Skip to main content
SpringerLink
Log in

Modeling Stochastic Dynamic Facility Layout Using Hybrid Fireworks Algorithm and Chaotic Simulated Annealing: A Case of Indian Garment Industry

  • Conference paper
  • First Online:
Advanced Computing and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 562))

  • 607 Accesses

Abstract

Layout of manufacturing industries is affected by uncertainties such as seasonality, product variation, machine breakdown and other sociopolitical challenges. These uncertainties highly impact the productivity, inventory cost, delivery time, performance quality, and customer satisfaction. To efficiently design the layout considering these uncertainties, it is modeled as Stochastic Dynamic Facility Layout Problem (SDFLP). In this paper, a case of garment manufacturing industry is discussed and solved as a SDFLP. A hybrid Firefly Algorithm (FA) and Chaotic Simulated Annealing (CSA) are used to optimally design layout for the garment manufacturing unit. It is found that the proposed layout is better than the existing layouts.

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

Access this chapter

Log in via an institution
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

References

  1. Tompkins, J.A., White, J.A., Tanchoco, J.M.A.: Facilities Planning. Willey, New York (2003)

    Google Scholar 

  2. Rosenblatt, M.J., Kropp, D.H.: The single period stochastic plan layout problem. IIE Trans. 24(2), 169–176 (1992)

    Article  Google Scholar 

  3. Braglia, M., Zanoni, S., Zavanella, L.: Layout design in dynamic environments: strategies and quantitative indices. Inte. J. Prod. Res. 41(5), 995–1016 (2003)

    Article  MATH  Google Scholar 

  4. Kulturel-Konak, S., Smith, A.E., Norman, B.A.: Layout optimization considering production uncertainty and routing flexibility. Int. J. Prod. Res. 42(21), 4475–4493 (2004)

    Article  MATH  Google Scholar 

  5. Singh, S.P., Sharma, R.R.K.: A review of different approaches to the facility layout problem. Int. J. Adv. Manuf. Technol. 30(5–6), 425–433 (2006)

    Article  Google Scholar 

  6. Singh, S.P., Sharma, R.R.K.: Two level simulated annealing based approach to solve facility layout problem. Int. J. Prod. Res. 46(13), 3563–3582 (2008)

    Article  MATH  Google Scholar 

  7. Moslemipour, G., Lee, T.S.: Intelligent design of a dynamic machine layout in uncertain environment of flexible manufacturing systems. J. Intell. Manuf. 23(5), 1849–1860 (2011)

    Article  Google Scholar 

  8. Matai, R., Singh, S.P., Mittal, M.L.: Modified simulated annealing based approach for multi objective facility layout problem. Int. J. Prod. Res. 51(14), 4273–4288 (2013)

    Article  Google Scholar 

  9. Matai, R., Singh, S.P., Mittal, M.L.: A new heuristic for solving facility layout problem. Int. J. Adv. Oper. Manag. 5(2), 137–158 (2013)

    Google Scholar 

  10. Tayal, A., Singh, S.P.: Chaotic simulated annealing for solving stochastic dynamic facility layout problem. Int. J. Manag. Stud. 14(2), 67–74 (2014)

    Article  Google Scholar 

  11. Tayal, A., Singh, S.P.: Integrated SA-DEA-TOPSIS based solution approach for multi objective stochastic dynamic facility layout problem. Int. J. Bus. Syst. Res. (Accepted) (2016)

    Google Scholar 

  12. Tayal, A., Singh, S.P.: Analysis of simulated annealing cooling schemas for design of optimal flexible layout under uncertain dynamic product demand. Int. J. Oper. Res. (in press) (2016)

    Google Scholar 

  13. Tayal, A., Singh, S.P.: Designing flexible stochastic dynamic Layout: An integrated firefly and chaotic simulated annealing based approach. Int. J. Flex. Syst. Manag. (Accepted and available online) (2016)

    Google Scholar 

  14. Tayal, A., Singh, S.P.: Analysing the effect of chaos functions in solving stochastic dynamic facility layout problem using CSA. Advances in Intelligent Systems and Computing, 99–108. Springer, Singapore (2016)

    Google Scholar 

  15. Mingjun, J., Huanwen, T.: Application of chaos in simulated annealing. Chaos, Solitons Fractals 21, 933–941 (2004)

    Article  MATH  Google Scholar 

  16. Yang, X.S.: Firefly algorithms for multimodal optimization. Stochastic Algorithms: Foundations and Applications, pp. 169–178. Springer, Berlin (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Indira Gandhi Delhi Technical University for Women, Delhi, India

    Akash Tayal

  2. Department of Management Studies, Indian Institute of Technology Delhi, New Delhi, India

    Surya Prakash Singh

Authors
  1. Akash Tayal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Surya Prakash Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Akash Tayal .

Editor information

Editors and Affiliations

  1. Asia Pacific Institute of Information Technology, Panipat, Haryana, India

    Ramesh K. Choudhary

  2. Department of Computer Science and Engineering, Faculty of Engineering, Technology and Management, Kalyani University, Kalyani, West Bengal, India

    Jyotsna Kumar Mandal

  3. Computational Science Division, Saha Institute of Nuclear Physics, Kolkata, West Bengal, India

    Dhananjay Bhattacharyya

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper

Tayal, A., Singh, S.P. (2018). Modeling Stochastic Dynamic Facility Layout Using Hybrid Fireworks Algorithm and Chaotic Simulated Annealing: A Case of Indian Garment Industry. In: Choudhary, R., Mandal, J., Bhattacharyya, D. (eds) Advanced Computing and Communication Technologies. Advances in Intelligent Systems and Computing, vol 562. Springer, Singapore. https://doi.org/10.1007/978-981-10-4603-2_4

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-4603-2_4

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4602-5

  • Online ISBN: 978-981-10-4603-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation