Assesement On Container Handling Service Peractice And Its Afecting Factores
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Date
2020-06
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Addis Ababa University
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.
Description
Keywords
Dry port Dwell time, custom processing time, port machinery productivity, container handling service, performanc