Table of Contents Author Guidelines Submit a Manuscript
Journal of Applied Mathematics and Decision Sciences
Volume 2008 (2008), Article ID 795869, 13 pages
http://dx.doi.org/10.1155/2008/795869
Research Article

Investing in Lead-Time Variability Reduction in a Quality-Adjusted Inventory Model with Finite-Range Stochastic Lead-Time

Department of IT/QM, Frank G. Zarb School of Business, Hofstra University, Hempstead, NY 11549-1340, USA

Received 22 May 2007; Accepted 11 November 2007

Academic Editor: Ömer S. Benli

Copyright © 2008 Farrokh Nasri et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. Gross and A. Soriano, “The effect of reducing lead time on inventory level-simulation analysis,” Management Science, vol. 16, pp. B61–B76, 1969. View at Google Scholar
  2. C. E. Vinson, “The cost of ignoring lead time unreliability in inventory theory,” Decision Sciences, vol. 3, no. 2, pp. 87–105, 1972. View at Google Scholar
  3. M. J. Liberatore, “The EOQ model under stochastic lead time,” Operations Research, vol. 27, no. 2, pp. 391–396, 1979. View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  4. G. P. Sphicas, “On the solution of an inventory model with variable lead times,” Operations Research, vol. 30, no. 2, pp. 404–410, 1982. View at Google Scholar
  5. G. P. Sphicas and F. Nasri, “An inventory model with finite-range stochastic lead times,” Naval Research Logistics Quarterly, vol. 31, no. 4, pp. 609–616, 1984. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  6. M. J. Rosenblatt and H. L. Lee, “Economic production cycles with imperfect production processes,” IIE Transactions, vol. 18, no. 1, pp. 48–55, 1986. View at Publisher · View at Google Scholar
  7. E. L. Porteus, “Optimal lot sizing, process quality improvement and setup cost reduction,” Operations Research, vol. 34, no. 1, pp. 137–144, 1986. View at Google Scholar
  8. T. C. E. Cheng, “EPQ with process capability and quality assurance considerations,” Journal of Operational Research Society, vol. 42, no. 8, pp. 713–720, 1991. View at Publisher · View at Google Scholar
  9. K. Moinzadeh and H. L. Lee, “A continuous-review inventory model with constant resupply time and defective items,” Naval Research Logistics, vol. 34, no. 4, pp. 457–467, 1987. View at Publisher · View at Google Scholar
  10. M. J. Paknejad, F. Nasri, and J. F. Affisco, “Defective units in a continuous review (s,Q) system,” International Journal of Production Research, vol. 33, no. 10, pp. 2767–2777, 1995. View at Publisher · View at Google Scholar
  11. E. Heard and G. Plossl, “Lead times revisited,” Production and Inventory Management, vol. 23, no. 3, pp. 32–47, 1984. View at Google Scholar
  12. J. Paknejad, F. Nasri, and J. F. Affisco, “Quality improvement in an inventory model with finite-range stochastic lead times,” Journal of Applied Mathematics and Decision Sciences, vol. 2005, no. 3, pp. 177–189, 2005. View at Publisher · View at Google Scholar · View at MathSciNet
  13. M. J. Paknejad, F. Nasri, and J. F. Affisco, “Lead-time variability reduction in stochastic inventory models,” European Joural of Operational Research, vol. 62, no. 3, pp. 311–322, 1992. View at Publisher · View at Google Scholar
  14. E. L. Porteus, “Investing in new parameter values in the discounted EOQ model,” Naval Research Logistics Quarterly, vol. 33, no. 1, pp. 39–48, 1986. View at Publisher · View at Google Scholar