供需网企业合作优化及利益分配机制研究

发布时间：2019-05-18 17:56

【摘要】：当前,经济全球化形成了超国界的巨大新市场体系,各国企业在发展中确立了高度互相依存与互相合作的关系,商品、服务、资本、技术、知识等要素在国际间的频繁流动,令全球经济活动日趋错综复杂。在这种错综复杂的状态下,各国企业对新的经济活动都显得有些经验不足。传统的供应链管理模式已日益显现其不足之处,因此一种全新的企业管理理念---多功能开放型企业供需网模式便应运而生。多功能开放型企业供需网(Supply and Demand Network of enterprises with multi-functional and opening characteristics,简称供需网或SDN)是指以全球资源获取、全球制造、全球销售和提高企业综合能力为目标,相关企业之间由于多种“供需流”的交互作用而形成的一种多功能开放式的供需动态网络模式。SDN系统以网络信息平台和相关服务设施为支撑,以全球市场为外部环境的复杂经济系统。SDN系统作为复杂的经济系统,其涵盖的各种要素和子系统是非常复杂与繁多的,这些供需子系统之间以及子系统内部各要素之间以各种方式发生复杂的非线性作用,在时间和空间上产生各种复杂形式的耗散结构,使SDN系统产生相变,促进SDN系统从低级到高级、从简单到复杂不断的演化。在演化过程中,SDN系统适应性的增强依赖供需子系统之间以及子系统内部各要素之间的合作。SDN管理的目的就是使SDN系统尽量趋于理想的合作状态。因此,SDN的合作问题是SDN管理的难题,也是首要问题,而SDN的合作过程本质上是SDN系统各要素之间合作优化与利益协调的过程。鉴于此,本文以系统科学思想为基础,以博弈论、智能优化方法、熵理论、混沌理论、演化博弈论、合作对策理论、Topsis多目标决策技术作为研究的主要方法,结合企业管理思想和SDN系统的发展规律,对SDN企业合作优化及利润分配机制进行了尝试性研究。全文共分8章:首先是相关文献综述及问题的提出(第1章);接着是对SDN系统的基础研究及复杂性分析(第2章),探讨了SDN系统产生非线性行为的根本原因,详细阐述了供需流熵、结构熵和合作创新能力熵的构建步骤以及SDN系统复杂性有序度的表示方法;其次是对SDN企业合作优化的扩展研究(第3章至第5章),分别从合作优化决策模型、合作意愿度及演化稳定性、合作伙伴选择及优化进行论述,建立了SDN两节点之间完全合作决策模型和完全非合作决策模型,比较了供大于求、供小于求和供需相对平衡下两节点的系统利润及产品产量变化情况,定量地分析企业合作行为的偏好程度及其演化稳定性,深入探讨企业的生产技术水平对企业合作优化决策的影响,并将改进的粒子群智能优化算法应用于SDN企业合作伙伴选择的多目标决策模型中;再次是对SDN企业利益分配机制进行研究(第6章、第7章),确定了SDN企业利益分配机制设置的原则,分析了SDN节点之间的博弈格局和利益分配方法,深入探讨了SDN节点利益分配模型的内在机理,提出了基于合作对策理论和Topsis法的SDN多节点利益分配模型,给出了SDN节点利益分配机制的具体实施方法;最后是本文的总结(第8章)。本论文的主要创新之处在于:(1)基于系统科学的思想,以熵理论和混沌理论为基础,对SDN系统的复杂性进行度量。该研究能够深化对SDN形成与演化过程的复杂性、合作和协同性的认识,并通过学科的交叉融合在SDN研究中提出相对新颖的理论观点和研究视角。(2)运用博弈理论和演化博弈理论的分析方法,构建了SDN企业合作优化决策模型,深入探讨了SDN企业合作意愿度及演化稳定性。本文将同一产品市场多供应链的合作优化问题推广到不同产品市场供应链跨链间的合作优化问题,从定量上分析了SDN两节点之间合作的可能性及合作空间的大小。另外,通过借鉴生物进化过程中的ESS思想,研究了SDN企业合作意愿度及其演化稳定性。使用该方法进行研究,不仅可以说明SDN企业的合作动机,而且可以解释SDN企业的合作优化决策是否具有稳定性,即企业的合作行为能否在长期的演化过程中持续下去。同时,该方法可以说明有败德行为的企业在什么条件下会侵入或影响整个企业群体。(3)将改进的粒子群智能优化方法应用于SDN企业合作伙伴选择的多目标决策模型中。相比于标准粒子群算法,改进的粒子群算法用于求解SDN企业合作伙伴选择优化问题具有更加良好的效果,该算法可以快速、精确地为SDN企业找到最佳的合作伙伴,并且可以扩展到任何数量级上的SDN企业合作伙伴选择问题。(4)基于合作对策理论和Topsis法,提出了SDN多节点综合利益分配模型。该模型是一种考虑多种因素的综合利益分配机制模型,有效地避免了单一利益分配机制模型所带来的缺陷,满足了SDN各节点对合作关系的预期分配利益,既体现了公平合理的原则,又避免了平均分配吃大锅饭的现象。
[Abstract]:At present, economic globalization has formed a huge new market system of super-national boundaries. In the development of enterprises, enterprises have established a high degree of mutual dependence and mutual cooperation, and the frequent flow of elements, such as goods, services, capital, technology and knowledge in the international, The global economic activity is becoming more and more complex. In such a complex state, the new economic activity of all enterprises is somewhat less experienced. The traditional supply chain management mode has become more and more obvious, so a brand-new enterprise management idea--the multi-functional open-type enterprise supply and demand network model arises. The Supply and Demand Network of Enterprises with multi-functional and opening character is the goal of global resource acquisition, global manufacturing, global sales and the improvement of the enterprise's comprehensive ability. A multi-functional open-and-demand dynamic network model formed by the interaction of various "supply and demand flow" between the relevant enterprises. The SDN system is supported by the network information platform and related service facilities, and is a complex economic system with the global market as the external environment. as a complex economic system, the various elements and subsystems covered by the sdn system are very complex and numerous, and the complex non-linear functions occur in various ways between the supply and demand sub-systems and the elements inside the sub-system, Various complex forms of dissipation structure are generated in time and space, so that the SDN system can generate phase change, and the SDN system can be promoted from low-level to high-level, and from simple to complex and continuous evolution. In the evolution process, the enhancement of the adaptability of the SDN system depends on the cooperation between the supply and demand subsystem and the elements within the subsystem. The purpose of the SDN management is to make the SDN system as much as possible to the ideal cooperative state. Therefore, the cooperation problem of SDN is the difficult problem of SDN management, and the cooperation process of SDN is the process of cooperation optimization and benefit coordination among the elements of the SDN system. In view of this, this paper, based on the system scientific thought, takes the game theory, the intelligent optimization method, the entropy theory, the mixed-time theory, the evolution game theory, the cooperative game theory and the Topsis multi-objective decision-making technology as the main method of the research, in combination with the enterprise management thought and the development law of the SDN system, A tentative study of SDN's cooperative optimization and profit distribution mechanism was carried out. The paper is divided into 8 chapters: the first is the related literature