Skip to main content
SpringerLink
Log in
Book cover

International Conference on Computational Science and Its Applications

ICCSA 2006: Computational Science and Its Applications - ICCSA 2006 pp 885–897Cite as

An Integrated Production-Inventory Model for Deteriorating Items with Imperfect Quality and Shortage Backordering Considerations

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3982))

Abstract

In this study we present a production-inventory model for deteriorating item with vendor-buyer integration. A periodic delivery policy for a vendor and a production-inventory model with imperfect quality for a buyer are established. Such implicit assumptions (deteriorating items, imperfect quality) are reasonable in view of the fact that poor-quality items do exist during production. Defective items are picked up during the screening process. Shortages are completely backordered. The study shows that our model is a generalization of the models in current literatures. An algorithm and numerical analysis are given to illustrate the proposed solution procedure. Computational results indicate that our model leads to a more realistic result.

This is a preview of subscription content, 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   139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Banerjee, A.: A joint economic lot size model for purchaser and vendor. Decision Science 17, 292–311 (1985)

    Article  Google Scholar 

  2. Cheng, T.C.E.: An economic order quantity model with demand-dependent unit production cost and imperfect production process. IIE Transactions 23(1), 23–28 (1991)

    Article  Google Scholar 

  3. Chung, K.J., Hou, K.L.: An optimal production run time with imperfect production processes and allowable shortages. Computers and Operations Research 20, 483–490 (2003)

    Article  Google Scholar 

  4. Dave, U.: On a discrete-in-time order-level inventory model for deteriorating items. Operational Research Quarterly 30, 349–354 (1979)

    MATH  Google Scholar 

  5. Elsayed, E.A., Terasi, C.: Analysis of inventory systems with deteriorating items. International Journal of Production Research 21, 449–460 (1983)

    Article  MATH  Google Scholar 

  6. Goyal, S.K.: Determination of optimum production quantity for a two-stage production system. Operational Research Quarterly 28, 865–870 (1977)

    Article  MATH  Google Scholar 

  7. Goyal, S.K.: A joint economic lot size model for purchaser and vendor: A comment. Decision Science 19, 236–241 (1988)

    Article  Google Scholar 

  8. Goyal, S.K., Gupta, Y.P.: Integrated inventory models: the buyer–vendor coordination. European Journal of Operational Research 41, 261–269 (1992)

    Article  Google Scholar 

  9. Goyal, S.K.: A one-vendor multi-buyer integrated inventory model: a comment. European Journal of Operational Research 82, 209–210 (1995)

    Article  MATH  Google Scholar 

  10. Goyal, S.K., Gardenas-Barron, L.E.: Note on: economic production quantity model for items with imperfect quality – a practical approach. International Journal of Production Economics 77, 85–87 (2002)

    Article  Google Scholar 

  11. Goyal, S.K., Huang, C.K., Chen, H.K.: A simple integrated production policy of an imperfect item for vendor and buyer. Production Planning & Control 14(7), 596–602 (2003)

    Article  Google Scholar 

  12. Ghare, P.M., Schrader, S.F.: A model for an exponentially decaying inventory. Journal of Industrial Engineering 14, 238–243 (1963)

    Google Scholar 

  13. Ha, D., Kim, S.L.: Implementation of JIT purchasing: an integrated approach. Production Planning & Control 8(2), 152–157 (1997)

    Article  Google Scholar 

  14. Hahm, J., Yano, C.A.: The economic lot and delivery scheduling problem: the single item case. International Journal of Production Economics 28, 235–251 (1992)

    Article  Google Scholar 

  15. Hahm, J., Yano, C.A.: The economic lot and delivery scheduling problem: the common cycle case. IIE Transactions 27, 113–125 (1995)

    Article  Google Scholar 

  16. Heng, K.J., Labban, J., Linn, R.L.: An order-level lot-size inventory model for deteriorating items with finite replenishment rate. Computers & Industrial Engineering 20, 187–197 (1991)

    Article  Google Scholar 

  17. Hill, R.M.: The single-vendor single-buyer integrated production-inventory model with a generalized policy. European Journal of Operational Research 97, 493–499 (1997)

    Article  MATH  Google Scholar 

  18. Hill, R.M.: The optimal production and shipment policy for the single-vendor single-buyer integrated production inventory problem. International Journal of Production Research 37, 2463–2475 (1999)

    Article  MATH  Google Scholar 

  19. Hoque, M.A., Goyal, S.K.: An optimal policy for a single-vendor single-buyer integrated production-inventory system with capacity constraint of transport equipment. International Journal of Production Economics 65, 305–315 (2000)

    Article  Google Scholar 

  20. Kang, S., Kim, I.: A study on the price and production level of the deteriorating inventory system. International Journal of Production Research 21, 449–460 (1983)

    Article  Google Scholar 

  21. Lu, L.: A one-vendor multi-buyer integrated inventory model. European Journal of Operational Research 81, 312–323 (1995)

    Article  MATH  Google Scholar 

  22. Porteus, E.L.: Optimal lot sizing, process quality improvement and setup cost reduction. Operations Research 34(1), 37–144 (1986)

    Article  Google Scholar 

  23. Raafat, F., Wolfe, P.M., Eldin, H.K.: An inventory model for deteriorating items. Computers & Industrial Engineering 20, 89–94 (1991)

    Article  Google Scholar 

  24. Rosenblatt, M.J., Lee, H.L.: Economic production cycles with imperfect production process. IIE Transaction 18, 48–55 (1986)

    Article  Google Scholar 

  25. Salameh, M.K., Jaber, M.Y.: Economic order quantity model for items with imperfect quality. International Journal of Production Economics 64, 59–64 (2000)

    Article  Google Scholar 

  26. Schwaller, R.L.: EOQ under inspection costs. Production and Inventory Management 29(3), 22 (1988)

    Google Scholar 

  27. Viswanathan, S.: Optimal strategy for the integrated vendor-buyer inventory model. European Journal of Operational Research 105, 38–42 (1998)

    Article  MATH  Google Scholar 

  28. Wee, H.M., Yu, J., Chen, M.C.: Optimal inventory model for items with imperfect quality and shortage backordering. Omega (2005) (in press) (available online)

    Google Scholar 

  29. Yang, P.C., Wee, H.M.: A single-vendor and multiple-buyers production-inventory policy for a deteriorating item. European Journal of Operational Research 43, 570–581 (2002)

    Article  MathSciNet  Google Scholar 

  30. Zhang, X., Gerchak, Y.: Joint lot sizing and inspection policy in an EOQ model with random yield. IIE Transaction 22(1), 41 (1990)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Chung Yuan Christian University, Chungli, 32023, Taiwan

    H. M. Wee

  2. Logistics Management Department, Takming College, Taipei, 114, Taiwan

    Jonas C. P. Yu

  3. Department of Business Administration, National Dong Hwa University, Hualien, Taiwan

    K. J. Wang

Authors
  1. H. M. Wee
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jonas C. P. Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. K. J. Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina Gavrilova

  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. OptimaNumerics Ltd., Cathedral House, 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  5. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  7. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea

    Hyunseung Choo

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wee, H.M., Yu, J.C.P., Wang, K.J. (2006). An Integrated Production-Inventory Model for Deteriorating Items with Imperfect Quality and Shortage Backordering Considerations. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751595_93

Download citation

  • DOI: https://doi.org/10.1007/11751595_93

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34075-1

  • Online ISBN: 978-3-540-34076-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation