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Optimization of Production System Based on Value Stream Mapping

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  • First Online:
LISS 2014

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Abstract

With rapid changes of market environment, it is very important for manufacturing enterprises to shorten production cycle time to respond to customers’ requirements quickly. Through an investigation for the production processes of SM6 series products in M electric equipment manufacturing enterprise, the authors use value stream map and other lean concepts and techniques to identify and eliminate hidden wastes during the whole production process. Finally, we achieve pull mode of production, shorten production cycle, reduce inventory, and save manpower.

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References

  • Hines P, Rich N (1997) The seven value stream mapping tools. Int J Oper Prod Manage 17:46–64

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  • Pan GQ, Feng DZ, Jiang MX (2010) Application research of shortening delivery time through value stream mapping analysis. 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management (IE&EM2010), Macau, pp 733–736

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Author information

Authors and Affiliations

  1. School of Economics and Management, Beijing Jiaotong University, 100044, Beijing, China

    Yanli Chen, Chunfang Guo & Liang Li

Authors
  1. Yanli Chen
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  2. Chunfang Guo
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  3. Liang Li
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Corresponding author

Correspondence to Yanli Chen .

Editor information

Editors and Affiliations

  1. School of Economics and Management, Beijing Jiaotong University, Beijing, Beijing, China

    Zhenji Zhang

  2. Department of Industrial Engineering and Operations Research, University of California, Berkeley, California, USA

    Zuojun Max Shen

  3. School of Economics and Management, Beijing Jiaotong University, Beijing, China

    Juliang Zhang

  4. School of Economics and Management, Beijing Jiaotong University, Beijing, Beijing, China

    Runtong Zhang

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© 2015 Springer-Verlag Berlin Heidelberg

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Chen, Y., Guo, C., Li, L. (2015). Optimization of Production System Based on Value Stream Mapping. In: Zhang, Z., Shen, Z., Zhang, J., Zhang, R. (eds) LISS 2014. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43871-8_175

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