review and the question (Chapter 1), then the basic research and the complexity analysis of the SDN system (Chapter 2), the root cause of the non-linear behavior of the SDN system is discussed, and the supply and demand flow entropy is described in detail. The method of constructing the entropy of the structure entropy and the cooperative innovation ability and the representation method of the complexity order degree of the SDN system, and the extension study on the cooperation optimization of the SDN (Chapter 3 to Chapter 5), respectively, from the cooperation optimization decision model, the cooperation intention degree and the evolution stability, The selection and optimization of the partner are discussed, the full cooperation decision-making model and the complete non-cooperative decision-making model between the two nodes of the SDN are established, the supply demand is compared, the system profit and the product yield change of the two nodes under the relatively balanced supply and demand are compared, quantitatively analyzing the preference degree and the evolution stability of the cooperative behavior of the enterprise, and deeply exploring the influence of the production technology level of the enterprise on the optimization decision of the enterprise cooperation, and applying the improved particle swarm intelligence optimization algorithm to the multi-objective decision model selected by the SDN enterprise partner; Thirdly, the mechanism of the SDN's interest distribution mechanism is studied (Chapter 6, Chapter 7), the principle of the establishment of the SDN enterprise's interest distribution mechanism is established, the game pattern and the benefit distribution method between the SDN nodes are analyzed, and the internal mechanism of the SDN node's interest distribution model is discussed. The SDN multi-node benefit distribution model based on the cooperative game theory and the Topsis method is put forward, and the implementation method of the SDN node's interest distribution mechanism is given. Finally, this paper is the summary of this paper (Chapter 8). The main innovation of this thesis is: (1) Based on the thought of system science, the complexity of the SDN system is measured based on the theory of entropy and the theory of mixing. The research can deepen the understanding of the complexity, cooperation and cooperation of SDN formation and evolution process, and put forward a relatively new theoretical and research perspective in the SDN study through the cross-fusion of the subject. (2) Using the theory of game theory and evolutionary game theory, the model of SDN's cooperative optimization decision-making is constructed, and the cooperation intention and evolution stability of SDN are discussed. In this paper, the cooperation optimization problem of the multi-supply chain in the same product market is extended to the problem of the cooperation optimization among the different product market supply chain, and the possibility of the cooperation between the two nodes of the SDN and the size of the cooperation space are analyzed quantitatively. In addition, by using the ESS thought in the process of biological evolution, the cooperation intention degree and its evolution stability of SDN were studied. This method can not only explain the cooperative motivation of SDN, but also can explain whether the cooperative optimization decision of SDN has the stability, that is, whether the cooperative behavior of the enterprise can continue in the long-term evolution process. At the same time, the method can indicate that an enterprise with a bad behavior can invade or affect the whole enterprise group under any condition. And (3) the improved particle swarm intelligence optimization method is applied to the multi-objective decision model selected by the SDN enterprise partner. Compared with the standard particle swarm optimization algorithm, the improved particle swarm algorithm is used for solving the problem that the SDN enterprise partner selection optimization problem has a better effect, and the algorithm can quickly and accurately find the best partner for the SDN enterprise, And can be extended to an SDN enterprise partner selection issue on any order of magnitude. (4) Based on the cooperative game theory and the Topsis method, an SDN multi-node comprehensive benefit distribution model is proposed. The model is an integrated benefit distribution mechanism model which takes into account a plurality of factors, effectively avoids the defects caused by the single-interest distribution mechanism model, meets the expected distribution benefit of the SDN nodes to the cooperative relationship, and both embodies the principle of fairness and fairness, And the phenomenon that the rice is evenly distributed is avoided.
【学位授予单位】：上海理工大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：F273.7

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