【作者】 高瑞霞；

【导师】 高迎平；

【作者基本信息】 河北工业大学 ， 管理科学与工程， 2002， 硕士

【摘要】 本文主要通过对单件小批订货型离散制造系统物流的研究，找出该类物流系统在运行过程中的影响因素，利用熵理论对其进行数学建模，从而用运行熵模型来评价该系统物流运行好坏，并分析应采取什么对策。 目前，随着知识经济时代的到来，国际化、动态化市场竞争日益激烈。经济及用户需求的不确定性增加，高新技术迅猛发展，企业与企业之间的竞争逐渐转为供应链之间的竞争，供应链管理理论也在此基础上发展起来。而对于我国来说，由于国内在网络方面发展与国外有一定差距，电子数据交换技术不够完善，因此就目前水平我们在紧跟国际前沿问题的同时也要对企业内部物流加以重视，而单件小批订货型离散制造系统物流最复杂，故我们在此选取单件小批订货型离散制造系统物流进行研究。熵理论自从1865年被克劳修斯提出以后一直不断地发展。有些学者把它借鉴到管理中，认为熵可以度量一个系统的无序度。所以本文以系统论、熵理论为依据来研究物流的运行，分析物流运行规律，通过运行熵的高低评价分析物流系统。 论文是以某具体单件小批订货型离散制造公司为例，分析该公司物流系统的影响因素，提出用流向、流量、流速三个特征量来衡量物流系统，并进一步分析物流运行时影响这三个特征量的因素。在深入分析物流系统的基础上用系统论、概率论、模糊数学对运行熵问题进行探讨。具体来说是把该公司的产品分成n大系列，这n个系列就构成了互不交叉的n条物流，找出影响物流的m个因素，建立m×n的特征值矩阵，又利用熵权法求出影响因素指标的权重，求出每条物流的熵值以及整个物流系统的熵，最终求出物流系统的有序度。通过运行熵模型，我们可以看出哪个产品系列物流运行好，哪个因素更影响物流，该物流系统的状况如何，物流是否运行良好。 最后，利用类比推理的逻辑学理论得出单件小批订货型离散制造系统物流优化运行熵模型。更多还原

【Abstract】 By the research on the logistics in discrete manufacturing system of Job-shop ordering type, the paper found its influencing factors among the operational progress and built a mathematic model using the entropy theory. Thereby, the level of logistics operation was appraised in the system through the operation entropy model and the measures which we should take were analyzedNow, with the coming of knowledge economy, the international and dynamic market competition is becoming more and more impetuous, and economic and consumers’ requirements are becoming more and more uncertain. As the advanced technology has developed so rapidly, the competition among enterprises gradually turned into the competition among supply chains. On the base of which, the theory of supply chains management also has been developed. However, for our country, because of some extensive gap in the network development with the foreign country and the incompletion in the technology of Electronic Data Interchange, basic problems need to be researched urgently. We should pay more attention to the enterprise inner logistics. Logistics in discrete manufacturing system of Job-shop ordering type is the most complicated, so we choose it to research. Since Clausius firstly put the entropy theory forward in the year of 1865, it has always been developing. Some scholars use it for reference into the field of management. They considered that it could survey the disordered measurement of a system. So according to the system theory and entropy theory, this paper researched the operation of logistics and analyzed its regularity and appraised the logistics system by the level of operation entropy.A concrete discrete manufacturing company of Job-shop ordering type is illustrated in this paper. It analyzed the influencing factors of logistics system in this company and put forward three characteristic vectors of flow direction, flow quantity and flow speed, which were used to weigh logistics system. Further, it analyzed the factors that influenced these characteristic vectors during the progress of logistics operation. On the base of embedded analysis about the logistics system, the paper probed the question of operation entropy by the system theory,probability theory and fuzzy mathematics. Concretely, we separate its products into N series, which composed N strips non-crossed logistics, and then we find M factors that influence the logistics to build eigenvalue matrix of MXN. By the method of entropy weight, we get the weight of the influencing index factors and the value of entropy in each strip and the total entropy of the logistics system. At last we get the orderly measurement of the logistics system. Through the model of operation entropy, we can find which strip logistics is the best and which factor will influence it more. Besides, and we can also judge the level of logistics system and appraise whether the operation of logistics is good or not.In the end, by the logic theory of analogism, the paper gets the logistics optimized model of operation entropy in discrete manufacturing system of Job-shop ordering type.更多还原