文档介绍：摘要
在现今的经济全球化制造时代,客户化的产品需求要求更短的产品生命周期。现代制造业与服务业呈现融合的状态。车间作业调度技术是生产管理技术的核心技术,直接关系到企业产品以及服务的质量。有效的车间作业调度技术,可以增强车间资源优、化配置能力、提高企业的生产效率、减少生产损耗,使企业在经济全球化的竞争中处于领先地位。
现代制造业的生产特点是品种多、批量小(甚至是单件生产),而车间资源的有限性制约着能否有效利用车间现有资源完成任务,以最快的速度响应市场需求。调度的任务是根据生产目标和约束,为每个加工对象确定具体的加工路线、时间、机器和操作等。优良的调度策略对于提高生产系统的最优性、提高经济效益都有着极大的作用。作业车间调度问题是一个典型的NP—hard问题,是最困难的组合优化问题之一。
本文主要研究了制造车间作业调度问题。本文系统地介绍了车间作业调度理论及其发展状况、用于作业车间调度理论的优化算法及其特点;针对生产过程的作业调度,描述了调度的分类以及常规调度方法;建立了制造车间调度模型;利用染色体编码方法和遗传算子,用遗传算法解决该调度问题。此外,用Matlab强大的数值计算能力和众多库函数来编写算法,通过仿真实例对算法的求解效果进行了测试。实例证明,该程序算法结果较好,能充分利用设备资源组织生产,对于车间的实际生产具有较强的指导意义。
关键词:作业调度,遗传算法,MATLAB
Job Scheduling Optimization Based on ic Algorithm
ABSTRACT
In the manufacturing era of economic globalization, demand for our products of customer requires shorter product life cycle. Modern manufacturing and service rendered to the state of integration. The job-shop scheduling technology is the core technology of the production and management technology, is directly related to the quality of enterprise products and services. Effective job shop scheduling techniques can enhance the workshop resources, optimal allocation of capacity, improve production efficiency, reduce production losses, so that enterprises can locate in the central position in petition of economic globalization.
The feature of modern manufacturing sector is variety, small batch (or even a single piece production). The limited resources of the workshop restricting the effective use of existing workshop resources plete the task to meet market demand in the fastest pace. The scheduling task is to determine the specific processing route, time, machinery and operation according to production goals and constraints for each processing object. Good scheduling strategy has a great role for the optimal production system, improve economic efficiency. The job shop scheduling problem is a typical NP-hard problem,and is the most binatorial optimization problems.
In this paper, we study manufacturing job shop schedulin