Browsing by Author "Abera, Zelalem"

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    The Effect of Supply Chain Management Practices on Competitive Advantage of Habesha Brewery S.Co
    (Addis Ababa University, 2017-05) Abera, Zelalem; Jebena, Tariku (PhD)
    Supply chain management (SCM) is the means by which firms engaged in creating, distributing, and selling products, can join forces to establish a supply network with an unbeatable competitive advantage-has emerged as one of the most powerful business- improvement tools around Companies all over the world are pursuing supply chain as the latest methodology to reduce costs, increase customer satisfaction, better utilize assets, and build new revenues. This research conceptualizes and develops five dimensions of SCM practice (strategic supplier partnership, customer relationship, level of information sharing, quality of information sharing, and internal lean practices) and tests the effect of SCM practices on competitive advantage of a firm. The data for the study was collected from 80 employees of Habesha Brewery S.CO. The relationship.ps proposed in the framework were tested using Pearson correlation, and the causal relations were analyzed using regression analysis. From the result of the analysis it is concluded that there is strong relationship between SCM practices and overall Competitive advantage with Pearson correlation coefficient 0.864 (r=0.864) and significance value less than 0.001. Besides, SCM practices have an influence on overall competitive advantage. Therefore, in order to achieve advancement in marketing and financial performance in the long-run through enhancing overall competitive advantage, it is better for the organization to give due emphasis to the constructs of SCM practices
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    Flood Mapping and Modeling on Fogera Flood Plain A Case Study of Ribb River
    (Addis Ababa University, 2011-06) Abera, Zelalem; Hailu, Dereje (PhD)
    Flood occurs repeatedly in Ethiopia and cause tremendous losses in terms of property and life, particularly in the lowland areas. The majority of flood disasters’ victims are poor people living in nearby stretch of floodplain. Therefore, the study was carried out to perform floodplain analysis and risk assessment of Fogera and nearby areas. This research involves the integration of HEC-Hydrologic Modeling System (HECHMS) and HEC-River Analysis System (HEC-RAS) with Geographic Information Systems (GIS) to develop a regional model for floodplain determination and representation. The study describes the flood extent and depth in the area for different flow conditions derived from the historical flow data of the Ribb River. The hydrologic model is calibrated using HEC-HMS for hourly time series data for return periods of 2, 10, 50 and 100 years. The value derived by the hourly data of the HEC-HMS is compared with different frequency analysis methods. One dimensional hydraulic model HEC-RAS with HEC-GeoRAS interface in co-ordination with ArcGIS was applied for the analysis. Triangulated Irregular Network (TIN) was prepared from shape file generated from spot elevations of the floodplain through field survey data and the DEM of the study area in ArcGIS. Required data sets as stream centerline, banks, flow paths and cross sections were prepared in HEC-GeoRAS thus, creating import file and imported in HEC-RAS. In HEC-RAS, boundary condition for downstream were defined. Similarly, flood discharges for different return periods were also inputted and steady flow analysis was done for the results. The result of hydrologic model by HEC-HMS shows a flow value of 91.8m3/s, 202.4 m3/s, 273.1m3/s, and 308.4m3/s for return periods of 2, 10, 50 and 100 respectively. The result was compared with the frequency analysis using event flow values of the Ribb River. According to the food map, the flooded area for the return periods 2, 10, 50 and 100 years are 12.63km2, 18.63km2, 21.31km2 and 22.5km2 respectively. The classification of flood depth area showed most of the flooding area had water depth less than 1.5m. On the other hand 88% of agricultural land, 11.6% of agro-pastoral land and 1.36% River is inundated by the flood.Key words: HEC-HMS, HEC-RAS, TIN, DEM, flood map