基于突发事件的易腐产品分销计划问题

上海交通大学学报（自然版） ›› 2011, Vol. 45 ›› Issue (12): 1800-1806.

基于突发事件的易腐产品分销计划问题

陈休晔1,刘晓1，邵鲁生2

(1. 上海交通大学机械动力与工程学院, 上海 200240; 2.东北大学工商管理学院, 沈阳 110004)

收稿日期:2010-11-09 出版日期:2011-12-31 发布日期:2011-12-31
基金资助:
国家自然科学基金资助项目(70972099,70702038,91024013,91024131)

Perishable Products Distribution Planning Problem Based on Disruptions

CHEN Xiu-Ye-1, LIU Xiao-1, SHAO Lu-Sheng-2

(1. School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China; 2. School of Business Administration, Northeastern University, Shenyang 110004, China)

Received:2010-11-09 Online:2011-12-31 Published:2011-12-31

摘要/Abstract

摘要： 针对基于突发事件的易腐产品分销计划问题，在量化了由易腐产品质量衰减导致的质量损失成本的基础上，首先在分销网络正常运行和突发事件发生造成供应链网络中节点失效2种情形下，分别建立了在有限资源约束下的单目标多时段成本优化数学模型.其次，设计了相应的算法对模型进行求解.最后，仿真实验证明了所提出算法的有效性，同时，也验证了针对突发事件所提出的基于紧急订货和节点扩容策略的应急计划是有效的.

关键词: 易腐产品, 供应链计划, 紧急订货, 节点扩容, 突发事件

Abstract: This paper addresses the perishable products distribution planning problem based on disruptions. Based on quantification of the quality loss cost caused by the decrease of the quality of perishable products, as regards to the normal operation of the supply chain network and the situation that a node in the supply chain network failure caused by the disruptions, two optimal models were developed to minimize the total cost under constraints of limited resources respectively. Subsequently, the paper designed related algorithms. The simulation results validate the effectiveness of the algorithms and the emergency planning based on emergency orders strategy and expansion of the nodes’ capacity strategy proposed in this paper.

Key words: disruptions, perishable products, supply chain planning, emergency orders, expansion of the nodes&rsquo, capacity

中图分类号:

F274

陈休晔1, 刘晓1, 邵鲁生2. 基于突发事件的易腐产品分销计划问题[J]. 上海交通大学学报（自然版）, 2011, 45(12): 1800-1806.

CHEN Xiu-Ye-1, LIU Xiao-1, SHAO Lu-Sheng-2. Perishable Products Distribution Planning Problem Based on Disruptions[J]. Journal of Shanghai Jiaotong University, 2011, 45(12): 1800-1806.

参考文献

［1］Dabbene F, Gay P, Sacco N. Optimization of freshfood supply chains in uncertain environments, Part I: Background and methodology ［J］. Biosystems Engineering, 2008, 99: 348359.

［2］Chena H, Hsuehb C, Changc M. Production scheduling and vehicle routing with time windows for perishable food products［J］. Computers & Operations Research, 2009, 36: 23112319.

［3］Eksioglu S D, Romeijn H E, Pardalos P M. Crossfacility management of production and transportation planning problem［J］. Computers & Operations Research, 2006, 33(11): 32313251.

［4］Leung S C H, Wan L N. A goal programming model for production planning of perishable products with postponement［J］. Computer & Industrial Engineering, 2007, 53(3): 531541.

［5］Ahuja R K, Huang W, Romeijn H E, et al. A heuristic approach to the multiperiod singlesourcing problem with production and inventory capacities and perishability constraints［J］. Informs Journal on Computing, 2007, 19(3): 1426.

［6］Zanoni S, Zavanella L. Singlevendor singlebuyer with integrated transport inventory system: Model and heuristics in the case of perishable goods［J］. Computer & Industrial Engineering, 2007, 52(1): 107123.

［7］Adegoke O, Mohan G. Managing disruptions in supply chains: A case study of a retail supply chain［J］. International Journal of Production Economics, 2009, 118: 168174.

［8］Kleindorfer P R, Saad G H. Managing disruption risks in supply chains［J］. Production and Operations Management, 2005, 14(1): 5368.

［9］Chopra S C, Sodhi M S. Managing risk to avoid supplychain breakdown［J］. MIT Sloan Management Review, 2004,46 (1): 5361.

［10］Hendricks K B, Singhal V R. An empirical analysis of the effect of supply chain disruptions on logrun stock price and equity risk of the firm［J］. Production and Operations Management, 2005, 14（1): 3552.

［11］Tagaras G, Vlachos D. A periodic review inventory system with emergency replenishment［J］. Management Science, 2001, 47(3): 415429.

［12］Wijngaard J, Miltenburg G J. On the cost of using capacity flexibility—A dynamic programming approach［J］. International Journal of Production Economics, 1997, 53(1): 1319.

［13］Osvald A, Stirn L Z. A vehicle routing algorithm for the distribution of fresh vegetables and similar perishable food［J］. Journal of Food Engineering, 2008, 85(2): 285295.

［14］Williams C L, Patuwo B E. A perishable inventory model with positive order lead time［J］. European Journal of Operational Research, 1999, 116(2): 35237.

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