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可控变质率下基于商业信用的易逝品库存优化模型 被引量:14

Inventory Optimization Model of Perishable Product with Controlled Deterioration Rate under Trade Credit
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摘要 论文考虑产品保鲜技术投入对易逝品变质率的影响,并在商业信用支付模式下,探讨了采购商的最优订货策略及技术投入策略。首先,分两种情形构建了采购商的最优库存模型;其次,通过理论推导,求解采购商的最优订货周期、最优订货量及其最优技术投入策略;最后,通过数值分析对文章中的定理结论进行了验证,并对有关参数进行了灵敏度分析。研究发现,当保鲜技术投资对产品变质率有较强影响时,采购商保鲜技术投资较低,最优订货周期延长;当产品的自然变质率增加时,采购商为了降低变质率会增加保鲜技术投资量,总利润会减少;当供应商给予采购商的商业信用期增加时,最优保鲜技术投资量和最优订货周期减小。 Many firms selling the perishable products adopt the trade credit strategy;meanwhile,they employ a certain technology to reduce the deterioration rate of the products.Therefore,in this paper,the affection of the preservation technology investment is considered to the deterioration rate of the perishable goods,to discuss the purchaser's optimal ordering strategy and technology investment strategies in the trade credit payment mode.First of all,according to the trade credit period and the ordering cycle,the relationship between the purchaser's interest income and the interest payments are divided into the two cases.Secondly,by theoretical derivation,the optimal order strategies can be obtained and give out the optimal preservation technology investment strategy is given out.Finally,the theorem and the conclusions of this paper are verified by the numerical analysis,and also make sensitivity analysis of parameters.It is found that,when the preservation technology investment has a strong influence on the deteriorating rate,the purchaser preservation technology investment is low and the optimal order cycle is prolonged;when the natural deteriorating rate of the product increases,the purchaser increases the investment amount of preservation technology in order to reduce the deterioration rate,and its profit decreases;when the credit period given by supplier to procurement business increases,the firm's optimal preservation technology investment amount and order cycle decrease and its profit increases.
出处 《中国管理科学》 CSSCI CSCD 北大核心 2017年第12期9-16,共8页 Chinese Journal of Management Science
基金 国家自然科学基金资助项目(71302115 71502123)
关键词 商业信用 技术投入 易逝品 库存优化 trade credit technology investment perishable goods inventory optimization
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  • 1邱昊,梁樑,杨树.供应商给定延期付款和现金折扣策略下的零售商最优库存策略[J].系统工程,2006,24(9):18-23. 被引量:23
  • 2Bhunia A K, Maiti M. An inventory model of deteriorating items with lot-size dependent replenishment cost and a linear trend in demand[J]. Applied Mathematical Modeling, 1999, 23:301-308.
  • 3Cheng M B, Wang G Q. A note on the inventory model for deteriorating items with trapezoidal type demand rate [J]. Computers & Industrial Engineering, 2009,56 (4) : 1296-1300.
  • 4Begum R, Sahu S K, Sahoo R R. An EOO model for deteriorating items with weibull distribution deterioration, unit production cost with quadratic demand[J]. Applied Mathematical Sciences, 2010, 4, (6) :271-288.
  • 5Papachristos S, Skouri K. An optimal replenishment policy for deteriorating items with time varying demand and partial exponential type backlogging[J]. Operations Research Letters, 2000, 27 (4):175-184.
  • 6Chu P, Chen P S. A note on inventory replenishment policies for deteriorating items in an exponentially declining market [J]. Computers & Operations Research, 2002,29 (13) :1827-1842.
  • 7Chung K J,Tsai S F. An algorithm to determine the EOQ for deteriorating items with shortage and a linear trend in demand [J]. International Journal Production Economics, 1997, 51: 215-221.
  • 8Chen J M, Lin C S, An optimal replenishment model for inventory items with normally distributed deterioration[J]. Production planning &control, 2002, 13 (5) :470-480.
  • 9Yang P C, Wee H M. A single-vendor and multiplebuyers production-inventory policy for a deterioratingitem[J]. European Journal of Operational Research, 2002, 143: 570-581.
  • 10Rau H, Wu M Y, Wee H M. Integrated inventory model for deteriorating items under a multi-echelon supply chain environment [J]. International Journal Production Economics, 2003, 85(2):158-168.

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