金属板材加工的制造执行系统的研究与开发

发布时间：2018-06-26 23:11

本文选题：板材加工 + 制造执行系统　；参考：《江南大学》2015年硕士论文

【摘要】：随着市场竞争的日益激烈,为了满足多变的客户需求,很多企业的生产方式已经逐步从面向库存转变为面向客户订单,在这种情况下,如何根据市场的需求,动态调整生产的产品,按时按量的交货,以满足客户销售与库存的需求,已成为企业能否生存和发展的关键因素,因此,越来越多的企业选择使用信息化管理系统。本文针对案例金属加工企业生产效率低的问题,提出了金属板材加工的制造执行系统的解决方案,将产品生产前、生产过程中、生产后整个生产周期的信息全部纳入系统中,包括:任务确定、板材下料、生产排程、数据采集、成品装箱等所有与生产相关的作业,实现了板材下料、生产排程、成品装箱的自动化,车间生产过程控制的实时化,产品生产全过程信息的透明化,达到了生产全过程信息化的要求,同时构建了金属板材加工的制造执行系统的总体结构,研究了系统的生产集成化方案,设计了板材下料模块与三维装箱模块的算法,并对系统数据库和系统各主要功能模块分别进行了详细分析和设计,重点研究了下面几个问题:(1)板材下料算法设计。采用混合启发式算法进行板材下料算法的设计,先利用启发式填充算法将矩形成品生成条料,再借助遗传算法对矩形成品排序和条料组合排序进行优化,通过两种算法的结合来找出使原材料整体利用率最大的方案。(2)车间生产活动数据实时采集。针对车间生产活动数据难以实时采集和生产过程难以实时控制的问题,提出了采用条形码技术进行数据采集的方案,并研究了数据采集设备的通讯方式和数据采集流程。(3)车间工序级生产计划自动排程。依据客户订单和工艺信息生成车间生产计划,然后采用动态极大极小代数算法对生产计划进行生产排程,自动安排产品每道工序的加工设备、开工时间、完工时间,形成工序级生产计划。(4)三维装箱算法研究。采用多约束条件的优化算法自动安排成品装箱,先借助遗传算法对板材序列和摆放方式序列进行优化,再利用启发式算法将板材合理的装入木箱,找出满足木箱容积、装载顺序、稳定性等条件,并使木箱空间利用率最大的方案。目前,系统已在企业实施,明显提高了企业的生产管理效率和企业按时按量交付的能力,取得了很好的应用效果,为同类型金属加工企业设计MES提供了借鉴。
[Abstract]:With the increasingly fierce market competition, in order to meet the changing needs of customers, many enterprises have gradually changed from inventory oriented production to customer oriented orders. In this case, how to meet the needs of the market, Dynamic adjustment of production products and timely delivery of goods to meet the needs of customer sales and inventory has become a key factor for the survival and development of enterprises. Therefore, more and more enterprises choose to use information management system. Aiming at the problem of low production efficiency in metal processing enterprises, this paper puts forward a solution to the manufacturing execution system of metal sheet metal processing, which integrates the information of the whole production cycle before, during and after production into the system. Including: task determination, sheet cutting, production scheduling, data acquisition, finished product packing, etc. All the related operations related to production have been realized. The automation of sheet cutting, production scheduling, finished product packing and workshop production process control have been realized. The transparency of the information in the whole process of product production has reached the requirement of the informationization of the whole process of production. At the same time, the overall structure of the manufacturing execution system of metal sheet processing has been constructed, and the production integration scheme of the system has been studied. The algorithms of plate blanking module and 3D packing module are designed, and the system database and the main functional modules of the system are analyzed and designed in detail. The following problems are emphatically studied: (1) plate cutting algorithm design. The mixed heuristic algorithm is used to design the plate cutting algorithm. Firstly, the rectangular finished product is generated by the heuristic filling algorithm, and then the sorting of rectangular finished product and the combination sorting of strip material are optimized by genetic algorithm. Through the combination of two algorithms to find out the maximum overall utilization of raw materials. (2) Workshop production activity data real-time collection. In order to solve the problem that the production activity data of workshop is difficult to collect in real time and the production process is difficult to be controlled in real time, this paper puts forward a scheme of data acquisition using bar code technology. The communication mode and data acquisition flow of data acquisition equipment are studied. (3) automatic scheduling of production planning in workshop process level. According to the customer order and process information, the workshop production plan is generated, and then the production schedule is arranged by using dynamic minimax algebra algorithm, and the processing equipment, starting time and completion time of each working procedure of the product are automatically arranged. Forming process grade production plan. (4) Research on 3 D packing algorithm. The optimization algorithm of multi-constraint condition is used to arrange the packing of finished product automatically, and the sequence of plate and placement mode is optimized by genetic algorithm, then the plate is put into wooden box reasonably by heuristic algorithm, and the volume of wooden box is found out. Loading sequence, stability and other conditions, and make the maximum utilization of wooden box space scheme. At present, the system has been implemented in the enterprise, which has obviously improved the production management efficiency of the enterprise and the ability of the enterprise to deliver according to time on time, has obtained the very good application effect, has provided the reference for the similar type metal processing enterprise to design mes.
【学位授予单位】：江南大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TH16

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