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Value Stream Mapping Analysis Base On T’s Lean Process Improvement Study

Posted on:2017-04-07Degree:MasterType:Thesis
Country:ChinaCandidate:J PengFull Text:PDF
GTID:2309330482974026Subject:Business administration
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T is a company in the world of scientific research, medical, pharmaceutical, environmental, life sciences, food security, industrial, and other fields to provide diversified instruments manufacturer. With the influence of the global market economy in recent years, more and more alternative products in China market, and the competition for advantage is gradually revealed. The production process is vital part of a manufacturing enterprise, it is related to the final product quality, delivery time, cost, etc. In order to maintain the good competitive in the tough market, similar to the T company’s manufacturing enterprises need to combined with the current economic environment and technology level, constantly optimize the production process and improvement.Based on the T company as a case, using the lean thinking, value stream mapping analysis technology, selection of T company MD product line for the production and processing process improvement. First of all, through the analysis of T company MD product present situation and the problems existing in the production line, according to the actual data collection, mapping the value stream status; Secondly, from the eight waste of lean production, combined with the value stream map analysis method to find out the value-added information flow, select the production process improvement opportunities, mapping the value stream in the future; Finally, in view of these improvements points given production process improvement and optimization, to help eliminate T company more hidden waste, reduce production cost, shorten delivery cycle, improve production efficiency and product quality of lean production targets, the T company maintain its leading position in the same industry competition in the global market.
Keywords/Search Tags:Lean production, Value stream mapping analysis, Production process improvement, Eight waste
PDF Full Text Request
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