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Volume 04 Issue 2

Optimal inventory policies for Weibull deterioration under trade credit in declining market

Published: 24 Feb 2012 Issue:Volume 04 Issue 2 Apr 2010 Author details below

Nita H. Shah

Department of Mathematics, Gujarat University, Ahmedabad

Nidhi Raykundaliya

Department of Mathematics, Gujarat University, Ahmedabad

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Research summary

The aim of this study is to develop mathematical model for Weibull deterioration of items in inventory in declining market when the supplier offers his retailers a credit period to settle the accounts against the dues. The computational steps are explored for a retailer to determine the optimal purchase units which minimizes total inventory cost per time unit. The numerical examples are given to demonstrate the retailer’s optimal decision. A sensitivity analysis is carried out to study the variations in the optimal solution.

Article History

Published 24 Feb 2012

How to Cite

Shah, N. H. & Raykundaliya, N.. (2012). Optimal inventory policies for Weibull deterioration under trade credit in declining market. Journal of Business and Retail Management Research, Volume 04 Issue 2.

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Archive cited by No internal citing article yet
Reference depth 33 sources listed
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APA

Shah, N. H. & Raykundaliya, N.. (2012). Optimal inventory policies for Weibull deterioration under trade credit in declining market. Journal of Business and Retail Management Research, Volume 04 Issue 2.

MLA

Shah, Nita H., and Nidhi Raykundaliya. "Optimal inventory policies for Weibull deterioration under trade credit in declining market." Journal of Business and Retail Management Research, Volume 04 Issue 2, 2012.

Chicago

Nita H. Shah and Nidhi Raykundaliya. "Optimal inventory policies for Weibull deterioration under trade credit in declining market." Journal of Business and Retail Management Research Volume 04 Issue 2 (24 Feb 2012).

Harvard

Shah, N. H. & Raykundaliya, N. (2012) Optimal inventory policies for Weibull deterioration under trade credit in declining market. Journal of Business and Retail Management Research, Volume 04 Issue 2

