摘要
基于钢铁企业生产计划组织流程,提出MTO-MTS混合合同计划管理模式;分别建立了基于MTO管理模式和MTO-MTS混合管理模式的合同计划混合整数规划模型,模型中以提前/拖期惩罚、库存成本、生产能力未充分利用惩罚、库存匹配费用、合同取消惩罚总额最小为目标,同时考虑库存余材匹配和生产计划,并设计了对非可行解进行启发式修复的改进粒子群算法求解策略.仿真实验首先对参数设置进行分析,然后对多组数据进行实验,结果表明MTO-MTS管理模式能够规避需求预测不准确的风险,可以协调快速交货和降低库存的矛盾,更能适应客户需求多品种、小批量的发展趋势.
Based on the production organization processes of steel-iron factories, this paper proposes a hybrid MTO-MTS order planning management method, and establishes integer programming models for the order planning problems based on MTO management idea and MTO-MTS management idea respectively. The models take into account earliness/tardiness penalty, inventory cost, production cost, inventory matching cost and order cancellation penalty, and consider inventory matching and production planning simultaneously. In order to solve the models, a PSO algorithm with heuristic repaired strategy for infeasible solutions is designed. In the experiments, parameters are analyzed and three sets of data with different order quantities are tested. Numerical results show that the MTO-MTS management mode can avoid the risk of demand forecasting inaccuracy, coordinate the contradiction of fast delivery and low inventory, and adapt to the development trend of the diversification and individualization of market demand.
出处
《管理科学学报》
CSSCI
北大核心
2013年第6期35-45,共11页
Journal of Management Sciences in China
基金
国家自然科学基金资助项目(71171126
61170095)
国家自然科学基金重点资助项目(70931001)
教育部留学回国人员科研启动基金
上海市自然科学基金资助项目(09ZR1420400)
上海市哲学社会科学规划项目(2011BGL015)
关键词
面向订单
面向库存
合同计划
库存匹配
粒子群算法
make to order （MTO）
make to stock （MTS）
order planning
inventory matching
particle swarm optimization （PSO）
