Skip to main content

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 630))

  • 3353 Accesses

Abstract

In this paper a closed loop supply chain for a reusable, deteriorating tool is presented. The tool is used in a manufacturing process on an item in a linear supply chain. A model is created for the linear item supply chain and the tools closed loop supply chain to analyse the interactions between them and various input parameters so that output responses of the system can be modelled. Three approaches are taken to model the system, a brute force factorial design, a modified version of a Latin hypercube space filling design, and a fast flexible space filling design. It is found that all three methods can describe responses that require only a few inputs well but cannot accurately predict more complex responses without all the relevant factors. Space filling designs should be used if more factors are needed as they minimise the total amount of simulations needed to produce an accurate model.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover 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. Ben Ali, M., D’Amours, S., Gaudreault, J., Carle, M.A.: Configuration and evaluation of an integrated demand management process using a space-filling design and Kriging metamodeling. Oper. Res. Perspect. 5, 45–58 (2018). https://doi.org/10.1016/j.orp.2018.01.002

    Article  Google Scholar 

  2. Carrasco-Gallego, R., Ponce-Cueto, E., Dekker, R.: Closed-loop supply chains of reusable articles: a typology grounded on case studies. Int. J. Prod. Res. 50(19), 5582–5596 (2012). https://doi.org/10.1080/00207543.2011.649861

    Article  Google Scholar 

  3. Chen, Q., et al.: Supply adequacy assessment of the gas pipeline system based on the Latin hypercube sampling method under random demand. J. Nat. Gas Sci. Eng. 71(July), 102965 (2019). https://doi.org/10.1016/j.jngse.2019.102965

    Article  Google Scholar 

  4. Crombecq, K., Laermans, E., Dhaene, T.: Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling. Eur. J. Oper. Res. 214(3), 683–696 (2011). https://doi.org/10.1016/j.ejor.2011.05.032

    Article  Google Scholar 

  5. Haerling (Adamson), K., Prion, S.: Two-by-two factorial design. Clin. Simul. Nurs. 49, 90–91 (2020). https://doi.org/10.1016/j.ecns.2020.06.004

  6. Helbing, D., Treiber, M., Kesting, A.: Understanding interarrival and interdeparture time statistics from interactions in queuing systems. Phys. A 363(1), 62–72 (2006). https://doi.org/10.1016/j.physa.2006.01.048

    Article  Google Scholar 

  7. Lauvernet, C., Helbert, C.: Metamodeling methods that incorporate qualitative variables for improved design of vegetative filter strips. Reliab. Eng. Syst. Saf. 204(February 2019), 107083 (2020). https://doi.org/10.1016/j.ress.2020.107083

  8. Mastos, T.D., et al.: Introducing an application of an industry 4.0 solution for circular supply chain management. Sci. Total Environ. 135907 (2019). https://doi.org/10.1016/j.jclepro.2021.126886

  9. Moubed, M., Boroumandzad, Y., Nadizadeh, A.: A dynamic model for deteriorating products in a closed-loop supply chain. Simul. Model. Pract. Theory 108, 102269 (2021). https://doi.org/10.1016/j.simpat.2021.102269

    Article  Google Scholar 

  10. Singh, S.R., Saxena, N.: A closed loop supply chain system with flexible manufacturing and reverse logistics operation under shortages for deteriorating items. Procedia Technol. 10, 330–339 (2013). https://doi.org/10.1016/j.protcy.2013.12.368

    Article  Google Scholar 

  11. Trietsch, D., Mazmanyan, L., Gevorgyan, L., Baker, K.R.: Modeling activity times by the Parkinson distribution with a lognormal core: theory and validation. Eur. J. Oper. Res. 216(2), 386–396 (2012). https://doi.org/10.1016/j.ejor.2011.07.054

    Article  MathSciNet  Google Scholar 

  12. Wang, X., Han, C., Yang, P., Sun, X.: Onboard satellite visibility prediction using metamodeling based framework. Aerosp. Sci. Technol. 94, 105377 (2019). https://doi.org/10.1016/j.ast.2019.105377

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to John Geraghty .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Glennane, E., Geraghty, J. (2021). Metamodeling of Deteriorating Reusable Articles in a Closed Loop Supply Chain. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 630. Springer, Cham. https://doi.org/10.1007/978-3-030-85874-2_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-85874-2_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85873-5

  • Online ISBN: 978-3-030-85874-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics