Capacity Of Own Warehouse Research Articles

A two-storage multi-item inventory model with hybrid number and nested price discount via hybrid heuristic algorithm

The purpose of this paper is to study a multi-item two warehouse inventory model with a nested discount on unit cost and inventory costs over a fixed time period. The concept of hybrid number and a new type of price discount have been applied in formulating an inventory control system having two separate storage facilities (owned-OW and rented-RW warehouses) due to limited capacity of OW. Here, demand rate is a linear function of selling price and time. The stocks at rented warehouse (RW) are transported to the owned warehouse (OW) following bulk-release rule. So, the mathematical model of the system becomes a constrained non-linear mixed-optimization problem. Here, taking the advantage of the randomness of multi-objective genetic algorithm with varying population (MOGAVP), for the first time, an algorithm has been proposed for the solution of multi-item two-warehouse inventory problems with nested price breaks. The optimum results are compared with MOGAVP and hybrid heuristic algorithm (HA). The optimal shipments, lot size of the two warehouses, shipment size and maximum profit are determined by maximizing the profit function. Finally optimal decision is made using above mentioned MOGAVP. Performance of the proposed MOGAVP on the model with respect to a standard MOGA and HA are compared.

A Review of Two Warehouse Model with Volume Elasticity and Reliability Consideration

Inventory management of produced, remanufactured/ repaired items has been in receipt of emergent attention in recent years. Demand uncertainty is another challenging but most important issue in inventory management. So, we consider a model with volume elasticity and reliability of the production process. All items are subjected to inspection and defective items are going in remanufacturing. The unit cost of production is inversely related to both process reliability and demand rate. Capacity of own ware house is limited. Production and demand are taken to be fuzzy in nature. Numerical illustration is given for the optimality of the cost functions

An EOQ model for stochastic demand for limited capacity of own warehouse

This paper deals with an economic order quantity (EOQ) model for uncertain demand when capacity of own warehouse (OW) is limited and the rented warehouse (RW) is considered, if needed. The expected average cost function is formulated for both continuous and discrete distributions of demand function by trading off holding costs and stock out penalty. The model is justified by suitable illustrations for various types of distributions.

Two-warehouse inventory model with K-release rule and learning effect

In this study, a two-warehouse inventory model with K-release rule by employing learning effect on holding cost and ordering cost is developed. Here, we assumed that the holding cost in both warehouses and ordering cost is partly constant and partly decreasing in each cycle due to learning effect. When stock level exceeds the capacity of own warehouse, it is to be kept in additional rented warehouse 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. The associated total cost minimisation is illustrated by numerical example and sensitivity analysis is carried out by using Mathematica–5.2 for the feasibility and applicability of our model.

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

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.

Perishable inventory control with two types of customers and different selling prices under the warehouse capacity constraint

This paper discusses an inventory model for a single perishable product with two types of customers, high priority and low priority ones (the former buys only the newest commodity, while the latter buys either one, whether the newest or not), different selling prices reflecting the remaining lifetime of commodity and the constraint of the warehouse capacity (i.e., the capacity of own warehouse, and so the excess inventory are stored in the rental warehouse). Further demands in successive periods are assumed to be independent nonnegative random variables with known distribution functions and high priority and low priority demands are independent. Stock is depleted by high priority demand first and then low priority demand using FIFO issuing policy. Assuming two types of shortage costs, different selling prices, outdating cost purchasing cost, two types of holding costs, an optimal ordering policy to maximize the expected profit is derived.