题名

Economic Ordering Model for a Single-period Perishable Commodity with Volatile Demand Given a Multi-tier Return Rebate Policy

DOI

10.6186/IJIMS.2012.23.2.1

作者

Ming-Guan Huang

关键词

Economic ordering model ; inventory management ; perishable commodity ; return policy

期刊名称

International Journal of Information and Management Sciences

卷期/出版年月

23:2(2012 / 06 / 01)

页次

129 - 147

内容语文

英文

英文摘要

A return policy is commonly recognized as an effective device for achieving channel coordination. Suppliers for perishable commodities especially tend to use return policies as incentive to encourage retailers to purchase larger quantities. Accordingly, this study focuses on developing the optimal order quantity model for retailers of such a single-period perishable commodity in situations involving volatile market demand to maximize the expected profit during the upcoming selling season. Dissimilar from previous researches, this study conceives of an effective and practical returns policy that allowances are based on a multi-tier decreasing return rebate policy, each of which is applied to one of arranged return quantity intervals to induce retailers to sell items more aggressively. Finally, a numerical example and sensitivity analysis is illustrated to verify the practicability and validity for the optimal order quantity model presented here and realize the effects of changes in the value of primary model parameters.

主题分类 基礎與應用科學 > 資訊科學
社會科學 > 管理學
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被引用次数
  1. Chen, Po-yuan,Chang, Horng-Jinh(2014).The Pricing of a Supply Contract under Uncertainty with Long-Range Dependence.International Journal of Information and Management Sciences,25(1),35-49.
  2. Tripathi, R. P.,Pandey, Hari Shyam(2013).An EOQ Model for Deteriorating Items with Weibull Time - Dependent Demand Rate under Trade Credits.International Journal of Information and Management Sciences,24(4),329-347.
  3. Yu, Jonas C. P.,Wu, Chia-Hung,Chen, Jen-Ming(2014).Pricing Strategy for Product Reuse with Multiple Quality Levels and Price- and Availability-Dependent Demand.International Journal of Information and Management Sciences,25(1),51-66.