Analyzing Supply Chain Integrations and its Performances Metrics to Enhance Productivity Case Company: Five Food Complex Industries around Addis Ababa
| dc.contributor.advisor | Gulelat, Gatew (PhD) | |
| dc.contributor.author | Getu, Abdisa | |
| dc.date.accessioned | 2021-09-15T09:18:36Z | |
| dc.date.accessioned | 2023-11-18T06:26:46Z | |
| dc.date.available | 2021-09-15T09:18:36Z | |
| dc.date.available | 2023-11-18T06:26:46Z | |
| dc.date.issued | 2021-06 | |
| dc.description.abstract | To be competitive domestically & across the globe, coordinating various SC functional departments and inter-flows of its activities‟ integrations need to be synchronized. SCPM is activity to quantify efficiency, effectiveness, and resource utilization of SC operations‟ current case industries that resulted from poor SCIs. The major case firms‟ problems were lack of SC coordination, like suppliers, poor inter-flows of resources within SC functional - departments, resources utilization, and poor cost opportunities. To address these problems, case firms need management & resources utilization philosophy to be a success. Pre-dominantly, the objective of this study was to analyze SCI & SCPM to enhance overall SC productivity. In Literature Review, general concepts of SCI, SCPMs & their type, various tools, models, addressed areas by former scholars, and gaps such as the SCOR model used solely, improvement management tools not extensively incorporated in materials. However, the researcher merged it with a tool like MLAC & QMS relevant tool to make the analysis comprehensive. Research framework, data type & method of collection (questionnaires, structured &semi-structured interviews, and discussions, review SC operations‟ reports) have been used. Relevant data analysis tools such as a combination of MS-excel solver & IBM 24 SPSS software, and efficiencies, downtime, and cost opportunity analysis were used. Having these, key SCI such as 10.1%, 57.8%, 30.8% (CIWS), 19.9%, 52.6, 21.4 % (SCIOI) and 16.5%, 51.4%, 26.6% (SCII) as low, medium and high respectively. This weak SC coordination resulted SCPM as 21.4%, 50.0%, 22.9% (response time), 19.7%, 36.6%, 38.1% (quality aspects) as low, medium and high from questioner analysis. Correlation and regression analysis have been examined to define the impacts of one variable on others. And also, cost utilization was 29% (PE),18%(AE), 43%(IFE), and 11%(EFE) respectively while, efficiency as 68.4%, 69.6%,77.3%, 68.9% and 70.4% (Figure 5:18) and SC operations downtime more than 19.5% that can affect overall SC productivity. A possible solution has been proposed via corrective measurements & implementation guideline models through SCOR-model, MLAC & QMS relevant tools to address the aim of the study. So, SC productivity of the case firms and similar companies can be enhanced after the proposed solution is wisely institutionalized. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/27900 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | supply chain | en_US |
| dc.subject | integrating supply chain | en_US |
| dc.subject | supply chain performance | en_US |
| dc.subject | supply chain productivity | en_US |
| dc.title | Analyzing Supply Chain Integrations and its Performances Metrics to Enhance Productivity Case Company: Five Food Complex Industries around Addis Ababa | en_US |
| dc.type | Thesis | en_US |