Skip to main content

New Valid Inequalities for a Multi-echelon Multi-item Lot-Sizing Problem with Returns and Lost Sales

  • Conference paper
  • First Online:
Computational Logistics (ICCL 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 13004))

Included in the following conference series:

Abstract

This work studies a multi-echelon multi-item lot-sizing problem with remanufacturing and lost sales. The problem is formulated as a mixed-integer linear program. A new family of valid inequalities taking advantage of the problem structure is introduced and used in a customized branch-and-cut algorithm. The provided numerical results show that the proposed algorithm outperforms both the generic branch-and-cut algorithm embedded in a standard-alone mathematical solver and a previously published customized branch-and-cut algorithm.

This work was partially funded by the National Agency for Research and Development (ANID)/Scholarship Program/DOCTORADO BECAS CHILE/2018 - 72190160.

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 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
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. Akartunalı, K., Arulselvan, A.: Economic lot-sizing problem with remanufacturing option: complexity and algorithms. In: Pardalos, P.M., Conca, P., Giuffrida, G., Nicosia, G. (eds.) MOD 2016. LNCS, vol. 10122, pp. 132–143. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-51469-7_11

    Chapter  Google Scholar 

  2. Ali, S.A.S., Doostmohammadi, M., Akartunalı, K., van der Meer, R.: A theoretical and computational analysis of lot-sizing in remanufacturing with separate setups. Int. J. Prod. Econ. 203, 276–285 (2018)

    Article  Google Scholar 

  3. Bansal, M.: Facets for single module and multi-module capacitated lot-sizing problems without backlogging. Discret. Appl. Math. 255, 117–141 (2019)

    Article  MathSciNet  Google Scholar 

  4. Brahimi, N., Absi, N., Dauzère-Pérès, S., Nordli, A.: Single-item dynamic lot-sizing problems: an updated survey. Eur. J. Oper. Res. 263(3), 838–863 (2017)

    Article  MathSciNet  Google Scholar 

  5. Cunha, J.O., Konstantaras, I., Melo, R.A., Sifaleras, A.: On multi-item economic lot-sizing with remanufacturing and uncapacitated production. Appl. Math. Model. 50, 772–780 (2017)

    Article  MathSciNet  Google Scholar 

  6. Guan, Y., Ahmed, S., Nemhauser, G.L.: Cutting planes for multistage stochastic integer programs. Oper. Res. 57(2), 287–298 (2009)

    Article  MathSciNet  Google Scholar 

  7. Leung, J.M., Magnanti, T.L., Vachani, R.: Facets and algorithms for capacitated lot sizing. Math. Program. 45(1), 331–359 (1989)

    Article  MathSciNet  Google Scholar 

  8. Loparic, M., Pochet, Y., Wolsey, L.A.: The uncapacitated lot-sizing problem with sales and safety stocks. Math. Program. 89(3), 487–504 (2001)

    Article  MathSciNet  Google Scholar 

  9. Miller, A.J., Nemhauser, G.L., Savelsbergh, M.W.: On the capacitated lot-sizing and continuous 0–1 knapsack polyhedra. Eur. J. Oper. Res. 125(2), 298–315 (2000)

    Article  MathSciNet  Google Scholar 

  10. Pochet, Y., Wolsey, L.A.: Polyhedra for lot-sizing with Wagner–whitin costs. Math. Program. 67(1), 297–323 (1994)

    Article  MathSciNet  Google Scholar 

  11. Pochet, Y., Wolsey, L.A.: Production Planning by Mixed Integer Programming. Springer Science & Business Media (2006). https://doi.org/10.1007/0-387-33477-7

  12. Quezada, F., Gicquel, C., Kedad-Sidhoum, S., Vu, D.Q.: A multi-stage stochastic integer programming approach for a multi-echelon lot-sizing problem with returns and lost sales. Comput. Oper. Res. 116, 104865 (2020)

    Google Scholar 

  13. Retel Helmrich, M.J., Jans, R., van den Heuvel, W., Wagelmans, A.P.: Economic lot-sizing with remanufacturing: complexity and efficient formulations. IIE Trans. 46(1), 67–86 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Franco Quezada .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Quezada, F., Gicquel, C., Kedad-Sidhoum, S. (2021). New Valid Inequalities for a Multi-echelon Multi-item Lot-Sizing Problem with Returns and Lost Sales. In: Mes, M., Lalla-Ruiz, E., Voß, S. (eds) Computational Logistics. ICCL 2021. Lecture Notes in Computer Science(), vol 13004. Springer, Cham. https://doi.org/10.1007/978-3-030-87672-2_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-87672-2_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87671-5

  • Online ISBN: 978-3-030-87672-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics