作　　者： ; ; ; ;

机构地区： 广东工业大学管理学院

出　　处： 《组合机床与自动化加工技术》 2012年第11期101-104,共4页

摘　　要： 对于订单式生产(Make-To-Order,MTO)中小型制造企业,物料供应不及时及生产过程产生的不合格品导致生产返工都是影响交货期的主要因素。因物料订购成本占总生产成本的比重较大,当物料价格不稳定时,订购决策人员须综合考虑物料价格的变化趋势以及返工对交货期的影响程度,从而做出成本最低的订购决策。以订单式生产中小制造企业物料订购及不合格品返工为研究对象,考虑物料为多种、物料价格随时间波动且返工率随机时,从提早或延期交货成本角度进行建模与优化以得到最佳订购日期。针对上述问题,构建了有约束条件的多决策变量非线性优化模型,并采用内点障碍罚函数法求解。研究结论表明,在订单式生产模式下,为使与交货期有关的成本最低,物料订购日期不能太早也不能太晚,存在理想值。 For the Small and Medium Manufacturing Enterprises about MTO（Maketoorder）, materials provision not timely and rework because of nonconforming products generated in the Production process are the major factors which affect delivery time. Due to the material costs accounting for a large propor tion of the entire cost, while the materials price is unstable, the decisionmakers have to comprehensively consider the price trends and the rework which has a certain impact on makespan so as to make the best decisions about ordering. When the type of materials is more than one, the material price fluctuates over time and the rework rate is random, it considers how to model and optimize to get the best decision of or dering date from the perspective of cost about delivery time, so that the total cost is the lowest. For the problem,it builds a constraint nonlinear optimization model with multivariables and solves it by the algo rithm of IPM. The conclusion shows that, under the mode of MTO, the date of materials ordering can＇ t be too early or too late（there exists a ideal day）so that the cost about delivery time is the lowest.

关 键 词： 订单式生产 价格波动 随机返工率 订购决策

领　　域： [机械工程]