基于网络图需求随机的供应链网络设计研究

工业工程 ›› 2012, Vol. 15 ›› Issue (6): 102-107.

基于网络图需求随机的供应链网络设计研究

天津大学管理与经济学部，天津 300072

出版日期:2012-12-31 发布日期:2013-01-15
作者简介:蒋铁生(1988-),男,湖南省人,硕士研究生,主要研究方向为供应链设计,物流系统优化等.
基金资助:
高等学校博士学科等专项科研基金资助项目（20100032110034）

Network Design for Supply Chain with Stochastic Demand Based on Network Diagram

School of Management, Tianjin University, Tianjin 300072, China

Online:2012-12-31 Published:2013-01-15

摘要/Abstract

摘要： 运用网络图表述供应链网络基本结构，将供应链网络设计简化为各节点的能力设计及流量设计，建立了随机供应链网络的均衡条件。通过对随机因素进行简化处理，分别探讨了需求随机时制造中心及配送中心的优化决策，构建了从制造中心角度出发的制造、运输集成优化模型及从配送中心角度出发的库存、配送集成优化模型，并用变分不等式给出了最优条件，进而构建随机供应链网络集成设计模型。最后，通过数值实例的分析，验证了随机模型的有效性。

关键词: 随机需求供应链, 网络图, 变分不等式, 优化

Abstract: A network diagram is used to represent the basic structure of a supply chain network such that the network design of a supply chain is simplified to determine the capacity and flow for each node. Based on the equilibrium conditions of the supply chain network and the simplified stochastic factors, the issue of optimal decisionmaking for both the manufacturing center and distribution center with stochastic demands is discussed. The optimality conditions are described by using variational inequalities. Then, a comprehensive supply chain network design model with stochastic demands is built. Analysis through numerical examples is used to illustrate the effectiveness of the model.

Key words: supply chain with stochastic demands, network diagram, variational inequalities, optimization

蒋铁生，李波. 基于网络图需求随机的供应链网络设计研究[J]. 工业工程, 2012, 15(6): 102-107.

Jiang Tie-sheng, Li Bo. Network Design for Supply Chain with Stochastic Demand Based on Network Diagram[J]. Industrial Engineering Journal , 2012, 15(6): 102-107.

参考文献

［1］Melo M T, Nickel S, Saldanha-da-Gama F. Facility location and supply chain management-A review［J］. European Journal of Operational Research. 2009, 196(2): 401-412. ［2］Cetinkaya S, Mutlu F, Lee C Y. A comparison of outbound dispatch policies for integrated inventory and transportation decisions ［J］. European Journal of Operational Research, 2006, 171(3):1094-1112. ［3］Chen Q, Li X, Ouyang Y. Joint inventory-location problem under the risk of probabilistic facility disruptions［J］. Transportation Research Part B: Methodological, 2011, 45(7): 991-1003. ［4］Liu S C, Lee W T. A heuristic method for the inventory routing problem with time windows［J］. Expert Systems with Applications, 2011, 38(10): 13223-13231. ［5］Nagy G, Salhi S. Location-routing,issues, models and methods ［J］. European Journal of Operational Research, 2007, 117(2):649-672. ［6］Barreto S, Ferreira C, Paixao J,et al. Using clustering analysis in a capacitated location routing problem［J］.European Journal of Operational Research, 2007, 179(3): 968-977． ［7］Shen Z J M, Qi L. Incorporating inventory and routing costs in strategic location models ［J］. European Journal of Operational Research, 2007, 179(2): 372-389. ［8］Amir Ahmadi Javid, Nader Azad. Incorporating location, routing and inventory decisions in supply chain network design ［J］. Transportation Research Part E: Logistic and Transportation Review, 2010, 46(5): 582-597. ［9］Zarandi M H F, Hemmati A, Davari S. The multi-depot capacitated location-routing problem with fuzzy travel times ［J］. Expert Systems with Applications,2011,38(8):10075-10084. ［10］谢芳,刘阶萍.基于启发式算法的动车组供应链网络设计［J］. 物流技术, 2010, 29(6): 71-74. Xie Fang, Liu Jie-ping. The EMU supply chain network olesign based on hewrisic algorithm ［J］.Logistics Techunology,2010,29(6):71-74. ［11］Klibi W, Martel A, Guitouni A. The design of robust value-creating supply chain network: A critical review ［J］. European Journal of Operational Research, 2010, 203(2): 283-293. ［12］Nagurney A. Supply chain network design under profit maximization and oligopolistic competition［J］. Transportation Research Part E: Logistic and Transportation Review, 2010, 46(3): 281-294. ［13］Nagurney A. Optimal supply chain network design and redesign at minimal total cost and with demand satisfaction ［J］. International Journal of Production Economics, 2010, 128(1): 200-208. ［14］桂云苗,龚本刚,程幼明.不确定条件下供应链网络鲁棒优化与算法［J］.统计与决策, 2011, 332(8): 172-172. Gui Yun-miao, Gong Ben-gang, Cheng You-ming. Robust optimization and algorithm of the supply chain network with uncertainty ［J］. Statistics and Decision, 2011, 332(8): 172-172.  ［15］Baumgartner K, Fuetterer A, Thonemann U W. Supply chain design considering economies of scale and transport frequencies ［J］. European Journal of Operational Research, 2012, 218(3): 789-800.

