Skip to main content

A “Push-Pull” Workshop Logistics Distribution Under Single Piece and Small-Lot Production Mode

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13395))

Abstract

According to the principle of lean logistics, this paper analyzes the applicability of the typical logistics distribution mode in the typical scenario of material distribution in the machining workshop under the single-piece and small-batch production mode. For the deficiency of single logistics distribution mode, a “push-pull” workshop logistics distribution mode is proposed on the comprehensive consideration of the demand generation strategy and the actual execution strategy. A digital workshop model is established for a case workshop with Plant Simulation, and the case is verified. In terms of delivery timeliness, delivery flexibility, WIP inventory and input/output buffer requirements, the experimental results show that the distribution model is effective in the logistics distribution scenario of machining shop under single piece and small-lot production mode.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Tang, M.: Research on Workshop Logistics Distribution Method Based on Lean Production. Harbin Institute of Technology, 31–61 (2016)

    Google Scholar 

  2. Zhang, Y., Liang, P., Xu, J., Pei, D.: Material push-pull distribution strategy in complex assembly workshop. J. Hebei United Univ. (Nat. Sci. Ed.) 36(03), 66–71 (2014)

    Google Scholar 

  3. Zheng, L.: Research on Agile Production Management Technology of Mixed-flow Assembly Line based on Intelligent Objects. Chongqing University, 83–102(2010)

    Google Scholar 

  4. Guan, Z., Wang, B., Mu, Y., et al.: Simulation based logistics distribution planning and analysis for an assembly line of engineering machinery products. Appl. Mech. Mater. 372, 635–640 (2013)

    Article  Google Scholar 

  5. Jiang, L., Wang, H.: Research on workstation-oriented production logistics optimization of chinese discrete manufacturing enterprises. Adv. Mater. Res. 834–836, 1751–1757 (2014)

    Google Scholar 

  6. Li, A., Zhang, Y., Guo, H., et al.: Optimization method for material scheduling station group division in mixed-flow assembly line workshop. J. Tongji Univ. (Nat. Sci. Ed.) 45(08), 1191–1197 (2017)

    Google Scholar 

  7. Hu, Y., Hu, Y.: Main challenges faced by JIS logistics technology in the practice of automobile manufacturing. Logist. Eng. Manag. 37(03), 94–96 (2015)

    Google Scholar 

  8. Sali, M., Sahin, E.: Line feeding optimization for just in time assembly lines: an application to the automotive industry. Int. J. Product. Econ. 174, 54–67 (2016)

    Google Scholar 

  9. Zhang, L., Liu, W., Cheng, J., et al.: On-time material distribution method for satellite assembly digital twin workshop. Comput. Integr. Manufact. Syst. 26(11), 2897–2914 (2020)

    Google Scholar 

  10. Korytkowski, P., Karkoszka, R.: Simulation-based efficiency analysis of an in-plant milk-run operator under disturbances. Int. J. Adv. Manufact. Technol. 82(5), 827–837 (2016)

    Article  Google Scholar 

  11. Saidin, W., Musa, M.A., Kassim, N.I., et al.: Design method of kitting system in flexible assembly line based manufacturing for mass customisation adaptation. Adv. Mater. Res. 3888 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hao Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xu, M., Zhang, H., Wang, X., Lu, J. (2022). A “Push-Pull” Workshop Logistics Distribution Under Single Piece and Small-Lot Production Mode. In: Huang, DS., Jo, KH., Jing, J., Premaratne, P., Bevilacqua, V., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2022. Lecture Notes in Computer Science(), vol 13395. Springer, Cham. https://doi.org/10.1007/978-3-031-13832-4_66

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-13832-4_66

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13831-7

  • Online ISBN: 978-3-031-13832-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics