the findings of the study, the researcher recommends adequate training should be prepared to all employees working on transport and logistics implementation, Fuel management practices, Transportation service flexibility of the projects and demand smoothing should be improved to increase the overall logistic performance

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