Zerihun, Tewodros (2017) Application of Cellular Manufacturing in Metal Engineering Cooperation Akaki Basic Metal Industry. Masters thesis, Addis Ababa University.
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Abstract
Ethiopia has a comparative advantage in manufacturing producing industry but different reports showed this manufacturing sector in country adds little value on the nation‟s development compared to other sectors.Metal Engineering Corporation ABMI is one of the heavy leader local manufacturing industries they are greatly affected by lacks of competitiveness both in domestic and international market due to due to multi-products or high level of product variety of cell manufacturing management, low capacity utilization machines, Low productivity, high Work flow distance, high material handling cost, poor product quality, obsolete technology and machinery. Therefore, manufacturing industries should constantly search for manufacturing methods and to alleviate this problem Cellular Manufacturing (CM) philosophy is used for improving its production. CM is an application of group technology (GT) in which similar parts is identified and grouped together to take advantage of their similarities in design and production. The main purpose of the research is to implement a Cellular Manufacturing approach in ABMI factory. After the necessary data and information was collected from the factory an important steps of design a (CM) system is identified that is Cell formation (CF) and Cellular layout. CF is one of the crucial steps and its main objective is to group machines- parts into cells to develop this two Array- Based Clustering Methods are proposing that is Rank Order Clustering (ROC) and Direct Clustering Algorithm (DCA) using developed MATLAB Code Also Grouping Efficacy (GE), Group Efficiency (GC) and Exceptional Element (EE) is considered as comparison and evaluation performance measure of CF. Then after CF developed the final Step is Cellular layout is developed. As a result, from the evaluation performance measure of CF approach, ROC method is selected and Arena software is also used to model and simulate the newly developed machine cells. In the newly cell developed approach the distance traveled and material handling cost will be reduced by an average percentage of 51.7%, Material Movement by the parts during manufacturing will reduce by an average percentage of 16.68%, productivity will improve 11.1% and average Machine Utilization is improved 15.55%.
Item Type: | Thesis (Masters) |
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Uncontrolled Keywords: | Manufacturing industry, Cellular Manufacturing (CM), Cell Formation (CF), Rank Order Clustering (ROC), Direct Clustering Algorithm (DCA), and Cellular Layout. |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery |
Divisions: | Africana |
Depositing User: | Andriamparany Edilbert RANOARIVONY |
Date Deposited: | 25 Oct 2018 06:53 |
Last Modified: | 25 Oct 2018 06:53 |
URI: | http://thesisbank.jhia.ac.ke/id/eprint/7026 |
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