本文選題：智能制造 + 創(chuàng)新生態(tài)系統(tǒng)��； 參考：《合肥工業(yè)大學(xué)》2017年博士論文

【摘要】：生態(tài)化、有機式的智能制造創(chuàng)新生態(tài)系統(tǒng)是科技進步、國際競爭及生態(tài)發(fā)展的必然結(jié)果,它不僅具有開放式創(chuàng)新、綠色創(chuàng)新、可持續(xù)創(chuàng)新、網(wǎng)絡(luò)創(chuàng)新等多種創(chuàng)新模式的優(yōu)勢,同時由于新興信息技術(shù)與創(chuàng)新過程及創(chuàng)新過程管理的深度融合,創(chuàng)新資源及其組織呈現(xiàn)出創(chuàng)新資源服務(wù)化、創(chuàng)新能力社會化及創(chuàng)新過程協(xié)同化等新的特點。創(chuàng)新資源的組織在范圍上跨越了企業(yè)邊界,從形式上體現(xiàn)為智能創(chuàng)新服務(wù)單元的聯(lián)合,使得創(chuàng)新聯(lián)盟的形態(tài)發(fā)生根本變化,創(chuàng)新決策跨越了整個價值鏈,社會化網(wǎng)絡(luò)協(xié)同成為主要的創(chuàng)新活動方式。這些變化促使創(chuàng)新系統(tǒng)從以往關(guān)注創(chuàng)新要素構(gòu)成及資源配置的靜態(tài)結(jié)構(gòu)性問題,逐漸演變?yōu)榭鐑r值鏈的多層次創(chuàng)新服務(wù)資源之間相互作用機制的動態(tài)自組織問題,對自組織理論在智能制造創(chuàng)新生態(tài)系統(tǒng)中的研究和具體應(yīng)用提出了新的挑戰(zhàn)。本文針對智能制造創(chuàng)新生態(tài)系統(tǒng)中服務(wù)資源所呈現(xiàn)出的新特點,對創(chuàng)新資源的動態(tài)自組織問題展開了相關(guān)研究。首先基于創(chuàng)新客體不斷智能互聯(lián)化的發(fā)展趨勢,研究了智能互聯(lián)產(chǎn)品結(jié)構(gòu)下創(chuàng)新服務(wù)群體的成員選擇問題;然后根據(jù)創(chuàng)新生態(tài)系統(tǒng)中的小群體服務(wù)特性,給出了服務(wù)群體自主協(xié)同的任務(wù)分配方法;最后結(jié)合社會化創(chuàng)新服務(wù)群體所呈現(xiàn)出的新的網(wǎng)絡(luò)結(jié)構(gòu)特征,提出了基于結(jié)構(gòu)熵的創(chuàng)新服務(wù)群體網(wǎng)絡(luò)自適應(yīng)演化方法。主要研究內(nèi)容和創(chuàng)新點總結(jié)如下:(1)針對智能制造中產(chǎn)品形態(tài)的變化,圍繞網(wǎng)絡(luò)部件、物理部件等多種形態(tài)的產(chǎn)品結(jié)構(gòu),定義了智能互聯(lián)產(chǎn)品中空間、能量、信息、物質(zhì)及邏輯等五種部件依賴關(guān)系。指出社會化服務(wù)資源網(wǎng)絡(luò)協(xié)作的產(chǎn)品創(chuàng)新是創(chuàng)新生態(tài)系統(tǒng)的主要業(yè)務(wù)模式,并基于創(chuàng)新服務(wù)群體與產(chǎn)品結(jié)構(gòu)之間的協(xié)同對應(yīng)關(guān)系,分析了創(chuàng)新生態(tài)系統(tǒng)中服務(wù)資源的協(xié)同機制,構(gòu)建了服務(wù)資源交互協(xié)同過程管理的參考框架。為改善產(chǎn)品協(xié)同創(chuàng)新的有效性和準確性提供了理論支持,對智能制造創(chuàng)新生態(tài)系統(tǒng)中多樣性服務(wù)資源協(xié)同創(chuàng)新的交互過程管理提供了參考依據(jù)。(2)提出了智能互聯(lián)產(chǎn)品結(jié)構(gòu)下創(chuàng)新服務(wù)群體的成員選擇方法�；诋a(chǎn)品結(jié)構(gòu)與創(chuàng)新群體的結(jié)構(gòu)同構(gòu)性,分析了智能互聯(lián)產(chǎn)品結(jié)構(gòu)對研發(fā)成員選擇的影響機理,指出產(chǎn)品部件之間的依賴交互模式界定了研發(fā)人員之間協(xié)同交互的能力范圍,并運用多領(lǐng)域矩陣方法提取出服務(wù)群體滿足產(chǎn)品結(jié)構(gòu)要求的理想?yún)f(xié)同矩陣,且將其作為成員選擇標準之一。從科技信息交互的維度度量了不同研發(fā)人員之間的實際協(xié)同交互能力,并據(jù)此計算得出其實際協(xié)同矩陣。綜合比較理想?yún)f(xié)同矩陣和實際協(xié)同矩陣計算得出創(chuàng)新群體的協(xié)同赤字,用以刻畫研發(fā)成員對產(chǎn)品結(jié)構(gòu)協(xié)同要求的滿足水平。最后結(jié)合研發(fā)團隊的協(xié)同成本構(gòu)建產(chǎn)品研發(fā)成員的選擇模型。實驗驗證該方法可提升對創(chuàng)新服務(wù)資源的組織管理及協(xié)調(diào)控制水平,可以為最大限度的利用社會化服務(wù)資源,改善企業(yè)調(diào)動社會知識及其整合能力提供技術(shù)支持。(3)構(gòu)建了創(chuàng)新服務(wù)群體自主協(xié)同的研發(fā)任務(wù)分配機制。智能制造創(chuàng)新生態(tài)系統(tǒng)中的服務(wù)群體是由多個社會化創(chuàng)新服務(wù)單元所構(gòu)成的成員有限的小群體,首先從創(chuàng)新主體所具有的任務(wù)信息、任務(wù)資源及對任務(wù)偏好等不同角度分析了小服務(wù)群體研發(fā)任務(wù)的協(xié)調(diào)分配過程,并基于創(chuàng)新主體對任務(wù)目標的感知狀態(tài)及所擁有的實現(xiàn)該任務(wù)目標的資源條件,定義了創(chuàng)新任務(wù)可行性的四種狀態(tài)。利用創(chuàng)新任務(wù)不同可行性狀態(tài)之間的路徑轉(zhuǎn)換,來刻畫成員動態(tài)變化對群體創(chuàng)新任務(wù)可行性的不同影響方式,最終結(jié)合群體偏好給出了服務(wù)群體創(chuàng)新任務(wù)的協(xié)商分配機制,形成了一個基于小群體協(xié)商的創(chuàng)新服務(wù)群體自主協(xié)同的動態(tài)任務(wù)分配方法,是本研究在群體決策理論方面的創(chuàng)新。(4)從協(xié)同進化的角度,對智能制造創(chuàng)新生態(tài)系統(tǒng)中服務(wù)群體的協(xié)同演化過程進行了深入研究。針對創(chuàng)新服務(wù)群體所具有的不同網(wǎng)絡(luò)結(jié)構(gòu)特征,給出對社會化創(chuàng)新服務(wù)單元的多粒度劃分及其相互關(guān)系的異質(zhì)性分析。依據(jù)創(chuàng)新服務(wù)單元之間的不同相互關(guān)系對創(chuàng)新網(wǎng)絡(luò)穩(wěn)定性的影響,將不同異質(zhì)性關(guān)系劃分為正向關(guān)系和負向關(guān)系兩大類。給出了正向關(guān)系的多維鄰近性表征及度量方法,并運用生態(tài)位理論對競爭關(guān)系進行了重新定義和建模,用以描述負向關(guān)系強度。最后基于熵理論,實現(xiàn)了對創(chuàng)新服務(wù)單元多粒度性及其不同相互關(guān)系對網(wǎng)絡(luò)結(jié)構(gòu)穩(wěn)定性影響的有效度量,構(gòu)建了基于結(jié)構(gòu)熵的創(chuàng)新服務(wù)群體網(wǎng)絡(luò)結(jié)構(gòu)自適應(yīng)演化方法,為智能制造創(chuàng)新生態(tài)系統(tǒng)中服務(wù)群體的協(xié)同演化提供了新的研究視角。本文針對新興信息技術(shù)環(huán)境下智能制造創(chuàng)新資源及其組織所呈現(xiàn)出的新特點,充分利用已有研究成果,系統(tǒng)分析了智能制造創(chuàng)新生態(tài)系統(tǒng)的形成、運行及演化等自組織過程,并就不同過程圍繞基于智能互聯(lián)產(chǎn)品結(jié)構(gòu)的創(chuàng)新服務(wù)資源選擇、創(chuàng)新服務(wù)群體自主協(xié)同的研發(fā)任務(wù)分配以及創(chuàng)新服務(wù)群體的網(wǎng)絡(luò)協(xié)同演化等方面展開了研究,初步形成了較為完整的智能制造創(chuàng)新生態(tài)系統(tǒng)自組織的理論體系,為智能制造創(chuàng)新生態(tài)系統(tǒng)的研究開拓了更為廣闊的空間。
