A deterministic two warehouse inventory model for deteriorating items with stock-dependent demand and shortages under the conditions of permissible delay

In this paper, a deterministic inventory model for deteriorating items with two warehouses and shortages is developed. It is observed that in supermarkets, the demand rate is usually influenced by the amount of the stock level, i.e., the demand rate may go up or down with the on-hand inventory level. Influenced by this, we develop a model where the demand is dependent on the present stock level. Trade credit is provided to the customer to attract them and boost up the demand. A rented warehouse (RW) is used when the ordering quantity exceeds the limited capacity of the own warehouse. Due to different storage conditions, deterioration rate in two warehouses may be different. In addition, shortages are neither completely backlogged nor completely lost assuming the backlogging rate to the inversely proportional to the waiting time for the next replenishment. The associated cost minimisation is illustrated by numerical example and also its sensitivity analysis is carried out by using Mathematica-5.2 for the feasibility and applicability of our model.

[1]  R. Higgins,et al.  Inventory Policy and Trade Credit Financing , 1973 .

[2]  S. K. Goyal,et al.  Recent trends in modeling of deteriorating inventory , 2001, Eur. J. Oper. Res..

[3]  T P M Pakkala Two-Warehouse inventory models for deteriorating items , 1992 .

[4]  B. Mandal,et al.  An Inventory Model for Deteriorating Items and Stock-dependent Consumption Rate , 1989 .

[5]  Manoranjan Maiti,et al.  Two storage inventory model with random planning horizon , 2006, Appl. Math. Comput..

[6]  Chung-Yuan Dye,et al.  A Deteriorating Inventory Model with Stock-Dependent Demand and Partial Backlogging under Conditions of Permissible Delay in Payments , 2002 .

[7]  George C. Philip,et al.  A Generalized EOQ Model for Items with Weibull Distribution Deterioration , 1974 .

[8]  Kun-Jen Chung An algorithm for an inventory model with inventory-level-dependent demand rate , 2003, Comput. Oper. Res..

[9]  T. Datta,et al.  Demand promotion by upgradation under stock-dependent demand situation – a model , 1998 .

[10]  Yung-Fu Huang,et al.  Optimal replenishment policies for EOQ inventory model with limited storage capacity under permissible delay in payments , 2004 .

[11]  S. Goyal Economic Order Quantity under Conditions of Permissible Delay in Payments , 1985 .

[12]  K. Sarma A deterministic order level inventory model for deteriorating items with two storage facilities , 1987 .

[13]  R. Levin Production/Operations Management: Contemporary Policy for Managing Operating Systems , 1983 .

[14]  K. K. Achary,et al.  A deterministic inventory model for deteriorating items with two warehouses and finite replenishment rate , 1992 .

[15]  Hesham K. Alfares,et al.  Inventory model with stock-level dependent demand rate and variable holding cost , 2007 .

[16]  B. Sarker,et al.  An ordering policy for deteriorating items with allowable shortage and permissible delay in payment , 1997 .

[17]  J. A. C. C. Watson-Gandy Operations Research—A Managerial Emphasis , 1977 .

[18]  Chun-Tao Chang,et al.  Optimal ordering and transfer policy for an inventory with stock dependent demand , 2009, Eur. J. Oper. Res..

[19]  Nita H. Shah,et al.  LITERATURE SURVEY ON INVENTORY MODELS FOR DETERIORATING ITEMS , 2000 .

[20]  Yong-Wu Zhou,et al.  A two-warehouse inventory model for items with stock-level-dependent demand rate , 2005 .

[21]  S. Aggarwal,et al.  Ordering Policies of Deteriorating Items under Permissible Delay in Payments , 1995 .

[22]  Kun-Jen Chung,et al.  The optimal retailer's ordering policies for deteriorating items with limited storage capacity under trade credit financing , 2007 .

[23]  Maw-Sheng Chern,et al.  An inventory model under inflation for deteriorating items with stock-dependent consumption rate and partial backlogging shortages , 2010 .

[24]  Philip M. Wolfe,et al.  An inventory model for deteriorating items , 1991 .