随机环境下模具车间任务投放策略研究
发布时间：2018-11-23 15:40
【摘要】：近年来,随着世界自由贸易与全球经济一体化的发展,制造企业之间的竞争日益加剧,因此对于订货型(Make To Order,简称MTO)制造企业,除了降低生产成本,还必须缩短企业产品的生产制造周期,并且保证产品能按时交货,这已经成为我国订货型制造企业在激烈竞争中赖以生存和发展的重要条件之一。正因如此,产品交货期的控制对模具制造企业的生产计划与控制技术提出了更高要求,显然当前流行的生产计划与控制技术难以有效地适应于复杂多变的模具制造企业,难以有效地缩短模具制造周期和保证模具按时交货,因此研究能够有效地适用于模具制造企业的生产计划与控制技术,帮助企业控制订单的交货期,具有非常重要的意义。 针对此类生产环境高度复杂的制造行业,人们提出了一种新的生产计划和控制(Production Planning and Control,简称PPC)方法：负荷控制(Workload Control,简称WLC)。负荷控制起源于输入输出控制的概念,通过任务投放控制连接着生产计划与车间制造。任务投放控制包括输入控制与输出控制,其中输入控制决定了车间任务池中任务的生产开始时间节点、各投放时刻的投放负荷界限以及选中哪类任务进入车间生产加工。研究表明,目前任务投放控制方法已经有很多,但是针对随机环境下模具加工车间的任务投放控制方法还没有。论文将以某大型模具企业的制造车间作为研究背景,提出了适应于随机环境下模具加工车间的任务投放策略。本文首先提出基于当量工时车间瓶颈资源的确定方法,并通过仿真实验加以验证；然后基于车间瓶颈资源,提出任务投放上界范围的确定方法,并采用基于仿真实验的试凑方法,逼近每个周期任务投放量的上界临界值；最后提出任务选择方法,并通过仿真实验验证本文所提出的任务投放策略的合理性。
[Abstract]:In recent years, with the development of free trade and global economic integration in the world, the competition among manufacturing enterprises is becoming more and more intense. Therefore, for the ordering (Make To Order, manufacturing enterprises, besides reducing the production cost, It is also necessary to shorten the production cycle and ensure the timely delivery of the products, which has become one of the important conditions for the survival and development of our country's order-oriented manufacturing enterprises in the fierce competition. Because of this, the control of product delivery time puts forward higher requirements for the production planning and control technology of mould manufacturing enterprises. Obviously, the current popular production planning and control technology is difficult to effectively adapt to the complex and changeable mould manufacturing enterprises. It is difficult to shorten the mould manufacturing cycle and ensure the mould delivery on time, so it is of great significance to study the production planning and control technology which can be effectively applied to the mould manufacturing enterprises and help the enterprises to control the delivery time of orders. In view of this kind of manufacturing industry with highly complex production environment, a new production planning and control (Production Planning and Control, (PPC) method is proposed: (Workload Control, for load control for WLC). Load control originates from the concept of input and output control, which connects production planning with workshop manufacturing through task delivery control. Task launch control includes input control and output control, in which input control determines the production start time node of tasks in the workshop task pool, the drop load limit of each delivery time, and which kinds of tasks are selected to enter the workshop production and processing. The research shows that there are many methods for task delivery control, but there are no methods for task delivery control in random environment. Taking the manufacturing workshop of a large mould enterprise as the research background, this paper puts forward the task placement strategy suitable for the mould processing workshop in random environment. In this paper, the method of determining bottleneck resource based on equivalent man-hour workshop is put forward, and it is verified by simulation experiment. Then, based on the bottleneck resource of workshop, a method of determining the upper bound of task delivery is proposed, and the method of trial and error based on simulation experiment is used to approach the critical value of the upper bound of the amount of tasks in each cycle. Finally, the task selection method is proposed, and the rationality of the task delivery strategy proposed in this paper is verified by simulation experiments.
【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：TH186
本文编号：2351934
[Abstract]:In recent years, with the development of free trade and global economic integration in the world, the competition among manufacturing enterprises is becoming more and more intense. Therefore, for the ordering (Make To Order, manufacturing enterprises, besides reducing the production cost, It is also necessary to shorten the production cycle and ensure the timely delivery of the products, which has become one of the important conditions for the survival and development of our country's order-oriented manufacturing enterprises in the fierce competition. Because of this, the control of product delivery time puts forward higher requirements for the production planning and control technology of mould manufacturing enterprises. Obviously, the current popular production planning and control technology is difficult to effectively adapt to the complex and changeable mould manufacturing enterprises. It is difficult to shorten the mould manufacturing cycle and ensure the mould delivery on time, so it is of great significance to study the production planning and control technology which can be effectively applied to the mould manufacturing enterprises and help the enterprises to control the delivery time of orders. In view of this kind of manufacturing industry with highly complex production environment, a new production planning and control (Production Planning and Control, (PPC) method is proposed: (Workload Control, for load control for WLC). Load control originates from the concept of input and output control, which connects production planning with workshop manufacturing through task delivery control. Task launch control includes input control and output control, in which input control determines the production start time node of tasks in the workshop task pool, the drop load limit of each delivery time, and which kinds of tasks are selected to enter the workshop production and processing. The research shows that there are many methods for task delivery control, but there are no methods for task delivery control in random environment. Taking the manufacturing workshop of a large mould enterprise as the research background, this paper puts forward the task placement strategy suitable for the mould processing workshop in random environment. In this paper, the method of determining bottleneck resource based on equivalent man-hour workshop is put forward, and it is verified by simulation experiment. Then, based on the bottleneck resource of workshop, a method of determining the upper bound of task delivery is proposed, and the method of trial and error based on simulation experiment is used to approach the critical value of the upper bound of the amount of tasks in each cycle. Finally, the task selection method is proposed, and the rationality of the task delivery strategy proposed in this paper is verified by simulation experiments.
【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：TH186
【引证文献】
相关硕士学位论文 前1条
1 赵卫;生产负荷控制技术在电梯轿厢制造中的应用研究[D];广东工业大学;2012年
，本文编号：2351934
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