不确定环境下快速消费品生产配送鲁棒优化模型  

A Robust Optimization Model for Production and Distribution Planning of Fast Moving Consumer Goods under Uncertainty

作　　者：刘星[1] 李波[1] 刘海[2] 

机构地区：[1]天津大学管理与经济学部,天津300072 [2]郑州大学商学院,河南郑州450052

出　　处：《运筹与管理》2016年第4期57-62,共6页Operations Research and Management Science

基　　金：新世纪优秀人才支持计划资助项目(NCET-06-0236);高等学校博士学科点专项科研基金资助项目(20100032110034)

摘　　要：在具有生产准备决策的生产环节,考虑生产成本、加班成本及客户需求的不确定性,建立一个鲁棒优化模型,来解决多周期、多产品、多工厂、多配送中心的快速消费品生产配送集成调度问题。模型目标是最小化生产准备成本、生产成本、库存成本及配送成本。最后提出一个算例来说明所提出的模型和方法的适用性和实用性,并分析解鲁棒性和模型鲁棒性。Considering the production setup decisions and uncertainty of customer demand, production cost and overtime cost, a robust optimization model is presented to solve the real world integrated production and distribution problem of multi-period, multi-product, multi-plant and multi-distribution-center of fast moving consumer goods, for minimization of the production setup cost, production cost, inventory cost and distribution cost. An illustrative example is also provided to show the applicability and usefulness of the proposed model and solution method. The tradeoff between solution robustness and model robustness is also analyzed.

关 键 词：生产配送问题 集成调度 鲁棒优化 快速消费品 

分 类 号：F253.4[经济管理—国民经济]