JOURNAL ARTICLE

The Optimal Inventory Policy for Batch Ordering

Arthur F. Veinott

Year: 1965 Journal:   Operations Research Vol: 13 (3)Pages: 424-432   Publisher: Institute for Operations Research and the Management Sciences

Abstract

We consider a single product dynamic inventory problem in which the demands in each period are independent and identically distributed random variables. There is a constant lead time, a discount factor 0 ≦ α ≦ 1, a unit ordering cost c and an expected holding and penalty cost function L(·) for which −[c(l − α)y + L(y)] is unimodal, and total backlogging of unfilled demand. In addition each order for stock must be in some nonnegative integral multiple of Q, a fixed positive constant. It is shown that the (k, Q) policy is optimal for the finite and infinite period models. With the (k, Q) policy if the initial inventory on hand and on order in a period is less than k, an order is placed for the smallest multiple of Q that will bring the inventory on hand and on order to at least k; otherwise, no order is placed. The optimal value of k is easy to compute and is the same for the finite and infinite period models. The results are generalized to the case where the demand distributions and cost functions vary over time. The (k, Q) policy is not optimal in general for the case where there is also a fixed charge for placing an order.

Keywords:
Independent and identically distributed random variables Order (exchange) Constant (computer programming) Holding cost Finite set Mathematics Product (mathematics) Lead time Random variable Expected value Economic order quantity Function (biology) Value (mathematics) Inventory cost Mathematical optimization Stock (firearms) Combinatorics Computer science Economics Statistics Operations management

Metrics

123
Cited By
7.21
FWCI (Field Weighted Citation Impact)
6
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Supply Chain and Inventory Management
Social Sciences →  Business, Management and Accounting →  Management Information Systems
Optimization and Search Problems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Queuing Theory Analysis
Social Sciences →  Business, Management and Accounting →  Management Information Systems

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