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首页> 外文期刊>Journal of industrial and management optimization >JOINT PRICING AND ORDERING POLICIES FOR DETERIORATING ITEM WITH RETAIL PRICE-DEPENDENT DEMAND IN RESPONSE TO ANNOUNCED SUPPLY PRICE INCREASE
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JOINT PRICING AND ORDERING POLICIES FOR DETERIORATING ITEM WITH RETAIL PRICE-DEPENDENT DEMAND IN RESPONSE TO ANNOUNCED SUPPLY PRICE INCREASE

机译:零售价与需求有关的变质物品的联合定价和订购政策,以应对宣布的供应价格上涨

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摘要

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.
机译:最近,由于新兴国家经济的快速发展,世界原材料价格一直在上涨。在当今不受限制的信息环境中,供应商通常会宣布在特定时间即将增加的供应价格。这使零售商可以在提价生效之前以当前价格补充库存。但是,供应商通常会在提价之前只提供有限的数量,以避免过多的订单。零售价格通常将反映任何供应价格的上涨,因为市场需求取决于零售价格。本文考虑了恶化的物品,并研究了(1)供应价格上涨对零售价格的可能影响,以及(2)在特殊订货数量有限且需求取决于零售价格的情况下的订购政策。本文的目的是确定最佳的特殊订单数量和零售价格以使利润最大化。我们的理论分析检查了最优解的必要和充分条件,并建立了一个算法来获得最优解。此外,给出了几个数值示例来说明开发的模型和求解过程。最后,针对主要参数对最佳解决方案进行了敏感性分析。

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    Department of Industrial Management Chien Hsin University of Science and Technology Jung-Li, Taoyuan 320, Taiwan;

    Department of Management Sciences, Tamkang University Tamsui, Taipei 251, Taiwan;

    Department of Accounting, Tamkang University Tamsui, Taipei 251, Taiwan;

    Department of Industrial Management Chien Hsin University of Science and Technology Jung-Li, Taoyuan 320, Taiwan;

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