A Note on Determining Order Quantities with a Linear Trend in Demand

The economic order quantity concept has received much attention. However, the model is severely restricted by the assumption of constant demand. This paper presents a procedure for adjusting the economic order quantity model for the cases of increasing or decreasing linear trend demand patterns. The primary advantage of the proposed method is its simplicity in comparison with existing procedures and, as illustrated in two examples, its near-optimal performance     

An Economic Order Quantity Model for Items with Two Levels of Storage for a Linear Trend in Demand

A deterministic inventory model with two levels of storage (own warehouse and rented warehouse) is studied by considering a linear (positive) trend in demand. Firstly, the model is formulated and solved without allowing backlogging. Secondly, the model is reformulated and solved under the assumptions that shortages in inventory are allowed and backlogged. The results are illustrated with the help of numerical examples.     

Optimal Inventory Rule for a Linear Trend in Demand with a Constant Replenishment Period

The classical deterministic inventory model is considered for the case of constant time between each replenishment and linear trend in demand. The optimum policy is derived and shown to apply to both positive and negative trends. This policy is used in two examples considered in earlier papers on linear trend. It is shown to give only slightly higher costs than the optimal policy with varying replenishment periods, and is compared with a recent heuristic for that case.     

A Heuristic for Replenishment of Deteriorating Items with a Linear Trend in Demand

Journal of the Operational Research Society - The classical no-shortage inventory policy is examined for the case of deteriorating items having a deterministic demand pattern with a linear...     

Economic Order Quantities with Inflation

The classical EOQ formula assumes that all relevant costs and prices are constant. In this paper it is shown that with inflation the choice of the inventory carrying charge used in the EOQ formula depends on the company's pricing policy. If prices change independently of replenishment order timing the inventory charge should be low and independent of the inflation rate. However, when no "double ticketing" is permitted and the company uses a constant percentage mark up the carrying charge is high and depends on the inflation rate and the mark-up. Only if the company is allowed a fixed monetary margin is the classical result for carrying charge valid.     

An Alternative Procedure for Determining the Optimal Policy for an Inventory Item Having Linear Trend in Demand

In this paper we develop an iterative procedure for determining the optimal replenishment policy for an item having linear trend in demand. Shortages are permitted for the inventory item and can be backordered. Our optimal procedure is easier to apply than an earlier solution method reported in inventory literature with linearly time-varying demand and shortages. Two examples are included to illustrate the iterative procedure.     

An EOQ Model for Deteriorating Items with Shortages and a Linear Trend in Demand

We consider here the inventory replenishment policy over a fixed planning period for a deteriorating item having a deterministic demand pattern with a linear trend and shortages. The number of reorders, the interval between two successive reorders and the shortage intervals over a finite time-horizon are all determined in an optimal manner so as to keep the average system cost to a minimum. One numerical example illustrates how the procedure works. The counterpart of this example in the no-shortage case is also given. The effects of variation in the deterioration rate on the optimal policy are also indicated with numerical examples.     

Order Quantities with Temporary Price Reductions

The temporary price-change problem is studied, in which the objective is to minimize discounted cash flows. As pointed out by Goyal in an earlier paper, only the cash transactions at purchase times (i.e. the payments for the goods and the ordering costs) were considered. The cash flows associated with `inventory maintenance' costs which occur more or less continuously over time were neglected, which changes the structure of the model. Examples of these costs include storage, insurance, record-keeping, deterioration and obsolescence costs. In this paper, these continuously generated cash flows are included in the analysis, thereby making the new model more applicable to practical situations. This model is of interest because order-quantity decisions often must be made under conditions of both temporary price reductions and/or imminent price increases. These changes occur frequently in practice.     

Practical Inventory Replenishment Policies for a Linear Trend in Demand Followed by a Period of Steady Demand

Inventory policies are considered for the situation of a deterministic linear trend in demand followed by a period of constant demand: an idealised form of a common situation in spares provisioning. An analytic optimal solution is derived and its practical shortcomings discussed. The performance of practical inventory policies for this situation are compared and a policy based on the well known economic batch quantity, suitably modified for linear trend, is shown to give small cost penalties when compared to the analytic solution. The good performance of the policy based on the economic batch quantity is maintained, even when used on examples which simulate situations where the parameters of demand are not known exactly. Indeed the method is then superior to all others tried, including the "optimal" analytic method.     

A Simple Inventory Replenishment Decision Rule for a Linear Trend in Demand

We consider the situation of a deterministic demand pattern having a linear trend. The problem is to select the timing and sizes of replenishments so as to keep the total of replenishment and carrying costs as low as possible. An earlier developed heuristic for the general case of a deterministic, time-varying, demand pattern is specialized to the case of a linear trend. The simple decision rule is shown to lead to small cost penalties in two examples that have been exactly analyzed in an earlier article in this journal.     

线性需求合并短缺的变质性物品的生产——库存模型

本文发展了线性需求合并短缺的变质性物品的生产——库存模型，以系统平均总费用最小为目标，提供了有限计划期内的生产调整策略以便适应市场需求的变化．同时还提供了无短缺情形的相应模型，最后出示了一些数字例子     

On a Test Statistic for Linear Trend

Let {W(s)} _s 0 be a standard Wiener process. The supremum of the squared Euclidian norm Y (t)², of the R²-valued process Y(t)=(1/t W(t), {12/t ³ int_{0 t} s dW (s)– {3/t} W(t)), t [, 1], is the asymptotic, large sample distribution, of a test statistic for a change point detection problem, of appearance of linear trend. We determine the asymptotic behavior P {sup _t [, 1] Y(t)² > u as u , of this statistic, for a fixed (0,1), and for a moving = (u) 0 at a suitable rate as u . The statistical interest of our results lie in their use as approximate test levels.