References

  1. Abad, P.L. and Jaggi, C.K., 2003. A joint approach for setting unit price and length of the credit period for a seller when demand is price sensitive, International Journal of Production Economics, 83(2), 115-122.
  2. Arcelus, F. J., Shah, Nita H. and Srinivasan, G., 2001.Retailer’s response to special sales: price discount vs. trade credit. OMEGA, 29(5), 417 – 428.
  3. Arcelus, F. J., Shah, Nita H. and Srinivasan, G., 2003. Retailer’s pricing, credit and inventory policies for deteriorating items in response to temporary price discounts / credit incentives. International Journal of Production Economics, 81-82, 153 – 162.
  4. Bringham, E. F.1995. Fundamentals of financial Management. The Dryden Press, Florida.
  5. Chung, H. J and Dye, C.Y., 2000. An inventory model for deteriorating items with partial backlogging and permissible delay in payments. International Journal of system science, 32, 345-352.
  6. Chung, K.J., 1998. A theorem on the determination of economic order quantity under conditions of permissible delay in payments. Computers and Operation research, 25, 49-52.
  7. Chung, K.J., 2000. The inventory replenishment policy for deteriorating items under permissible delay in payments. OPSEARCH, 37, 267-281.
  8. Chung, H. J and Dye, C.Y., 2001. The effect of credit period on the optimal lot size for deteriorating items with time varying demand and deterioration rates. Asia- Pacific Journal of Operation research, 22, 211-227.
  9. Chung, K. J. and Huang, Y.F., 2003. The optimal cycle time for EPQ inventory model under permissible delay in payments. International Journal of Production Economics, 84(3), 30-318.
  10. Chung, K. J. and Liao, J. J., 2004. Lot-sizing decisions under trade credit depending on the order quantity. Computers and Operation research, 31(6), 909-928.
  11. Chung, K. J., Goyal, S. K. and Huang, Y. F., 2005. The optimal inventory policies under permissible delay in payments depending on the ordering quantity. International Journal of Production Economics, 95(2), 203-213.
  12. Dave, U., 1985. On “Economic order quantity under conditions of permissible delay in payments” by Goyal, Journal of the Operational Research Society, 36, 1069.
  13. Gor, Ravi and Shah, Nita H, 2003. An order - level lot - size model with time dependent deterioration and permissible delay in payments. Advances and Applications in Statistics, 3(2), 159-172.
  14. Gor, Ravi and Shah, Nita H, 2005. An EOQ model for deteriorating items with two parameters Weibull distribution deterioration under supplier credits. Journal of Mathematics and Systems Sciences, 1(1), 2 – 18.
  15. Goyal, S. K., 1985. Economic order quantity under conditions of permissible delay in payments. Journal of the Operational Research Society, 36, 335 – 338.
  16. Huang, Y. F., 2003. Optimal retailer's ordering policies in the EOQ model under trade credit financing. Journal of the Operational Research Society; 54, 1011 – 1015.
  17. Hwang, H. and Shinn, S. W., 1997. Retailer’s pricing and lot-sizing policy for exponentially deteriorating products under the condition of permissible delay in payments. Computers and Operation research, 24, 539-547.
  18. Jamal, A. M. M., Sarker, B. R, Wang, S., 1997. An ordering policy for deteriorating items with allowable shortages and permissible delay in payment. Journal of the Operational Research Society, 48, 826 – 833.
  19. Jamal, A. M. M., Sarker, B. R, Wang, S., 2001. Optimal payment time for a retailer under permitted delay of payment by the wholesaler. International Journal of Production Economics, 66, 59-66.
  20. Liao, H. C., Tsai, C. H. and Su, C.T., 2000. An inventory model with deteriorating items under inflation when a delay in payments is permissible. International Journal of Production Economics, 63, 207-214.
  21. Ouyang, L. Y., Chang, C.T. and Teng, J. T., 2005a. An EOQ model for deteriorating items under trade credits. Journal of Operational Research Society, 56, 719-726.
  22. Ouyang, L. Y., Teng, J. T., Chuang, K. W. and Chuang, B. R., 2005b. Optimal inventory policy with non instantaneous receipt under trade credit. International Journal of Production Economics, 98(3), 290-300.
  23. Salameh, M. K., Abbouud, N. E., El- Kassar, A. N. and Ghattas. R. E., 2003. Continuous review inventory model with delay in payments. International Journal of Production Economics, 85(1), 91-95.
  24. Sarker, B. R., Jamal, A. M. M., Wang, S., 2000. Optimal payment time under permissible delay for production with deterioration. Production Planning & Control; 11,380 – 390.
  25. Shah, Nita H., 1993a. A lot - size model for exponentially decaying inventory when delay in payments is permissible. CERO, 35(1-2), 1 – 9.
  26. Shah, Nita H., 1993b. A probabilistic order level system when delay in payments is permissible. Journal of the Korean Operations Research and Management Science; 18(2), 175 – 183.
  27. Shah, Nita H., 1993c. Probabilistic time scheduling model for exponentially decaying inventory when delay in payments is permissible. International Journal of Production Economics, 32, 77 – 82.
  28. Shah, Nita H., 2004. Probabilistic Order Level system when items in inventory deteriorate and delay in payments is permissible. Asia - Pacific Journal of Operational Research, 21(3), 319 – 331.
  29. Shah, Nita H. 2006.Inventory model for deteriorating items and time value of money for a finite time horizon under the permissible delay in payments. International Journal of Systems Science, 37 (1), 9 – 15.
  30. Shah, Nita H., Shah, B. J. and Shah, Y. K., 2004. An order-level lot-size model with stock dependent demand for time dependent rate of deterioration of items under permissible delay in payments. Far East Journal of Theoretical Statistics, 12 (2), 201 – 220.
  31. Shinn, S. W. and Hwang, H., 2003. Retailer’s pricing and lot-sizing policy for exponentially deteriorating products under the condition of permissible delay in payments. Computers and Industrial Engineering, 24(6), 539-547.
  32. Teng, J. T., 2002. On the economic order quantity under conditions of permissible delay in payments. Journal of the Operational Research Society; 53, 915 – 918.
  33. Teng, J. T., Chang, C.T and Goyal, S. K., 2005. Optimal pricing and ordering policy under permissible delay in payments. International Journal of Production Economics; 97, 121 – 129.

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