OPSEARCH

, 46:335 | Cite as

An order-level inventory model under two level storage system with time-dependent demand

Technical Note

Abstract

An order-level inventory model is considered with two levels of storage for deteriorating items. When stock level exceeds the capacity of own warehouse (OW), it is to be kept in additional rented warehouse (RW) with higher holding cost than OW. The inventory held in RW is transferred to OW in bulk size (K) where, K is less than the capacity of OW till the stock in RW gets exhausted and there is an associated transportation cost. In developing the model it is assumed that the demand is time-dependent and shortages are allowed.

Keywords

Two storage Deteriorated items Shortages 

References

  1. [1]
    Sarma K.V. S.: A deterministic inventory model with two levels of storage and an optimum release rule, Opsearch, 20(3), 175–180 (1983)Google Scholar
  2. [2]
    Mudreswar T.M., Sathe Y.S.: Some aspects of lot size models with two levels of storage, Opsearch, 22(4), 255–262 (1985)Google Scholar
  3. [3]
    Sarma K.V.S.: A deterministic order level inventory for deteriorating items with two storage facilities, Eur J Oper Res, 29, 70 (1987)CrossRefGoogle Scholar
  4. [4]
    Dave U.: On the EOQ models with two levels of storage, Opsearch, 25, 190–196 (1988)Google Scholar
  5. [5]
    Raafat F.: Survey of literature on continuously deteriorating inventory models J Oper Res Soc, 42, 27–37 (1991)CrossRefGoogle Scholar
  6. [6]
    Goswami A., Chaudhuri K.S.,: An economic order quantity model for items with two levels of storage for a linear trend in demand, J Oper Res Soc, 43, 157–167 (1992)CrossRefGoogle Scholar
  7. [7]
    Pakkala T.P.M., Achary K.K.: Analysis of a deterministic inventory model for perishable items with two warehouses, Cahiers de Centre d’ Etudes de Recherche Operationnellle, 33, 247–256 (1994)Google Scholar

Copyright information

© Operational Research Society of India 2009

Authors and Affiliations

  1. 1.Department of Applied MathematicsUniversity of CalcuttaKolkataIndia

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