供需網(wǎng)企業(yè)合作優(yōu)化及利益分配機制研究
發(fā)布時間：2019-05-18 17:56
【摘要】：當(dāng)前,經(jīng)濟全球化形成了超國界的巨大新市場體系,各國企業(yè)在發(fā)展中確立了高度互相依存與互相合作的關(guān)系,商品、服務(wù)、資本、技術(shù)、知識等要素在國際間的頻繁流動,令全球經(jīng)濟活動日趨錯綜復(fù)雜。在這種錯綜復(fù)雜的狀態(tài)下,各國企業(yè)對新的經(jīng)濟活動都顯得有些經(jīng)驗不足。傳統(tǒng)的供應(yīng)鏈管理模式已日益顯現(xiàn)其不足之處,因此一種全新的企業(yè)管理理念---多功能開放型企業(yè)供需網(wǎng)模式便應(yīng)運而生。多功能開放型企業(yè)供需網(wǎng)(Supply and Demand Network of enterprises with multi-functional and opening characteristics,簡稱供需網(wǎng)或SDN)是指以全球資源獲取、全球制造、全球銷售和提高企業(yè)綜合能力為目標(biāo),相關(guān)企業(yè)之間由于多種“供需流”的交互作用而形成的一種多功能開放式的供需動態(tài)網(wǎng)絡(luò)模式。SDN系統(tǒng)以網(wǎng)絡(luò)信息平臺和相關(guān)服務(wù)設(shè)施為支撐,以全球市場為外部環(huán)境的復(fù)雜經(jīng)濟系統(tǒng)。SDN系統(tǒng)作為復(fù)雜的經(jīng)濟系統(tǒng),其涵蓋的各種要素和子系統(tǒng)是非常復(fù)雜與繁多的,這些供需子系統(tǒng)之間以及子系統(tǒng)內(nèi)部各要素之間以各種方式發(fā)生復(fù)雜的非線性作用,在時間和空間上產(chǎn)生各種復(fù)雜形式的耗散結(jié)構(gòu),使SDN系統(tǒng)產(chǎn)生相變,促進(jìn)SDN系統(tǒng)從低級到高級、從簡單到復(fù)雜不斷的演化。在演化過程中,SDN系統(tǒng)適應(yīng)性的增強依賴供需子系統(tǒng)之間以及子系統(tǒng)內(nèi)部各要素之間的合作。SDN管理的目的就是使SDN系統(tǒng)盡量趨于理想的合作狀態(tài)。因此,SDN的合作問題是SDN管理的難題,也是首要問題,而SDN的合作過程本質(zhì)上是SDN系統(tǒng)各要素之間合作優(yōu)化與利益協(xié)調(diào)的過程。鑒于此,本文以系統(tǒng)科學(xué)思想為基礎(chǔ),以博弈論、智能優(yōu)化方法、熵理論、混沌理論、演化博弈論、合作對策理論、Topsis多目標(biāo)決策技術(shù)作為研究的主要方法,結(jié)合企業(yè)管理思想和SDN系統(tǒng)的發(fā)展規(guī)律,對SDN企業(yè)合作優(yōu)化及利潤分配機制進(jìn)行了嘗試性研究。全文共分8章:首先是相關(guān)文獻(xiàn)綜述及問題的提出(第1章);接著是對SDN系統(tǒng)的基礎(chǔ)研究及復(fù)雜性分析(第2章),探討了SDN系統(tǒng)產(chǎn)生非線性行為的根本原因,詳細(xì)闡述了供需流熵、結(jié)構(gòu)熵和合作創(chuàng)新能力熵的構(gòu)建步驟以及SDN系統(tǒng)復(fù)雜性有序度的表示方法;其次是對SDN企業(yè)合作優(yōu)化的擴展研究(第3章至第5章),分別從合作優(yōu)化決策模型、合作意愿度及演化穩(wěn)定性、合作伙伴選擇及優(yōu)化進(jìn)行論述,建立了SDN兩節(jié)點之間完全合作決策模型和完全非合作決策模型,比較了供大于求、供小于求和供需相對平衡下兩節(jié)點的系統(tǒng)利潤及產(chǎn)品產(chǎn)量變化情況,定量地分析企業(yè)合作行為的偏好程度及其演化穩(wěn)定性,深入探討企業(yè)的生產(chǎn)技術(shù)水平對企業(yè)合作優(yōu)化決策的影響,并將改進(jìn)的粒子群智能優(yōu)化算法應(yīng)用于SDN企業(yè)合作伙伴選擇的多目標(biāo)決策模型中;再次是對SDN企業(yè)利益分配機制進(jìn)行研究(第6章、第7章),確定了SDN企業(yè)利益分配機制設(shè)置的原則,分析了SDN節(jié)點之間的博弈格局和利益分配方法,深入探討了SDN節(jié)點利益分配模型的內(nèi)在機理,提出了基于合作對策理論和Topsis法的SDN多節(jié)點利益分配模型,給出了SDN節(jié)點利益分配機制的具體實施方法;最后是本文的總結(jié)(第8章)。本論文的主要創(chuàng)新之處在于:(1)基于系統(tǒng)科學(xué)的思想,以熵理論和混沌理論為基礎(chǔ),對SDN系統(tǒng)的復(fù)雜性進(jìn)行度量。該研究能夠深化對SDN形成與演化過程的復(fù)雜性、合作和協(xié)同性的認(rèn)識,并通過學(xué)科的交叉融合在SDN研究中提出相對新穎的理論觀點和研究視角。(2)運用博弈理論和演化博弈理論的分析方法,構(gòu)建了SDN企業(yè)合作優(yōu)化決策模型,深入探討了SDN企業(yè)合作意愿度及演化穩(wěn)定性。本文將同一產(chǎn)品市場多供應(yīng)鏈的合作優(yōu)化問題推廣到不同產(chǎn)品市場供應(yīng)鏈跨鏈間的合作優(yōu)化問題,從定量上分析了SDN兩節(jié)點之間合作的可能性及合作空間的大小。另外,通過借鑒生物進(jìn)化過程中的ESS思想,研究了SDN企業(yè)合作意愿度及其演化穩(wěn)定性。使用該方法進(jìn)行研究,不僅可以說明SDN企業(yè)的合作動機,而且可以解釋SDN企業(yè)的合作優(yōu)化決策是否具有穩(wěn)定性,即企業(yè)的合作行為能否在長期的演化過程中持續(xù)下去。同時,該方法可以說明有敗德行為的企業(yè)在什么條件下會侵入或影響整個企業(yè)群體。(3)將改進(jìn)的粒子群智能優(yōu)化方法應(yīng)用于SDN企業(yè)合作伙伴選擇的多目標(biāo)決策模型中。相比于標(biāo)準(zhǔn)粒子群算法,改進(jìn)的粒子群算法用于求解SDN企業(yè)合作伙伴選擇優(yōu)化問題具有更加良好的效果,該算法可以快速、精確地為SDN企業(yè)找到最佳的合作伙伴,并且可以擴展到任何數(shù)量級上的SDN企業(yè)合作伙伴選擇問題。(4)基于合作對策理論和Topsis法,提出了SDN多節(jié)點綜合利益分配模型。該模型是一種考慮多種因素的綜合利益分配機制模型,有效地避免了單一利益分配機制模型所帶來的缺陷,滿足了SDN各節(jié)點對合作關(guān)系的預(yù)期分配利益,既體現(xiàn)了公平合理的原則,又避免了平均分配吃大鍋飯的現(xiàn)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.
【學(xué)位授予單位】：上海理工大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：F273.7
本文編號：2480210
[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.
【學(xué)位授予單位】：上海理工大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：F273.7
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，本文編號：2480210
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