基于时间购买的预测式运维服务供应链收益分配公平性研究

发布时间：2018-05-11 01:04

本文选题：时间购买 + 预测式运维　；参考：《西安理工大学》2017年硕士论文

【摘要】：以数字技术为基础发展而来的预测式运维服务模式正受到广泛的关注并在企业中大量实行;服务化的发展使得企业越来越关注服务的结果,更愿意为设备的使用付费。二者结合诞生的基于使用权的预测式运维服务已在企业中应用但却未得到学界的有效关注,本文选取使用权中最为常见的时间购买为例对这种新兴服务模式进行研究。在该模式下,设备制造企业免费提供设备并以经营者的身份加入到设备使用企业日常的生产运营中帮助降低设备停机造成的损失,并从降低的损失中获得利润分成,以实现设备制造企业与设备使用企业的双赢。然而降低损失的分配结果直接影响着双方的合作。在现有的企业实践中,收益分配的多少依赖于双方的谈判能力,并且大部分情况下并不能达成一致。在理论上,缺乏对这种新兴服务模式价值的衡量及收益分配的研究。那么如何衡量基于时间购买的预测式运维服务价值,以及如何分配降低的损失让双方都感到满意,真正达到双赢的目的是学术研究和企业实践中亟待解决的重要问题。为解决上述问题,本文以服务化下的设备使用企业与设备制造企业为主体所构成的运维服务供应链为研究对象,从使用权的视角出发,应用公平熵理论,研究基于时间购买的预测式运维服务供应链收益分配公平性问题。首先对运维服务发展过程进行分析,指出基于使用权的预测式运维服务是未来竞争的必然,并剖析了基于使用权的预测式运维服务的概念、分类和特征,接着以使用权中最常见的时间购买为例进行研究,分析了基于时间购买的预测式运维服务供应链的收益特征;其次,以设备无故障运行时间为交易对象,考虑设备使用企业和设备制造企业双方建立了基于时间购买的二级预测式运维服务供应链收益模型,在此基础上利用公平熵函数建立了考虑公平性的收益分配模型,并用ZXJC的企业案例对模型进行仿真分析,得出相应的结论和管理启示;然后,以设备无故障运行时间为交易对象,考虑设备使用企业、设备制造企业和第三方修理企业三方建立了基于时间购买的三级预测式运维服务供应链收益模型,在此基础上利用公平熵函数建立了考虑公平性的收益分配模型,并用ZXJC的企业案例对模型进行仿真分析,得出相应的结论和管理启示;最后,综合分析了二级和三级预测式运维服务,提出相应的管理启示,为设备制造企业推行基于时间购买的预测式运维服务提供借鉴。本文基于设备使用权建立的以时间购买为基础的供应链收益模型,是对传统的基于所有权的供应链收益模型的拓宽,丰富了供应链收益共享研究领域;通过引入公平熵函数,定量分析出绝对公平时的收益分配系数以及相对公平时的决策区间,为企业运维服务合同签订给予了决策支持。研究结论也为设备制造企业拓宽运维服务市场,深入推行基于使用权的运维服务提供了理论参考。
[Abstract]:The predictive operation and maintenance service model developed on the basis of digital technology is being widely concerned and carried out in a large number of enterprises. The development of service makes the enterprise more and more concerned about the result of service and is more willing to pay for the use of equipment. The two combination of the birth of the predictive operational and maintenance service based on the right to use has been applied in the enterprise. It does not get the effective attention of the academic community. In this paper, the most common time purchase in the right of use is selected as an example to study the new service model. In this mode, the equipment manufacturing enterprises provide the equipment free of charge and join the operator's identity to help reduce the loss caused by equipment shutdown in the daily production operation of the equipment use enterprise. Profit sharing is obtained from the reduced loss to achieve a win-win situation between the equipment manufacturing enterprise and the equipment use enterprise. However, the loss distribution results directly affect the cooperation between the two parties. In the current enterprise practice, the amount of income distribution depends on the negotiation ability of both parties, and in most cases, the agreement can not be reached. On the other hand, there is a lack of research on the value of this new service model and the distribution of its income. How to measure the value of the predictive operational service based on the time purchase and how to allocate the reduced losses to the satisfaction of both parties and to achieve a win-win goal is an important problem to be solved in academic research and enterprise practice. In order to solve the above problems, this paper studies the operation and maintenance service supply chain which is composed of enterprises and equipment manufacturing enterprises under the service oriented equipment. From the perspective of the right of use, the fairness entropy theory is applied to study the fairness of the distribution of the supply chain of the predictive operation and maintenance service based on the time purchase. The process is analyzed. It is pointed out that the predictive operation and maintenance service based on the right to use is the necessity of the future competition, and the concept, classification and characteristics of the predictive operation and maintenance service based on the right to use are analyzed. Then, the most common time purchase in the right to use is taken as an example to analyze the income of the supply chain of the predictive operation and maintenance service based on the time purchase. Secondly, taking the equipment without fault running time as the transaction object, considering the enterprise and the equipment manufacturing enterprise, the two level forecasting model of the supply chain is set up based on the time purchase. On this basis, the fair entropy function is used to establish the income distribution model with fairness, and the enterprise case of ZXJC is used. The model is simulated and analyzed, and the corresponding conclusion and management enlightenment are obtained. Then, taking the equipment without fault running time as the trading object, considering the equipment use enterprise, equipment manufacturing enterprise and the third party repair enterprise, three parties have established the three level forecasting model of operational and maintenance service supply chain based on time purchase, and use fairness on this basis. The entropy function establishes the income distribution model considering fairness, and uses the ZXJC enterprise case to simulate the model, and draws the corresponding conclusions and management enlightenment. Finally, it analyzes the two and three level forecast operation and maintenance services, and puts forward the corresponding management enlightenment for the equipment manufacturing enterprises to carry out the predictive operational and maintenance suits based on the time purchase. In this paper, the supply chain revenue model based on the time purchase based on the right to use the equipment is a widening of the traditional ownership based supply chain income model, which enriches the research field of supply chain revenue sharing; by introducing the fair entropy function, the income distribution coefficient of the absolute public peacetime is quantified and the relative value is quantified. The decision-making interval of fairness gives the decision support for the signing of the operation and maintenance service contract. The conclusion also provides a theoretical reference for the equipment manufacturing enterprises to broaden the operation and maintenance service market and carry out the operation and maintenance service based on the right to use.

【学位授予单位】：西安理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F274

【参考文献】