摘要在MTO(make-to-order)生产环境下,由于有限资源的约束,企业经常拒绝接受一些不能保证能按时交付的订单,在这种情况下下,如何从大量的订单进行选择,以达到利润最大化的目的,就是订单选择问题的核心内容。通过对模拟数据进行了仿真求解计算,验证了算法的求解效果和计算效率,算例结果也表明:多节点的订单选择模型比单节点模型更加符合实际情况,能更准确地计算订单收益与延迟处罚,克服了单节点模型中的失真问题。 9903
关键字 订单选择 交货期
毕 业 论 文 外 文 摘 要
Title The decision-making of delivery schedule, and one-piece Order acceptance and processing scheduling problem studied
Abstract
MTO (make-to-order) production environment, due to the constraints of limited resources, companies often refuse to accept can not guarantee timely delivery of orders, in this case, how to select from a large number of orders in order to achieve profitthe purpose is to maximize the order to select the core of the problem. Calculated by simulation for solving simulation data to verify the effectiveness and computational efficiency of the algorithm solving the numerical results also show that: the order selection of multi-node model is more realistic than the single-node model can more accurately calculate the income of the order and delay punishment, to overcome the distortion of the single-node model.
Keywords order acceptance due date
目录
1引言 1
1.1 研究内容 1
1.2 研究背景和意义 3
1.3 研究方法 4
2 单生产线单节点的订单选择问题 5
2.1 问题模型 5
2.2 模型仿真 5
3 多生产线单节点的订单选择问题 9
3.1 问题模型 9
3.2 模型仿真 9
4 多节点单生产线的订单选择问题 12
4.1 问题模型 12
4.2 模型仿真 13
5 多节点多生产线的订单选择问题 15
5.1 问题模型 15
5.2 模型仿真 16
6 分析 19
7总结 20