[Abstract]:Ecological, organic and intelligent manufacturing innovation ecosystem is the inevitable result of scientific and technological progress, international competition and ecological development. It not only has the advantages of open innovation, green innovation, sustainable innovation, network innovation and other innovative models, but also because of the advanced integration of new information technology and innovation process and innovation process management. The new resources and their organizations show new characteristics such as service of innovation resources, socialization of innovation ability and synergy of innovation process. The organization of innovative resources across the boundary of the enterprise, form the form of the union of intelligent innovation service unit, making the form of innovation alliance change radically, and the innovation decision spanned the whole price. Value chain, social network collaboration has become the main innovative way of innovation. These changes have prompted the innovation system to gradually evolve into a dynamic self-organization problem of the interaction mechanism of multi-layer innovation service resources across the value chain, and the self-organization theory in intelligence. The research and application in the manufacturing innovation ecosystem put forward a new challenge. In this paper, the new characteristics of the service resources in the intelligent manufacturing innovation ecosystem are presented, and the dynamic self-organization of the innovative resources is studied. First, based on the development trend of the continuous intelligent interconnection of the innovative object, the intelligent interconnection is studied. According to the characteristics of small group service in the innovative ecosystem, the task allocation method of the independent collaboration of service groups is given. Finally, a new service group network based on the structure entropy is proposed in the light of the new network structure features presented by the socialized innovation service group. The main research contents and innovation points are summarized as follows: (1) according to the changes in the product form in intelligent manufacturing, five components, such as space, energy, information, material and logic in intelligent interconnected products, are defined, and the social service resource network is pointed out by the variety of product structures such as network components and physical components. The product innovation of collaterals collaboration is the main business model of the innovation ecosystem, and based on the cooperative correspondence between the innovation service group and the product structure, the cooperative mechanism of service resources in the innovative ecosystem is analyzed, and the reference frame of the service resource interaction and coordination process management is constructed. The effectiveness and the effectiveness of the collaborative innovation of the product are improved. The accuracy provides theoretical support and provides a reference for the interactive process management of collaborative innovation of diversity service resources in the intelligent manufacturing innovation ecosystem. (2) the selection method of the members of the innovative service group under the intelligent interconnected product structure is proposed. Based on the structure isomorphism of the product structure and the innovative group, the intelligent interlinked production is analyzed. The effect mechanism of product structure on the selection of R & D members is presented. It is pointed out that the interactive mode between product components defines the scope of collaborative interaction between R & D personnel, and uses a multi domain matrix method to extract the ideal collaboration matrix of the service group to meet the requirements of the product structure, and takes it as one of the member selection criteria. The interactive dimensions measure the actual cooperative interaction between different R & D personnel, and then calculate the actual synergy matrix. A comprehensive comparison of the ideal synergy matrix and the actual coordination matrix is used to calculate the synergistic