Joint pricing and ordering policies for deteriorating item with retail price-dependent demand in response to announced supply price increase
Joint pricing and ordering policies for deteriorating item with retail price-dependent demand in response to announced supply price increase
复制标题
DOI：
10.3934/jimo.2013.9.437
复制
发表时间：
2013-02
影响因子：
1.3
通讯作者：
Chih-te Yang;L. Ouyang;H. Yen;Kuo-liang Lee
中科院分区：
文献类型：
--
作者：
Chih-te Yang;L. Ouyang;H. Yen;Kuo-liang Lee
近年来，由于新兴国家经济的快速发展，全球原材料价格一直在上涨。在当今信息无限制的环境下，供应商通常会在特定时间宣布即将提高供应价格。这使得零售商能够在价格上涨生效之前以当前价格补充库存。然而，供应商在价格上涨之前通常只会提供有限的数量，以避免订单过多。零售价格通常会反映供应价格的任何上涨，因为市场需求取决于零售价格。本文考虑易变质物品，并研究（1）供应价格上涨对零售定价可能产生的影响，以及（2）在特殊订单数量有限且需求取决于零售价格的条件下的订购策略。本文的目的是确定最优的特殊订单数量和零售价格，以使利润最大化。我们的理论分析探讨了最优解的必要和充分条件，并建立了一种算法来获得最优解。此外，还给出了几个数值例子来说明所建立的模型和求解过程。最后，针对主要参数对最优解进行了敏感性分析。
Recently, due to rapid economic development in emerging nations, the world's raw material prices have been rising. In today's unrestricted information environment, suppliers typically announce impending supply price increases at specific times. This allows retailers to replenish their stock at the present price, before the price increase takes effect. The supplier, however, will generally offer only limited quantities prior to the price increase, so as to avoid excessive orders. The retail price will usually reflect any supply price increases, as market demand is dependent on retail price. This paper considers deteriorating items and investigates (1) the possible effects of a supply price increase on retail pricing, and (2) ordering policies under the conditions that special order quantities are limited and demand is dependent on retail price. The purpose of this paper is to determine the optimal special order quantity and retail price to maximize profit. Our theoretical analysis examines the necessary and sufficient conditions for an optimal solution, and an algorithm is established to obtain the optimal solution. Furthermore, several numerical examples are given to illustrate the developed model and the solution procedure. Finally, a sensitivity analysis is conducted on the optimal solutions with respect to major parameters.