个性化定制下的生产调度问题研究

发布时间：2018-05-23 14:08

本文选题：个性化定制 + 智能制造　；参考：《西南科技大学》2017年硕士论文

【摘要】：随着工业4.0、智能制造技术的发展,个性化定制作为一种新的生产模式呈现出快速发展的趋势。个性化定制的生产调度是其核心难题之一。本文针对个性化定制生产调度问题,进行了以下研究工作:⑴对智能制造下的个性化定制生产模式进行分析。分析离散型智能制造车间进行个性化定制生产的条件、特点,描述其生产调度的特点及与传统调度的区别。⑵针对离散型智能车间,建立多目标个性化定制生产动态调度数学模型。分析动态调度,并对工况异常以及急件插入情况建立动态调度策略。引入精英策略与领域扰动策略对MMAS进行改进,获得调度方案。⑶建立随机期望值多目标个性化定制生产柔性动态调度模型。考虑订单加工时间不确定的随机期望生产场景。通过两级改进MMAS算法获得调度方案。⑷实证研究。以某公司个性化定制订单生产为例,收集各订单及设备加工数据,对智能车间生产活动中个性化定制柔性动态生产,随机调度模型进行仿真建模进行实证研究。结果表明,建立的智能制造中的个性化定制生产调度模型合理,采用动态调度方法对生产调度问题进行求解,取得了较好效果,实现了生产调度的智能化。
[Abstract]:With the development of industry 4.0 and intelligent manufacturing technology, personalized customization as a new production mode has shown a rapid development trend. Personalized production scheduling is one of its core problems. Aiming at the problem of customized production scheduling, the following research work is done: 1 to analyze the personalized customization production model under intelligent manufacturing. This paper analyzes the conditions and characteristics of individualized production of discrete intelligent manufacturing workshop, describes the characteristics of production scheduling and the difference between discrete intelligent workshop and traditional scheduling. A mathematical model for dynamic scheduling of multi-objective customized production is established. Dynamic scheduling is analyzed and dynamic scheduling strategy is established for abnormal working conditions and insert of emergency parts. The elite strategy and domain perturbation strategy are introduced to improve the MMAS, and the scheduling scheme .3 is obtained to establish a flexible dynamic scheduling model of stochastic expectation multi-objective personalized customization production. Consider random expected production scenarios with uncertain order processing time. Two-level improved MMAS algorithm is used to obtain scheduling scheme 4. 4 empirical study. Taking the customized order production of a company as an example, the data of each order and equipment processing are collected, and the simulation and modeling of personalized customization flexible dynamic production and stochastic scheduling model in the production activities of intelligent workshop are studied empirically. The results show that the personalized customized production scheduling model established in intelligent manufacturing is reasonable, and the dynamic scheduling method is used to solve the production scheduling problem, which achieves good results and realizes the intelligentization of production scheduling.
【学位授予单位】：西南科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP18;TB497

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