[1]	侯玉梅, 郑迪文, 孔乐佳, 沈梦思, 高晓娜. 消费者策略行为下全渠道服务区域及定价的优化研究[J]. 工业工程, 2021, 24(5): 55-62.
[2]	李广振, 徐志刚, 刘松凯, 任朝晖. 装配线仿真流程及其案例研究[J]. 工业工程, 2021, 24(5): 152-158.
[3]	董海, 吴瑶. 基于PIWOA的绿色闭环供应链网络多目标模糊优化设计[J]. 工业工程, 2021, 24(4): 27-35.
[4]	王铁铮, 胡亚楠, 潘焜, 喻晓. 基于多智能体强化学习的自动化电力仓库货位优化[J]. 工业工程, 2021, 24(4): 93-99.
[5]	林瀚盛, 屈挺, 徐素秀, THüRER Matthias, 郭洪飞, 黄国全. 双渠道多级分销网络库存整合优化配置[J]. 工业工程, 2021, 24(4): 134-142.
[6]	曹炳汝, 朱博文. 考虑再制造投资的闭环供应链网络均衡模型[J]. 工业工程, 2021, 24(3): 1-9.
[7]	彭辉, 赵宁, 孙阳君. 面向货到人拣货机器人系统的数字孪生系统[J]. 工业工程, 2021, 24(3): 121-129.
[8]	李玉民, 邱梦, 黑柏林, 方曾利. 考虑高铁时间窗和客户满意度的生鲜品公铁联运路径选择[J]. 工业工程, 2021, 24(2): 49-56.
[9]	蒋红飞, 屈挺, 张凯, 黄国全. 基于数字孪生的高动态生产系统联动决策方法[J]. 工业工程, 2021, 24(2): 57-67.
[10]	戴韬, 沈静. 基于众包的外卖配送订单选择研究[J]. 工业工程, 2021, 24(2): 125-133.
[11]	马跃如, 文铮, 易丹. 考虑老年人满意度的多目标居家养老护理员路径优化[J]. 工业工程, 2021, 24(1): 74-81,103.
[12]	刘雪红, 张涛, 彭兆, 王磊. 面向医疗器械企业灭菌工艺的不同容量平行机批调度[J]. 工业工程, 2021, 24(1): 82-89.
[13]	李雪, 李芳. 云环境下大规模定制中资源配置研究[J]. 工业工程, 2021, 24(1): 147-154.
[14]	曹振宇, 蒋阳升, 罗孝羚, 杨洁, 张姚. 中小城市直达公交网络优化[J]. 工业工程, 2020, 23(6): 117-123.
[15]	李魁梅, 郑波. 考虑综合运输成本的多式联运路径优化问题[J]. 工业工程, 2020, 23(5): 67-74.