Skip to main content
SpringerLink
Log in

Metaheuristic for Optimize the India Speed Post Facility Layout Design and Operational Performance Based Sorting Layout Selection Using DEA Method

  • Conference paper
  • First Online:
Intelligent Systems Design and Applications (ISDA 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 941))

Abstract

Adoption of feasible location science is gaining more interest in the field of Facility Layout Design (FLD) problems among working researchers group. Many methods such as MCDM, Heuristics and Intelligent approaches are available to solve the FLD problems. However in reality, finding the feasible facility layout selection is subject to management as well as performances oriented selections. Here in India, speed post mail processing service industry is facing tremendous challenges like tumbling demands due to low production concern, gloomy trend in technology advancement, and fierce private couriers’ competition. Hence, the highly competitive operational performance is of much concern and attention is focused towards the direction of facility location science. This paper aims to examine the challenges of sustainable operational performance oriented layout selection by Data Envelopment Analysis (DEA) and proposes a genetic algorithm (GA) related to intelligent based approach, for finding the optimal total facility layout cost for a hypothetical South Indian speed post service office layout. In this paper, we used multiple-criteria facility layout selection problem using mathematical model generated with Data Envelopment Analysis (DEA).

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

Institutional subscriptions

Similar content being viewed by others

References

  1. Apple, J.M.: Plant Layout and Material Handling. Wiley, New York (1997)

    Google Scholar 

  2. Meller, R.D., Gau, K.Y.: The facility layout problem: recent and emerging trends and perspectives. J. Manuf. Syst. 15(5), 351 (1996)

    Article  Google Scholar 

  3. Holland, J.: Adaptation in Natural and Artificial Systems. MIT Press, Cambridge (1992). ISBN 978-0262581110

    Book  Google Scholar 

  4. Kuo, Y., Yang, T., Huang, G.W.: The use of grey relational analysis in solving multiple attribute decision-making problems. Comput. Ind. Eng. 55(1), 80–93 (2008)

    Article  Google Scholar 

  5. Yang, T., Hung, C.C.: Multiple-attribute decision making methods for plant layout design problem. Rob. Comput.-Integr. Manuf. 23(1), 126–137 (2007)

    Article  Google Scholar 

  6. Yang, T., Kuo, C.: A hierarchical AHP/DEA methodology for the facilities layout design problem. Eur. J. Oper. Res. 147(1), 128–136 (2003)

    Article  Google Scholar 

  7. Despotis, D.K., Stamati, L.V., Smirlis, Y.G.: Data envelopment analysis with nonlinear virtual inputs and outputs. Eur. J. Oper. Res. 202(2), 604–613 (2010)

    Article  MathSciNet  Google Scholar 

  8. Ramanathan, R.: An Introduction to Data Envelopment Analysis: a Tool for Performance Measurement. Sage publications Ltd., New Delhi (2003)

    Google Scholar 

  9. Dobos, I., Vörösmarty, G.: Supplier selection and evaluation decision considering environmental aspects 149 (2012). ISSN 1786-3031

    Google Scholar 

  10. Talluri, S.: Data envelopment analysis: models and extensions. Decis. Line 31(3), 8–11 (2000)

    Google Scholar 

  11. Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2(6), 429–444 (1978)

    Article  MathSciNet  Google Scholar 

  12. India Post Service. https://www.thehindu.com/news/cities/Mangalore/mangalore-first-in-handling-speed-post/article4228987.ece. Accessed 21 July 2018

  13. Vadivel, S.M., Sequeira, A.H.: Enhancing the operational performance of mail processing facility layout selection using multi - criteria decision making methods. Int. J. Serv. Oper. Manag. (2018). Accepted 28 July 2018. https://doi.org/10.1504/IJSOM.2020.10018620

    Article  Google Scholar 

  14. Hu, M.H., Wang, M.J.: Using genetic algorithms on facilities layout problems. Int. J. Adv. Manuf. Technol. 23(3–4), 301–310 (2004)

    Article  Google Scholar 

  15. Rajasekharan, M., Peters, B.A., Yang, T.: A genetic algorithm for facility layout design in flexible manufacturing systems. Int. J. Prod. Res. 36(1), 95–110 (1998)

    Article  Google Scholar 

  16. Paes, F.G., Pessoa, A.A., Vidal, T.: A hybrid genetic algorithm with decomposition phases for the unequal area facility layout problem. Eur. J. Oper. Res. 256(3), 742–756 (2017)

    Article  MathSciNet  Google Scholar 

  17. Jauhar, S.K., Pant, M., Abraham, A.: A novel approach for sustainable supplier selection using differential evolution: a case on pulp and paper industry. In: Intelligent Data analysis and its Applications, Volume II, pp. 105–117. Springer, Cham (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Management, National Institute of Technology Karnataka, Surathkal, 575025, India

    S. M. Vadivel & A. H. Sequeira

  2. Global Management Studies, Ted Rogers School of Management, Ryerson University, Toronto, ON, Canada

    Sunil Kumar Jauhar

  3. Department of Industrial Engineering, Universidad Católica del Norte, Antofagasta, Chile

    Sunil Kumar Jauhar

Authors
  1. S. M. Vadivel
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. H. Sequeira
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sunil Kumar Jauhar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. M. Vadivel .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vadivel, S.M., Sequeira, A.H., Jauhar, S.K. (2020). Metaheuristic for Optimize the India Speed Post Facility Layout Design and Operational Performance Based Sorting Layout Selection Using DEA Method. In: Abraham, A., Cherukuri, A., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-16660-1_101

Download citation

Publish with us

Policies and ethics

Search

Navigation