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Research On Optimization And Simulation On Manual Mixed-Flow Assembly Line Of Infusion Set

Posted on:2017-03-04Degree:MasterType:Thesis
Country:ChinaCandidate:J W LiFull Text:PDF
GTID:2272330485951705Subject:Industrial engineering
Abstract/Summary:PDF Full Text Request
With the continuous development and change of the market economy, the consumers are not just satisfied with the functionality of the products. They pay more attention to the diversification of products. The single species of large quantities of production mode in the past has not adapted to current market environment. In order to improve their core competitiveness, enterprises will launch more personalized products according to the needs of consu mers. This requires enterprises to import the management thought of lean production, transform into a variety of small batch productionn and build the flexible production line in the process of product manufacturing. For assembly-type products, because the assembly process will occupy a large amount of manpower and time cost, the design and improvement of assembly line can save a lot of cost for the enterprise and improve the production efficiency of the product effectively. In this paper, it combined with the actual production situation of manual mixed flow assembly line of the special infusion set factory and took to improve the assembly process. For the improvement of assembly process, on one hand, we need to analyze every step of the assembly process and set up the standard operating. On the other hand, we need to put enhancing the efficiency, improving the assembly line balance rate, reducing WIP and shortening assembly cycle as targets to optimize the overall scope.Based on the theory of industrial engineering method, system modeling simulation, Petri-Net and single piece flow production mode, this paper took the manual mixed flow assembly line of infusion set manufacturing workshop as the object of research, to optimize and improve the mixed-flow assembly line. The specific content of the paper includes the following three parts:(1) Took practice in special infusion set factory of W company and took practical investigation for production situation; Understood the current situation of manual mixed flow assembly line and proposed improvement analysis. Took to optimize for the main bottleneck station of the assembly line and analyzed the line balance of assembly line.(2) Aiming at the problems in mixed flow assembly line, such as the low line balance rate, the low assembly efficiency and too much WIP, the paper took to simulate and optimize on the assembly process of the three main products of mixed flow assembly line with the method of system simulation based on Witness simulation software. At first, constructed t he Petri net model of the three products to described the assembly process of these and constructed the Witness initial model. On this basis, analysed and recombined stations by the method of IE and verified the effectiveness of the program by running Witness simulation software. Simulated each program based on production sequence and chose the best one.(3) On the basis of ensuring the best station combination and production sequence, this paper designed the mixed flow assembly line based on one piece flow. Changed the layout of assembly lines and the batch of parts, determined the standard operating time for one piece flow. Made simulate to U-shaped one-piece flow production by Witness simulation software.Through using improvement methods of industrial engine ering and lean production, this paper took to improve and optimize the assembly line of infusion set, established standard operation and the assembly line balance got improved significantly in assembly efficiency, line rate, WIP number and cycle time and proved effectiveness on the improvement of mixed flow assembly line in this paper. It provided a certain theoretical and practical basis for the improvement of assembly line for the same industry.
Keywords/Search Tags:Mixed-Flow Assembly Line, Petri Net, Simulation, One piece flow
PDF Full Text Request
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