考虑运作风险的易腐产品生产配送随机规划模型

摘要/Abstract

摘要： 针对多层级易腐产品供应网络的特性，分析了风险因素对供应网络运作过程的影响，并针对5种关键风险因素，即质量风险、运输风险、生产风险、库存风险和需求风险进行量化分析；提出了生命周期固定的库存原材料的动态调度策略；结合运作风险及库存策略建立了多层级、多时段的易腐产品供应网络生产与配送过程的随机规划模型。在分析模型特点的基础上，用Ilog Cplex对模型进行求解。最后结合实际案例，分析了各种风险因子对供应链整体运作的影响，仿真结果表明了该方法的有效性和实用性。

关键词: 供应链, 随机规划, 生产与配送, 易腐产品

Abstract: The operations of a supply network for short life cycle products are characterized by uncertainties of risks, such as quality risk, delivery risk, production risk, inventory risk, and demand risk. The effect of these risks on the operations of the network is analyzed. Then, an inventory, production, and distribution policy is proposed. With this policy, a stochastic programming model is build. By analyzing the characteristics of the model, based on ILOG CPLEX, a dispatching solution method is developed to solve the problem. With some practical cases, the impact of various risk factors on operation process of the overall supply chain is analyzed. Simulation results show that the obtained inventory strategies are effective and practical.

Key words: supply chain, stochastic programming, production and distribution, perishable products

刘凯飞，刘晓. 考虑运作风险的易腐产品生产配送随机规划模型[J]. 工业工程, 2013, 16(1): 38-44.

Liu Kai-fei, Liu Xiao. A Stochastic Model for Perishable Product Production and Distribution with Operation Risks[J]. Industrial Engineering Journal , 2013, 16(1): 38-44.

参考文献

［1］WHO/FAO. Risk assessment of microbiological hazards in foods［R］. Report of a Joint FAO/WHO Expert Consultation, Geneva, Switzerland：World Health Organisation,1999: 24. ［2］Davidson V I, Ryks J， Fazil A. Fuzzy risk assessment tool for microbial hazards in food system［J］. Fuzzy Sets and Systems, 2006，157(9): 1201-1210. ［3］Paulsson U. Supply chain risk management［C］∥Brindley C. Supply Chain Risk. UK:Ashgate Publishing Limited, 2004:79-86. ［4］Christopher S Tang. Perspectives in supply chain risk management ［J］.International Journal of Production Economics, 2006，103(2): 451-488. ［5］Chopra S, Mohan M, Sodhi S.Managing risk to avoid supply chain breakdown［EB/OL］.［2004-10-15］.http:∥sloanreview.mit.edu/the-magazine/2004-fall/46109/managing-risk-to-avoid-supplychain-breakdown. ［6］Cavinato J L.Supply chain logistics risks: from the back room to the board room［J］. International Journal of Physical Distribution & Logistics Management,2004,34(5):230-354.〖JP〗 ［7］Steven Nahmias. Perishable inventory theory: a review ［J］. Operations Research, 1982, 30 (4): 680-708. ［8］Fred Raafat. Survey of literature on continuously deteriorating inventory models ［J］. The Journal of Operational Research Society, 1991, 42 (1): 27-37. ［9］Goyal S K, Giri B C. Recent trends in modeling of deteriorating inventory［J］. European Journal of Operational Research, 2001,134(1): 1-16. ［10］Minner S, Transchel S. Periodic review inventory-control for perishable products under service-level constraints［J］. Operational Research Spectrum, 2010, 32(4):979-996. ［11］Chen Huey-kuo, Hsueh Che-fu.Production scheduling and vehicle routing with time windows for perishable food products ［J］. Computers & Operations Research, 2009,39(7):2311-2319. ［12］Wang Xiao-jun.A fuzzy enabled model for aggregative food safety risk assessment in food supply chains［EB/OL］.(2008-10-12). http:∥ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=4683030& contentType=Conference+Publications&searchField%3DSearch_All%26queryText%3DA+fuzzy+Enabled+Model+for+Aggregative+Food+Safety+Risk+Assessment+in+Food+Supply+Chains. ［13］Ortega M，Lin L. Control theory applications to the production-inventory problem: a review ［J］. International Journal of Production Research, 2004, 42 (11): 2303-2322. ［14］Wang X, Li D, Obrien C, et al. A production planning model to reduce risk and improve operations management ［J］. International Journal of production Economics, 2010,124(2):463-464. ［15］Pawsey R K. Preventing losses and preserving quality in food cargoes［EB/OL］.［2011-12-15］.http:∥www.fao.org/ docrep/V9723t/v9723t05.htm. ［16］Ana Osvald, Lidija Zadnik Stirn. A vehicle routing algorithm for the distribution of fresh vegetables and similar perishable food［J］.Journal of Food Engineering, 2008,85(2):285-295. ［17］Hong K Lo, Yeou-Koung Tung. Network with degradable links: capacity analysis and design ［J］. Transportation Research Part B, 2002,37(4):345-363. ［18］Tu Hui-zhao, Hans Van Lint,Henk van Zuylen. The effects of traffic accidents on travel time reliability［EB/OL］.［2008-10-12］. http:∥ieeexplore.ieee.org/xpl/articleDetails.jsp? tp=&arnumber=4732581&contentType=Conference+Publications &searchField%3DSearch_All%26queryText%3DThe+Effects+of+Traffic+Accidents+on+Travel+Time+Reliability. ［19］Lutke M, Gunther H O, Van Beek P,et al. Mixed-integer linear programming approaches to shelf-life-integrated planning and scheduling in yoghurt production ［J］. International Journal of Production Research, 2005,43(23): 5071-5100.〖JP〗 ［20］Craig L Williams, Eddy Patuwo B. A perishable inventory model with positive order lead time ［J］.European Journal of Operational Research, 1999,116(2):352-373.