deficit of the innovative group, which is used to describe the satisfaction level of the research and development members on the collaborative requirements of the product structure. Finally, the research group is combined with the R & D group. The cooperative cost of the team builds the selection model of the product R & D members. The experiment proves that this method can improve the level of organizational management and coordination control of innovative service resources, and can provide technical support for maximizing the use of social service resources and improving enterprises to mobilize social knowledge and its integration ability. (3) the innovation service group has been constructed. The service group in the intelligent manufacturing innovation ecosystem is a small group composed of several socialized innovation service units. First, it analyzes the coordination of the research and development task of the small service group from the task information, task resources and task preference. The allocation process, based on the perception state of the task target and the resource conditions of the task target, defines the four states of the feasibility of the innovation task. It uses the path transformation between the different feasibility states of the innovation task to describe the different influence parties on the feasibility of the dynamic transformation of the members to the group innovation task. In the end, the negotiation and distribution mechanism of the service group innovation task is given in combination with group preference, and a dynamic task allocation method based on the independent collaboration of the innovative service group based on small group negotiation is formed. It is the innovation of this research in the group decision-making theory. (4) from the perspective of synergy, the service of the intelligent manufacturing innovation ecosystem is served. According to the different network structure features of the innovative service groups, the multi granularity division and the heterogeneity analysis of the social innovation service units are given. The influence of the different relationships among the innovative service units on the stability of the innovation network will be different. The qualitative relationship is divided into two categories: positive relation and negative relationship. The multidimensional proximity characterization and measurement method of positive relation are given. The competitive relationship is redefined and modeled by using niche theory to describe the strength of negative relationship. Finally, based on entropy theory, the multi granularity and different phase of innovation service unit are realized. The effective measure of the influence of interrelationship on the stability of network structure is to construct an adaptive evolution method for the network structure of innovative service groups based on structure entropy, which provides a new research perspective for the cooperative evolution of the service groups in the intelligent manufacturing innovation ecosystem. The new characteristics of the fabric are made full use of the existing research results, and the self-organizing process of the formation, operation and evolution of the intelligent manufacturing innovation ecosystem is systematically analyzed, and the selection of innovative service resources based on the intelligent interconnected product structure, the distribution of R & D task distribution and the innovation service of the independent collaboration of the service group are innovating in different processes. The research on the cooperative evolution of the group network has been carried out, and a more complete theoretical system of self organization of the intelligent manufacturing innovation ecosystem has been formed, which has opened up a wider space for the research of the intelligent manufacturing innovation ecosystem.
【學(xué)位授予單位】：合肥工業(yè)大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2017
【分類號】：F273.1

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