دوباره سازی و سیاست های قیمت گذاری برای اقلامی با شرایط وخیم با در نظر گرفتن دوباره پر کردن و سیاست های قیمت گذاری برای اقلام رو به وخامت در نظر گرفتنارزش زمانی پول

A deteriorating inventory model taking into account the time-value of money is developed for a deterministic inventory system with price-dependent demand. This study applies the discounted cash flows (DCF) approach for problem analysis. A heuristic approach is presented to derive the near optimal replenishment and pricing policy that tries to maximize the total net present-value profit. A numerical example is implemented to illustrate the theory.

The problem of deteriorating inventory has received considerable attention in recent years. This is a realistic trend since most products such as medicine, dairy products and chemicals start to deteriorate once they are produced. Ghare and Schrader [1] were among the first authors who studied inventory problems considering deterioration of items. Since then, a number of studies on deteriorating items have been done (see for instance [2] and [3]). Covert and Philip [4] assumed a two-parameter Weibull distribution deterioration to consider varying deterioration rate of deterioration. Dave and Patel [5] incorporated the effect of deterioration and time-varying demand to derive an economic order quantity (EOQ) with equal replenishment cycles. Hollier and Mak [6] and Bahari-Kashani [7] extended the model by Dave and Patel to consider variable replenishment periods. Sachan [8] and Wee [9] and [10] extended the model by Dave and Patel to allow for shortages. Wee [11] later developed a replenishment policy for items with a price-dependent demand and a varying rate of deterioration.

In this paper, an inventory model with finite-planning horizon is presented for deteriorating items. The model considers the impact of price-dependent demand, shortages and varying rate of deterioration. The model can be used for electronics and other luxury products which are more likely to have the above characteristics. Heuristics and search methods are used to derive the optimal number of replenishment and unit price to maximize the total present-value net profit. Controlling market demand through the manipulation of selling price is an important strategy for increasing profit. This can be achieved by using the joint optimal replenishment and pricing strategy developed in this study. Further research can be done for cases with stochastic market demand and selling prices.