Assesement On Container Handling Service Peractice And Its Afecting Factores
| dc.contributor.advisor | Temesgen, Busha (PhD) | |
| dc.contributor.author | Tigabu, Amare | |
| dc.date.accessioned | 2020-12-11T06:56:34Z | |
| dc.date.accessioned | 2023-11-04T14:00:56Z | |
| dc.date.available | 2020-12-11T06:56:34Z | |
| dc.date.available | 2023-11-04T14:00:56Z | |
| dc.date.issued | 2020-06 | |
| dc.description.abstract | Previous studies published thoughts that dry port container handling service Practice can be affected by many factors and this study revealed that factors such as insufficient port yard equipment, dwell time, container cargo volume and truck turnaround time, custom clearance, limited storage capacity, poor logistics connections to hinterland and infrastructure directly influencing performance of container handling service in the port yard. Datche (2015) ,and Nyma (2014) This study has been tried to assess container handling practice and Its affecting factors at Mojo port and terminal. To undertake the study primary and secondary data had been collected secondary data is collected from mojo operational data base and the enterprise statistical bulletin publishes on ( 2011EFY) and primary data is collected using questionnaire survey that had been built taking into account all the considerations expected to be factors and contributors to performance of container handling service specially on container yard capacity , container dwelling time on the dry port , port machinery equipment productivity and availability , port infrastructure, custom processing time, of the dry port data will be Tangible, Reliability, Responsiveness, Assurance, and Empathy. Further, customer’s perceptions were considered to assess Customer looking on the dry port container handling service time performance. A sample of customers, employee and custom employees at mojo port were selected using purposive sampling technique. In addition, the data was analyzed using descriptive statistics research design approach Marczyket.al. (2005). The statistical methods of analysis included a descriptive statistics (frequency, mean, percentage) and text explanation , factors of analysis and the results are presented in different way, i.e.;- chart , graph, figures , table some other mechanism to show the real impact and factors of the variables on performance of container handling service. Finally we found from the study magnitude of the problem and gap , identify the real factor affecting performance of container handling service. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/23954 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Dry port Dwell time | en_US |
| dc.subject | custom processing time | en_US |
| dc.subject | port machinery productivity | en_US |
| dc.subject | container handling service | en_US |
| dc.subject | performanc | en_US |
| dc.title | Assesement On Container Handling Service Peractice And Its Afecting Factores | en_US |
| dc.type | Thesis | en_US |