[1]	杜建国, 王雅柔. 考虑公平关切的低碳双渠道供应链决策研究[J]. 工业工程, 2021, 24(5): 18-26.
[2]	覃燕红, 向林, 秦星红. 公平偏好下考虑双边保鲜努力的生鲜农产品供应链协调研究[J]. 工业工程, 2021, 24(5): 27-38.
[3]	邵必林, 崔梦桦. 考虑零售商公平关切的绿色供应链主体行为演化博弈研究[J]. 工业工程, 2021, 24(5): 124-131.
[4]	李林, 雷雅琳, 何建洪. 消费者绿色偏好、参考价格效应与供应链绿色创新[J]. 工业工程, 2021, 24(4): 20-26.
[5]	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.
[6]	闵杰, 杨冉, 欧剑, 曹宗宏. 基于双向成本分担的绿色供应链运营策略研究[J]. 工业工程, 2021, 24(4): 36-44.
[7]	彭永涛, 陆含, 赵艳萍. 面向延保服务的网购供应链协调策略研究[J]. 工业工程, 2021, 24(4): 45-55.
[8]	李晓华, 邵举平, 孙延安. 基于SD及三方博弈的低碳供应链消费市场活力激发研究[J]. 工业工程, 2021, 24(4): 150-159.
[9]	吴春尚. 基于Stackelberg博弈模型的不同主导权的三级农产品电商供应链决策分析[J]. 工业工程, 2021, 24(4): 160-167.
[10]	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.
[11]	聂佳佳, 胡元潇. 制造商生产成本结构对其线上销售模式选择的影响[J]. 工业工程, 2021, 24(3): 18-25,33.
[12]	王继光, 冯琪卿, 齐凯. 供应中断和需求扰动下供应链竞合关系研究[J]. 工业工程, 2021, 24(3): 46-53,59.
[13]	刘昊, 樊毓卿, 张诗青. 碳限额交易机制下低碳供应链协调策略[J]. 工业工程, 2021, 24(3): 60-67,82.
[14]	黄帅, 杨玉中. 基于互补产品的双渠道供应链合作广告博弈分析[J]. 工业工程, 2021, 24(3): 153-160.
[15]	李芳, 马艳, 王豪丽. 制造商主导下差别主体努力的闭环供应链决策研究[J]. 工业工程, 2021, 24(2): 27-33.