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Research On The Production Process Optimization Project Of Ningbo LCM Plant Of QC Company

Posted on:2018-11-01Degree:MasterType:Thesis
Country:ChinaCandidate:T TianFull Text:PDF
GTID:2439330542475715Subject:Project management
Abstract/Summary:PDF Full Text Request
China has become a manufacturing plant in the world,and the market competition is becoming increasingly fierce,especially the survival pressure of the order type production and processing enterprises.With the increase of competitors and the increase of production cost and labor cost,order processing enterprises are facing huge pressure to survive.QC company is a manufacturer with a liquid crystal display panel,LCD panel prices continue to decline,rising labor and raw material costs,and more enterprises to join the LCD panel industry,LCD panel industry competition is more and more big,the profit space more and more small,QC company is facing more and more pressure of competition.Survival of the fittest in natural selection,survival of the fittest,in order to get rid of the survival crisis and development space,QC company to optimize the production process,the implementation of intelligent upgrading,reduce labor costs.This research mainly uses the method of comparative analysis,literature research,case analysis and other methods,the process optimization theory,the theory of lean production,the payback period of the project theory,the optimization of production process of QC company of Ningbo LCM plant were analyzed,and improvement from the factory layout of the development of intelligent logistics system and intelligent production three aspects.The company pointed out that the QC LCM factory in the production process optimization process highlights and experience,put forward the enterprise in the implementation of the production process optimization process,should be combined with the actual situation of their own design optimization scheme,while promoting the automation should be synchronous propulsion intelligent construction,fully considering the flexibility and compatibility of the equipment system,pay attention to people and system synchronization upgrade,give full play to the role of big data,at the same time should be established with a strong execution of the project team.
Keywords/Search Tags:Industry 4.0, Intelligent manufacturing, CPS, Production flow optimization
PDF Full Text Request
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