Skip to main content
SpringerLink
Log in

Layout adjustment of cellular production line based on material logistic analysis

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

In cellular production line (CPL), inter-cell machining and transportation of “exception” parts may lead to equipment sharing, logistic, and process route inter-crossing. More attention paid to such special problems can greatly help solve cellular layout. Based on material logistic analysis, some key technologies orienting CPL layout are studied from the viewpoint of application: (1) material logistic patterns of CPL are modularized, (2) statistic of logistic flow rate on main transportation channels and between machines is presented, and (3) measures of layout adjustment including equipment adding, equipment substituting, equipment sharing, and cell adjustment under the general objective of minimizing logistic cost are analyzed. A numerical example is given, and guiding results for CPL layout are summarized.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Zhou YB, Li ZH, Dai T, Zhong YF (2002) Modelling and solution for layout design in cellular manufacturing system. Huazhong Univ of Sci & Tech (Nat Sc Ed) 30(1):65–67

    Google Scholar 

  2. Andre S (2006) Cellular manufacturing system application on redesign production layout with using heuristics algorithm. In: 2006 IEEE International Conference on Management of Innovation and Technology: 940–944

  3. Pillai VM, Hunagunda IB, Krishnan KK (2011) Design of robust layout for Dynamic Plant Layout Problems. Comput Ind Eng 61(3):813–823

    Article  Google Scholar 

  4. Kia R, Baboli A, Javadian N, Tavakkoli-Moghaddam R, Kazemi M, Khorrami J (2012) Solving a group layout design model of a dynamic cellular manufacturing system with alternative process routings, lot splitting and flexible reconfiguration by simulated annealing. Comput Oper Res 39(11):2642–2658

    Article  MathSciNet  MATH  Google Scholar 

  5. Krishnan KK, Mirzaei S, Venkatasamy V, Pillai VM (2012) A comprehensive approach to facility layout design and cell formation. Int J Adv Manuf Technol 59(5–8):737–753

    Article  Google Scholar 

  6. Arkat J, Farahani MH, Hosseini L (2012) Integrating cell formation with cellular layout and operations scheduling. Int J Adv Manuf Technol 61(5–8):637–647

    Article  Google Scholar 

  7. Sheng BH, Luo ZB, Yu SM, Zhao XB, Zhao HL, Zhang JM, Zhang WH (2001) The design and application of reconfigurable manufacturing systems. Ind Eng and Manag 1:16–21

    Google Scholar 

  8. Junjae C, Brett A (2006) A simulated annealing algorithm based on a closed loop layout for facility layout design in flexible manufacturing systems. Int J Prod Res 44(13):2561–2572

    Article  MATH  Google Scholar 

  9. Wu Y, Appleton E (2002) Integrated design of the block layout and aisle structure by simulated annealing. Int J Prod Res 40(10):2353–2365

    Article  MATH  Google Scholar 

  10. Lai JL, Zhang SY, Tan JR, Yi GD (2009) Unitization modeling of runner layout in multi-cavity mould. J of Zhejiang Univ (Eng Sci) 43(1):36–41

    Google Scholar 

  11. Solimanpur M, Vrat P, Shankar R (2004) Ant colony optimization algorithm to the inter-cell layout problem in cellular manufacturing. Eur J Oper Res 157(592):606

    MathSciNet  MATH  Google Scholar 

  12. Sadam KK (2007) Approaches to uncertainties in facility layout problems: perspectives at the beginning of the 21st century. J Intell Manuf 18:273–284

    Article  Google Scholar 

  13. Sahni S, Gonzalez T (1976) P-Complete Approximation Problem. J of Assoc Comp Machinary 23:555–565

    Article  MathSciNet  MATH  Google Scholar 

  14. Huawei C, Aimin W, Ruxin N (2012) Formation of mixed configuration cell based on product demand prediction. Int J Adv Manuf Technol. doi:10.1007/s00170-012-4336-4

Download references

Author information

Authors and Affiliations

  1. School of Mechatronics Engineering, Nanchang University, Nanchang, China

    Chen Huawei, Liu Guoping & Tu Haining

  2. School of Mechanical Vehicular Engineering, Beijing Institute of Technology, Beijing, China

    Wang Aimin & Ning Ruxin

Authors
  1. Chen Huawei
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Liu Guoping
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tu Haining
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Wang Aimin
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Ning Ruxin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chen Huawei.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Huawei, C., Guoping, L., Haining, T. et al. Layout adjustment of cellular production line based on material logistic analysis. Int J Adv Manuf Technol 87, 1409–1420 (2016). https://doi.org/10.1007/s00170-013-4784-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-013-4784-5

Keywords

Search

Navigation