AN OPTIMIZATION OF FEOQ MODEL FOR WEIBULL DETERIORATING ITEMS WITH INFLATIONARY CONDITION

Authors

  • Anu Sayal Department of Mathematics, Uttarakhand Technical University, Dehradun, India
  • A. P. Singh Department of Mathematics S.G.R.R.(Pg) College. Dehradun, India
  • Deepak Aggarwal Department of Mathematics, GRD IMT, Dehradun, India

Keywords:

Fuzzy Economic Order Quantity (FEOQ) Model, Deterioration, Weibull Distribution Function, Inflation, Time Value of Money

Abstract

The economic instability is a haunting situation in the present era for the economy. There is a monetary depreciation due to the tremendous increase in the price of the commodities. Present study basically deals with the investigation of the inventory system considering the case of perishable products under inflationary environment under condition of partial backorder. The rate of demand is a function which exponentially increases with increase in inflation and deterioration is taken as a Weibull distributed two parameter function. In the state of shortage when the inventory system runs out of stock an assumption is made that the demands are backlogged or lost. There is a variation in the rate of backlogging which shows this variation as a consequence of lead time required for the arrival of the next replenishment. The deterioration of commodities begins after a fixed interval of time. Present model aims at minimizing the average total cost considering both the crisp and fuzzy environments considering both inflationary effect as well as the time value of money. For the fuzzy economic order quantity (FEOQ) model of the inventory system fuzzification has been done by the use of fuzzy number of the trapezoidal nature. Defuzzification has been done by the use of centroid method. The primary motive of this work is to determine and compare the cost in total of the system of inventory in both crisp and fuzzy environments. The main inference that we can draw from this study is that fuzzy economic order quantity (FEOQ) model has more accuracy as in this model the total cost has been reduced as compared to the crisp model. Thus fuzzy economic order quantity (FEOQ) model is highly beneficial to any sort of inventory system and this result can be further generalized to any sector for enhancing the total profit of the system. Appropriate example has been provided for the illustration of both the models.

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References

Bansal, K. K. (2013). Inventory model for deteriorating items with the effect of inflation, International Journal of Application and Innovation in Engineering and Management, 2(5), p. 143-150.

Bose, S. Goswami, A. and Chaudhuri, K.S (1995). An EOQ model for deteriorating items with linear time dependent demand rate and shortages under inflation and time discounting, J. Oper. Res. Soc., 46, p. 771-782.

Chang, C (2004). An EOQ model with deteriorating items with a linear trend in demand and shortages in all cycles, Interantional Journal of production Economics, 49, p. 205-213.

Chauhan, Anand and Anubhav Pratap Singh. (2015). A Note on the inventory models for deteriorating items with Verhulst’s model type demand rate, International Journal of Operational Research. 22(2), p. 243-261.

Covert, R.P. and Philip, G.C. (1973). An EOQ model for items with Weibull distribution deterioration, AIIF Transc., 5, p. 323-326.

T.K. Datta and A.K. Pal (1988), Order level inventory system with power demand pattern for items with variable rate of deterioration, Indian Journal of Pure and Applied Mathematics (Springer), 19(11), p. 1043-1053.

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, Eur. J. Oper. Res., 52, p. 1-8.

Ghare ,P.M. and Scharder, G.P (1963). A model for exponentially decaying inventory, J. Ind. Eng., 14, p. 238-243.

Jaggi, C., Aggarawal, K., and Goel, S (2006). Optimal order policy for deteriorating items with inflation induced demand, International Journal of production Economics, 103, p. 707-714. 10. Philip, G.C (1974). A generalized EOQ model for items with Weibull distribution deterioration, AIIE Transc., 6, p. 159-162.

Sana, S (2003). An EOQ Model with time-dependent demand, inflation and money value for a ware house enterpriser, Advanced Modeling and Optimization, 5(2) p. 197-210.

Sayal A, A.P. Singh, D. Aggarwal (2018). A review on application of crisp and fuzzy logic approach to supply chain system, 5(4), p. 194-197

Sayal A, A.P. Singh, D. Aggarwal (2018). Inventory model in fuzzy environment without shortage using triangular fuzzy number with sensitivity analysis, Int. J. Agricult. Stat. Sci. 14(1), p. 391-396.

Sayal A, A.P. Singh, D. Aggarwal (2018). Inventory model in fuzzy environment without shortage using triangular fuzzy number with sensitivity analysis, Int. J. Agricult. Stat. Sci., 14(1), p. 441-452.

Shah Y.K. and Jaiswal M.C. (1977). An order-level inventory model for a system with constant rate of deterioration, Opsearch, 14, p. 174-184.

Sharma, A.K. and Singh, S.R. (2003), An order level inventory model for deteriorating items with an exponentially increasing demand with time, Acta Ciencia Indica, XXIX, p. 213-217

Thangam,A. and Uthayakumar,R (2010). An inventory model for deteriorating items with inflation induced demand and exponential partial backorders-a discounted cash flow approach, International Journal of management Science and Engineering management, 5(3), p. 170-174. 18. Wee,H.M (1995). A deterministic lot-size inventory model for deteriorating items with shortages on a declining market, Comp. Ops. Res., 22, p. 553-558.

Wee, H. and Law, S (1999). Economic production lot size for deteriorating items taking account of time value of money, Computers and Operations Research, 26, p. 545-558. 20. Whitin, T.M. (1957).Theory of Inventory Management, Princeton University Press, Princeton, NJ, p. 62-72.

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Published

2019-10-22

How to Cite

Sayal, A. ., Singh, A. P. ., & Aggarwal, D. . (2019). AN OPTIMIZATION OF FEOQ MODEL FOR WEIBULL DETERIORATING ITEMS WITH INFLATIONARY CONDITION. Journal of Reliability and Statistical Studies, 12(02), 33–50. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/20647

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