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斜坡需求下延迟补货的高科技产品EOQ模型
引用本文:罗兵,李淑梅,周凌燕. 斜坡需求下延迟补货的高科技产品EOQ模型[J]. 工业工程, 2016, 19(4): 36
作者姓名:罗兵  李淑梅  周凌燕
作者单位:(1.重庆大学 经济与工商管理学院,重庆 400030; 2.重庆大学 现代物流重庆市重点实验室,重庆 400030)
基金项目:国家自然科学基金资助项目(71271225)
摘    要:高科技产品是科技发展的产物,对发展国家经济和提高人民群众的生活水平起着重要的作用。考虑高科技产品斜坡需求和延迟补货受时间和价格影响的特点,将顾客分为价格偏好者和时间偏好者,构造了2种不同的延迟函数,建立了相应的经济订货批量模型,采用数值仿真分析了系统主要参数对高科技产品订货策略和总利润的影响。研究结果表明:需求增长因子、价格敏感因子以及资金贴现率对订货次数和服务水平的影响比其它因素大;需求增长期长度、价格偏好者比例对服务水平的影响比订货次数大;计划期长度对服务水平的影响比订货次数小。

关 键 词:高科技产品   斜坡需求   延迟补货   经济订货批量模型(EOQ)  

The EOQ Model of High tech Product with Ramp Type Demand Rate and Delay Replenishment
LUO Bing,LI Shumei,ZHOU Lingyan. The EOQ Model of High tech Product with Ramp Type Demand Rate and Delay Replenishment[J]. Industrial Engineering Journal, 2016, 19(4): 36
Authors:LUO Bing  LI Shumei  ZHOU Lingyan
Affiliation:(1. School of Economics and Business Administration, Chongqing University, Chongqing 400030, China;2. Chongqing Key Laboratory of Logistics, Chongqing University, Chongqing 400030, China)
Abstract:High-tech products, which are the results of the development of science and technology, play a very important role not only in developing the state economy, but also in improving people's living standards. High-tech products are characterized by ramp type demand rate and delay replenishment mainly influenced by the price and waiting time. Customers are classified into two groups, price preference and time preference, two kinds of delay replenishment functions are presented, and a relevant economic order quantity (EOQ) model is generated, and finally the effect of key parameters on order policy and total profit of high-tech products is analyzed by numerical simulation. The results demonstrate that demand growth factor, price sensitive factor and discount rate have greater effects on ordering times and service level than other factors, interval length of demand growth, the proportion of price preference customers have greater effect on service level than ordering times, and length of planning horizon has a greater effect on ordering times than service level.
Keywords:
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