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Two Warehouses EOQ Inventory Model of Degrading Matter Having Exponential Decreasing Order, Limited Suspension in Price Including Salvage Value

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Abstract

This paper emphasizes upon inventory model possessing two warehouses. The same includes matters which hold degrading aspect, and the very model has been developed with exponentially diminishing order rate with limited suspension price including salvages. The particular model beholds one rented warehouse where another one is inherent. The degrading rate feature of inherent warehouse exhibits linear function of period and the degradation of rented house delivers a persistent function. Salvage value is calculated on own warehouse. The objective of this study is to find total appropriate inventory cost and which should be reduced. The usefulness of the aforesaid model as well as the sensitivity investigation of the finest resolution corresponding to a mixture of features has been observed considering a mathematical illustration into account.

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References

  1. Abad PL. Optimal Pricing and lot sizing under conditions of perishability and partial backordering. Manage Sci. 1996;42:1093–104.

    Article  MATH  Google Scholar 

  2. Aligu I, Soni B. An inventory model for deteriorating items with generalized exponential decreasing demand, constant holding cost and time-ranging deterioration rate. Am J Oper Res. 2018;8:1–16.

    Google Scholar 

  3. Bhunia AK, Maity M. A two warehouse inventory model for deteriorating items with linear trend in demand and storages. J Oper Res Soc. 1998;49:287–92.

    Article  MATH  Google Scholar 

  4. Dave U. On the EOQ model with two level of storage. Opsearch. 1988;25:190–6.

    MathSciNet  MATH  Google Scholar 

  5. Dye CY, Ouyang LY, Hsich TP. Deterministic inventory model for deteriorating items with capacity constraint and time-proportional backlogging rate. Eur J Oper Res. 2007;178(3):789–807.

    Article  MathSciNet  MATH  Google Scholar 

  6. Goyal SK. EOQ under conditions of permissible delay in payments. J Oper Res Soc. 1985;36:35–8.

    Google Scholar 

  7. Hartly RV. Operation research—a manegerial emphasis. California: Goodyear Publishing Company; 1976. p. 315–317.

    Google Scholar 

  8. Kaliraman NK, Raj R, Chandra S, Chaudhary H. Two warehouse inventory model for deteriorating item with exponential demand rate and permissible delay in payment. Yugosl J Oper Res. 2017;27(1):109–24.

    Article  MathSciNet  MATH  Google Scholar 

  9. Lee C, Hsu S. A two warehouse production model for deteriorating items with time dependent demand. Eur J Oper Res. 2009;194:700–10.

    Article  MathSciNet  MATH  Google Scholar 

  10. Lee C, Ma C. Optimal inventory policy for deteriorating items with two warehouse and time dependent demands. Prod Plann Control. 2000;11:689–96.

    Article  Google Scholar 

  11. Ouyang LY, Wu KS, Cheng MC. An inventory model for deteriorating items with exponential declining demand and partial backlogging. Yugosl J Oper Res. 2005;15(2):277–88. https://doi.org/10.2298/YJOR0502277O.

    Article  MathSciNet  MATH  Google Scholar 

  12. Sahoo NK, Sahoo CK, Sahoo SK. An EOQ model with two parameter constant deterioration and price dependent demand. Int J Ultra Sci Phys Sci. 2009;21(2):M515–520.

    MATH  Google Scholar 

  13. Sana S, Chaudhuri KS. A stock-review EOQ model with stock dependent demand, quadratic deterioration rate. Adv Model Optim. 2004;6(2):25–322.

    MathSciNet  MATH  Google Scholar 

  14. Sarma KVS. A deterministic order level inventory model for deteriorating items with two storage facilities. Eur J Oper Res. 1987;29:70–3.

    Article  MathSciNet  MATH  Google Scholar 

  15. Shah NH, Shukla KT. Deteriorating inventory model for waiting time partial backlogging. Appl Math Sci. 2009;3(9):421–8.

    MathSciNet  MATH  Google Scholar 

  16. Yanlai L, Fangming Z. A two warehouse inventory model for deteriorating items under conditionally permissible delay in payment. Appl Math Model. 2011;35:2221–31.

    Article  MathSciNet  MATH  Google Scholar 

  17. Zhou Y. A multi-warehouse inventory model for items with time–varying demand and shortage. Comput Oper Res. 2003;30:509–20.

    Article  Google Scholar 

  18. Zhou YW, Yang SL. A two warehouse inventory model for items with stock-level-dependent demand rate. Int J Prod Econ. 2005;95:215–28.

    Article  Google Scholar 

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Correspondence to Chandan Kumar Sahoo.

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This article is part of the topical collection “Computational Statistics” guest edited by Anish Gupta, Mike Hinchey, Vincenzo Puri, Zeev Zalevsky and Wan Abdul Rahim.

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Sahoo, C.K., Paul, K.C. & Kumar, S. Two Warehouses EOQ Inventory Model of Degrading Matter Having Exponential Decreasing Order, Limited Suspension in Price Including Salvage Value. SN COMPUT. SCI. 1, 334 (2020). https://doi.org/10.1007/s42979-020-00346-1

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