Skip to main content
SpringerLink
Log in

Two-Warehouse Reverse Logistic Inventory Model for Deteriorating Item under Learning Effect

  • Conference paper
  • First Online:
Proceedings of Fourth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 335))

Abstract

Sustainability of environment requires more concentration on reverse logistics. Keeping this in mind, in this article, we have developed a two-warehouse reverse logistic model with finite rate of production and remanufacturing. A forward and reverse supply chain is considered for deteriorating items. During different cycles, remanufactured and fresh products are stored in owned warehouse (OW) which has limited storage space. For the excess amount, supplier hire rented warehouse (RW) at a high cost of holding than the holding cost of OW. Main objective of this study is to find optimal value of total relevant cost. Numerical illustration and sensitivity analysis is given at the end of this paper.

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. Schrady, D.A.: A deterministic inventory model for repairable items. Naval Res. Logistics Q. 14(3), 391–398 (1967)

    Article  Google Scholar 

  2. Nahmias, S., Rivera, H.: A deterministic model for repairable item inventory system with finite repair rate. Int. J. Prod. Res. 17(3), 215–221 (1979)

    Article  Google Scholar 

  3. Fleischmann, M., Bloemhof-Ruwaard, J.M., Dekker, R., Van Der Laan, E., Van Nunen, J.A.E.E., Van Wassenhove, L.N.: Quantitative models for reverse logistics: a review. Eur. J. Oper. Res. 103(1), 1–17 (1997)

    Article  MATH  Google Scholar 

  4. El Saadany, A.M.A., Jaber, M.Y.: A production/remanufacturing inventory model with price and quality dependent return rate. Comput. Ind. Eng. 58(3), 352–362 (2010)

    Article  Google Scholar 

  5. Alamri, A.A.: Theory and methodology on the global optimal solution to a general reverse logistics inventory model for deteriorating items and time varying rates. Comput. Ind. Eng. 60(2), 236–247 (2010)

    Article  Google Scholar 

  6. Singh, S.R., Saxena, N.: An optimal returned policy for a reverse logistics inventory model with backorders. Adv. Decis. Sci. Article ID 386598, 21 (2012)

    Google Scholar 

  7. Singh, S.R., Prasher, L., Saxena, N.: A centralized reverse channel structure with flexible manufacturing under the stock out situation. Int. J. Ind. Eng. Comput. 4, 559–570 (2013)

    Google Scholar 

  8. 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)

    Article  Google Scholar 

  9. Singh, S.R., Saxena, N.: An integrated inventory model with remanufacturing of secondary material under shortages. In: Proceedings of 3rd International Conference on Recent Trends in Engineering & Technology, pp. 354–359. Elsevier, India (2014)

    Google Scholar 

  10. Hartley, R.V.: Operations Research—A Managerial Emphasis. Good Year Publishing Company, Culver City (1976)

    Google Scholar 

  11. Sarma, K.V.S.: A deterministic order level inventory model for deteriorating items with two storage facilities. Eur. J. Oper. Res. 29, 70–73 (1987)

    Article  MATH  MathSciNet  Google Scholar 

  12. Kumari, R., Singh, S.R., Kumar, N.: Two-warehouse inventory model for deteriorating items with partial backlogging under the conditions of permissible delay in payments. Int. Trans. Math. Sci. Comput. 1(1), 123–134 (2008)

    Google Scholar 

  13. Singh, S.R., Rathore, H., Saxena, N.: A two warehouse inventory model for deteriorating items with shortages under inflationary environment. In: Proceedings of 3rd International Conference on Recent Trends in Engineering & Technology, pp. 385–391. Elsevier, India (2014)

    Google Scholar 

  14. Chiu, H.N., Chen, H.M.: An optimal algorithm for solving the dynamic lot-sizing model with learning and forgetting in setups and production. Int. J. Prod. Econ. 95(2), 179–193 (2005)

    Article  Google Scholar 

  15. Kuo, W.-H., Yang, D.-L.: Minimizing the total completion time in a single-machine scheduling problem with a time-dependent learning effect. Eur. J. Oper. Res. 174(2), 1184–1190 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  16. Jaber, M.Y., Goyal, S.K., Imran, M.: Economic production quantity model for items with imperfect quality subject to learning effects. Int. J. Prod. Econ. 115, 143–150 (2008)

    Article  Google Scholar 

  17. Singh, S.R., Jain, S., Pareek, S.: An imperfect quality items with learning and inflation under two limited storage capacity. Int. J. Ind. Eng. Comput. 4, 1–12 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mathematics, D. N. College, Meerut, Uttar Pradesh, India

    S. R. Singh

  2. Banasthali University, Banasthali, Rajasthan, India

    Himanshu Rathore

Authors
  1. S. R. Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Himanshu Rathore
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. R. Singh .

Editor information

Editors and Affiliations

  1. Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India

    Kusum Deep

  3. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  4. Department of Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  5. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer India

About this paper

Cite this paper

Singh, S.R., Rathore, H. (2015). Two-Warehouse Reverse Logistic Inventory Model for Deteriorating Item under Learning Effect. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 335. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2217-0_5

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-2217-0_5

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2216-3

  • Online ISBN: 978-81-322-2217-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation