模糊需求下的易腐品供应链中零售商决策模型
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- 英文论文题名：Retailer's Decision Model of Perishable Supply Chain Based on Fuzzy Demand
- 论文作者：张莉 ; 胡小建 ; 卢朝东
- 英文论文作者：ZHANG Li ; HU Xiao-jian ; LU Chao-dong ; School of Management ; Hefei University of Technology ; Department of economics and management ; Bozhou University
- 年：2016
- 作者机构：合肥工业大学管理学院;亳州学院经济与管理系;
- 论文关键词：易腐品供应链 ; 模糊需求 ; 损耗率 ; 零售商模型
- 英文论文关键词：perishable supply chain ; fuzzy demand ; loss rate ; retailer model
- 会议召开时间：2016-11-12
- 会议录名称：第十八届中国管理科学学术年会论文集
- 英文会议录名称：Proceedings of the 18th Chinese Annual Conference on Management Science
- 语种：中文
- 分类号：F274
- 学会代码：ZHYJ
- 会议名称：第十八届中国管理科学学术年会
- 会议地点：中国陕西西安
- 主办单位：中国优选法统筹法与经济数学研究会、西安交通大学、中国科学院科技战略咨询研究院、《中国管理科学》编辑部
- 学会名称：中国优选法统筹法与经济数学研究会
- 页数：5
- 文件大小：336k
- 原文格式：O
- 会议级别：全国
摘要
在易腐品供应链中零售商的订货量决策对整个供应链的绩效有很大影响,但需求不确定加大了零售商决策难度。文章利用三角模糊数处理外部需求的不确定性,并考虑易腐品的损耗率为常数的情况下构建零售商决策模型。最后利用算例对模型进行验证,得到零售商获得最大利润下的最有订货量。
In the supply chain of perishable products,retailer's decision on the order quantity has a great influence on the performance of the whole supply chain,but the demand uncertainty addes to the difficulties in retailer's decision-making.In this paper,the triangular fuzzy number is used to deal with external demand uncertainty,and retailer's decision model is built on the condition that the perishable goods loss rate is constant.Finally,a numerical example is used to verify the model,and work out the best order quantity for the retailer to obtain the maximum profit.
In the supply chain of perishable products,retailer's decision on the order quantity has a great influence on the performance of the whole supply chain,but the demand uncertainty addes to the difficulties in retailer's decision-making.In this paper,the triangular fuzzy number is used to deal with external demand uncertainty,and retailer's decision model is built on the condition that the perishable goods loss rate is constant.Finally,a numerical example is used to verify the model,and work out the best order quantity for the retailer to obtain the maximum profit.
引文
[1]Chung K J,Lin Chuanneng.Optimal inventory replenishment models for deteriorating items taking account of time discounting[J].Computers&Operations Research,2001,28(1):67-83.
[2]Arcelus F J,Shah N H,Srinivasan G.Retailer's pricing,credit and inventory policies for deteriorating items in response to temporary price/credit incentives[J].International Journal of Production Economics,2003,81-82:153-162.
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[5]安恰,骆建文.基于价格折扣的易腐物品供应链库存的协作控制研究[J].管理工程学报,2007,21(4):80-84.
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[8]Sarkar T,Ghosh S K,Chaudhuri K S.An optimal inventory replenishment policy for a deteriorating item with time-quadratic demand and time-dependent partial backlogging with shortages in all cycles[J].Applied Mathematics&Computation,2012,218(18):9147-9155.
[9]贾涛,郑毅,常建龙.两级商业信用下存在顾客预付的易腐品库存模型[J].中国管理科学,2013,21(6):80-87.
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[11]Sarkar B.A production-inventory model with probabilistic deterioration in two-echelon supply chain management[J].Applied Mathematical Modelling,2013,37(5):3138-3151.
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[13]Xu Ruoning,Zhai Xiaoyan.Analysis of supply chain coordination under fuzzy demand in a two-stage supply chain[J].Applied Mathematical Modelling,2010,34(1),129-139.
[14]桑圣举,张强,武建章.模糊需求环境下供应链成员间的协调机制分析[J].计算机集成制造系统,2010,16(2):356-364.
[15]桑圣举,张强.模糊需求下级供应链的收益共享契约机制研究[J].中国管理科学,2013.21(3):127-136.
[16]王宁宁,王晓欢,樊治平.模糊需求下考虑公平关切的收益共享契约与协调[J].中国管理科学,2015,23(8):139-147.
[17]Chakraborty D.Jana D K.Roy T K.Multi-item integrated supply chain model for deteriorating items with stock dependent demand under fuzzy random and bifuzzy environments[J].Computers&Industrial Engineering,2015,88:166-180.
[18]Xu Ruoning.Zhai Xiaoyan.Optimal models for singleperiod supply chain problems with fuzzy demand[J].Information Sciences,2008,178(17),3374-3381.
[2]Arcelus F J,Shah N H,Srinivasan G.Retailer's pricing,credit and inventory policies for deteriorating items in response to temporary price/credit incentives[J].International Journal of Production Economics,2003,81-82:153-162.
[3]Benkherouf L,Boumenir A.Aggoun L.A diffusion inventory model for deteriorating items[J].Applied Mathematics&Computation,2003,138(1):21-39.
[4]Yang P C,Wee H M.An integrated multi-lot-size production inventory model for deteriorating item[J].Computers&Operations Research,2003,30(5):671-682.
[5]安恰,骆建文.基于价格折扣的易腐物品供应链库存的协作控制研究[J].管理工程学报,2007,21(4):80-84.
[6]但斌,陈军.基于价值损耗的生鲜农产品供应链协调[J].中国管理科学,2008,16(5):42-49.
[7]Thangam A,Uthayakumar R.Two-echelon trade credit financing for perishable items in a supply chain when demand depends on both selling price and credit period[J].Computers&Industrial Engineering,2009,57(3):773-786.
[8]Sarkar T,Ghosh S K,Chaudhuri K S.An optimal inventory replenishment policy for a deteriorating item with time-quadratic demand and time-dependent partial backlogging with shortages in all cycles[J].Applied Mathematics&Computation,2012,218(18):9147-9155.
[9]贾涛,郑毅,常建龙.两级商业信用下存在顾客预付的易腐品库存模型[J].中国管理科学,2013,21(6):80-87.
[10]Das B C,Das B,Mondal S K.Integrated supply chain model for a deteriorating item with procurement cost dependent credit period[J].Computers&Industrial Engineering,2013,64(3):788-796.
[11]Sarkar B.A production-inventory model with probabilistic deterioration in two-echelon supply chain management[J].Applied Mathematical Modelling,2013,37(5):3138-3151.
[12]Wang W CTeng J T.Lou K R.Seller's optimal credit period and cycle time in a supply chain for deteriorating items with maximum lifetime[J].European Journal of Operational Research,2014,232(2):315-321.
[13]Xu Ruoning,Zhai Xiaoyan.Analysis of supply chain coordination under fuzzy demand in a two-stage supply chain[J].Applied Mathematical Modelling,2010,34(1),129-139.
[14]桑圣举,张强,武建章.模糊需求环境下供应链成员间的协调机制分析[J].计算机集成制造系统,2010,16(2):356-364.
[15]桑圣举,张强.模糊需求下级供应链的收益共享契约机制研究[J].中国管理科学,2013.21(3):127-136.
[16]王宁宁,王晓欢,樊治平.模糊需求下考虑公平关切的收益共享契约与协调[J].中国管理科学,2015,23(8):139-147.
[17]Chakraborty D.Jana D K.Roy T K.Multi-item integrated supply chain model for deteriorating items with stock dependent demand under fuzzy random and bifuzzy environments[J].Computers&Industrial Engineering,2015,88:166-180.
[18]Xu Ruoning.Zhai Xiaoyan.Optimal models for singleperiod supply chain problems with fuzzy demand[J].Information Sciences,2008,178(17),3374-3381.