基于F汽车座椅厂的生产物流优化研究

发布时间：2018-04-29 10:42

本文选题：生产物流 + 汽车座椅　；参考：《武汉理工大学》2015年硕士论文

【摘要】：在企业的生产系统中,生产物流是其中重要的一个子系统。而随着客户需求变得多样化,许多生产制造企业将会向多品种小批量的JIT生产方式发展。在JIT生产方式下,生产物流的管理水平将对整个生产系统的性能产生极大影响,而随着市场的增长,生产制造企业必须不断地优化其生产及物流流程来满足客户的需求。在此背景下,可以对生产物流系统进行仿真,寻求其瓶颈工序,从而提出优化方案,以提高生产效率。本文以F汽车座椅公司为例,通过研究其生产及物流状况,提出其生产物流过程中出现4个问题。然后,分别通过两种方法来解决这些问题。一是建立其生产物流系统的概念模型。在此基础上,通过采集多个变量的数据,建立符合实际逻辑的生产物流系统仿真模型。然后通过运行仿真模型输出统计结果,从中找出制约整个生产系统性能的瓶颈流程,然后根据TOC理论,加大对其资源的投入,改善瓶颈流程,达到提升生产系统性能的目的。二是在理论上建立JIT安全库存模型,通过平衡缺货成本、信用惩罚成本和仓储成本,来达到供应链总成本的最优化,降低JIT生产中存在的断货风险。同时,还给出了信用惩罚参数的取值方法。本文提出了建立生产物流系统仿真模型的方法步骤。通过详实的实际数据,运用JIT拉动生产逻辑建立了F公司整椅装配车间的Flexsim仿真模型,通过模型的运行,找到了总装车间的“瓶颈”流程,根据TOC理论,提出生产物流优化方案,执行方案后,使得总装生产线完成生产任务时间降低了12.26%。本文还提出了仿真模型的改进方法,以便进一步地提升仿真模型的真实程度,提高模型的抗风险能力。为生产制造企业提供了一种优化方法。相对于传统的利用解析模型求解瓶颈工位的方法,Flexsim仿真能以直观的3D动画形式展现系统的运作过程,同时,对于复杂的离散型系统,Flexsim可以简洁地完成建模步骤。而解析模型需要极强的数学基础,并且需要诸多假设的理想条件,已很难满足实际需求。本文主要是以F公司的实际情况展开,有其特殊性,而且其仿真模型和解析模型未考虑到某些极端环境,在未来的研究中,应当加入各种极端环境下的触发逻辑,已提高仿真模型的实用性。
[Abstract]:In the production system of enterprises, production logistics is an important subsystem. With the diversification of customer demand, many manufacturing enterprises will develop to multi-variety and small-batch JIT production mode. Under the JIT mode of production, the management level of production logistics will have a great impact on the performance of the whole production system. With the growth of the market, manufacturing enterprises must constantly optimize their production and logistics processes to meet the needs of customers. Under this background, the production logistics system can be simulated to find the bottleneck procedure, and then the optimization scheme can be put forward to improve the production efficiency. This paper takes F automobile seat company as an example, through studying its production and logistics situation, puts forward four problems in its production and logistics process. Then, through two methods to solve these problems. The first is to establish the conceptual model of its production logistics system. On this basis, the simulation model of production logistics system is established by collecting the data of many variables. Then the bottleneck process which restricts the performance of the whole production system is found out by the statistical results of the running simulation model. Then according to the TOC theory, the input of its resources is increased, the bottleneck process is improved, and the purpose of improving the performance of the production system is achieved. The second is to establish the JIT safe inventory model theoretically. By balancing the cost of stock out of stock credit penalty cost and storage cost the total cost of supply chain can be optimized and the risk of running out of goods in JIT production can be reduced. At the same time, the method of determining credit penalty parameters is given. In this paper, the method and steps of establishing the simulation model of production logistics system are put forward. The Flexsim simulation model of the whole chair assembly workshop of F Company is established by using the JIT pull production logic through the detailed practical data. Through the operation of the model, the "bottleneck" flow of the assembly shop is found, and according to the TOC theory, The optimization plan of production logistics is put forward, and the time of finishing production task of assembly line is reduced by 12.26% after carrying out the plan. In order to enhance the real degree of the simulation model and improve the anti-risk ability of the simulation model, an improved method of simulation model is put forward in this paper. It provides an optimization method for manufacturing enterprises. Compared with the traditional analytical model, the Flexsim simulation can show the operation process of the system in the form of visual 3D animation. At the same time, for the complex discrete system, Flexsim can accomplish the modeling steps succinctly. The analytical model needs a strong mathematical foundation and many hypothetical ideal conditions, so it is difficult to meet the actual requirements. This paper is mainly based on the actual situation of company F, has its particularity, and its simulation model and analytical model does not take into account some extreme environment, in the future research, should add various extreme environment trigger logic, The practicability of the simulation model has been improved.
【学位授予单位】：武汉理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F426.8;F252.1;U468

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