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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/92458

    Title: Joint pricing and ordering policies for deteriorating item with retail price-dependent demand in response to announced supply price increase
    Authors: Yang, Chih-Te;Ouyang, Liang-Yuh;Yen, Hsiu-Feng;Lee, Kuo-Liang
    Contributors: 淡江大學管理科學學系
    Keywords: Inventory;price increase;price-dependent demand;limited special order quantity;deteriorating items
    Date: 2013-04
    Issue Date: 2013-10-14 16:04:46 (UTC+8)
    Abstract: 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.
    Relation: Journal of Industrial and Management Optimization 9(2), pp.437-454
    DOI: 10.3934/jimo.2013.9.437
    Appears in Collections:[Department of Management Sciences] Journal Article

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