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Reseach Article

EOQ Model with Volume Agility, Variable Demand Rate, Weibull Deterioration Rate and Inflation

by S. R. Singh, Vandana Gupta, Preety Bansal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 23
Year of Publication: 2013
Authors: S. R. Singh, Vandana Gupta, Preety Bansal
10.5120/12679-9293

S. R. Singh, Vandana Gupta, Preety Bansal . EOQ Model with Volume Agility, Variable Demand Rate, Weibull Deterioration Rate and Inflation. International Journal of Computer Applications. 72, 23 ( June 2013), 1-6. DOI=10.5120/12679-9293

@article{ 10.5120/12679-9293,
author = { S. R. Singh, Vandana Gupta, Preety Bansal },
title = { EOQ Model with Volume Agility, Variable Demand Rate, Weibull Deterioration Rate and Inflation },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 23 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number23/12679-9293/ },
doi = { 10.5120/12679-9293 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:38:40.604657+05:30
%A S. R. Singh
%A Vandana Gupta
%A Preety Bansal
%T EOQ Model with Volume Agility, Variable Demand Rate, Weibull Deterioration Rate and Inflation
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 23
%P 1-6
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main objective of this paper is to develop a Supply chain model of a volume agile manufacturing process for the deteriorating items. It is assumed that an EOQ model in which inventory is depleted not only by demand also by deterioration. In this study, a model for the producer by assuming stock dependent demand rate is developed. It is assumed that the deterioration rate follows the Weibull distribution. The unit production cost which is treated to be a function of the finite production rate which is treated to be a decision variable. This whole study is studied in the inflationary environment. The mathematical expression for the total cost is derived and it is minimized. The solution procedure is illustrated with the help of numerical example.

References
  1. Chang, J. H. and Lin, F. W. 2010. A partial backlogging inventory model for non-instantaneous deteriorating items with stock-dependent consumption rate under inflation. Yugoslav Journal of Operation Research, 20(1), 35-54.
  2. Datta, T. K. and Pal, A. K. 1991. Effects of inflation and time value of money on an inventory model with linear time dependent demand rate and shortages. European Journal of Operation Research, 52(3), 326-333.
  3. Padmanabhan, G. and Vrat, P. 1990. An EOQ model for items with stock dependent consumption rate and exponential decay. Engineering Costs and Production Economics, 18(3), 241-246.
  4. Hong, J. D. , Sandrapaty, R. R. and Hayya, J. C. 1990. A production policy for linearly increasing demand and finite uniform production rate. Computers Industrial Engg. , 18(2), 119-127.
  5. Khouja, M. and Mehrez, A. 1994. An economic production lot size model with variable production rate and imperfect quality. Journal of operational Research Society, 45(12), 1405-1417.
  6. Khouja, M. 1995. The economic production lot size model under volume flexibility. Computers and operations Research, 22(5), 515-523.
  7. Khouja, M. 1997. The scheduling of economic lot size on volume flexibility production system. International Journal of Production Economics, 48(1), 73-86.
  8. Khouja, M. and Mehrez, A. 2005. A production model for a flexible production system and products with short selling season. Journal of Applied Mathematics and Decision Sciences, 2005(4), 213-223.
  9. Moon, I. , Gallego, G. and Simchi-Levi, D. 1991. Controllable production rate in a family production context. International Journal of production Research, 29(12), 2459-2470.
  10. Mandal, B. N. and Phaujdar, S. 1989. An Inventory model for deteriorating items and stock-dependent consumption rate. Journal of the Operations Research Society, 40(5), 483-488.
  11. Misra, R. B. 1975. Optimum production lot size model for a system with deteriorating inventory. International Journal of Production Research, 13(5), 459-505.
  12. Sana, S. and Chaudhuri, K. S. 2003. On a volume flexible stock dependent inventory model. Advance Modeling and Optimization, 5(3), 197-210.
  13. Sana, S. and Chaudhuri, K. S. 2004. On a volume flexible production policy for a deteriorating item with time dependent demand and shortage. Advanced Modeling and Optimization, 6(1), 57-73.
  14. Sana, S. S. , Goyal, S. K. and Chaudhuri, K. S. 2007. On a volume flexible inventory model for items with an imperfect production system. International Journal of Operational Rerearch, 2(1), 64-80.
  15. Singh, S. R. and Urvashi. 2010. Supply chain models with imperfect production process and volume flexibility under inflation. IUP journal of Supply Chain Management, 7(1&2), 61-76.
  16. Singh, S. R. , Kumari, R. and Kumar, N. 2011. A deterministic two warehouse inventory model for deteriorating items with stock dependent demand and shortages under the conditions of permissible delay. International Journal of Mathematical Modelling and Numerical Optimisation, 2(4), 357-375.
  17. Singh, S. R. , Gupta, V. and Gupta, P. 2013. Three stage supply chain model with two warehouse, imperfect production, variable demand rate and inflation. International Journal of Industrial Engineering Computations, 4(1), 81-92.
Index Terms

Computer Science
Information Sciences

Keywords

Volume agility Stock dependent demand inflation and Weibull deterioration rate