本文選題：云制造 + 資源配置　； 參考：《天津大學》2014年碩士論文

【摘要】：在國際化的競爭環(huán)境中,越來越多的企業(yè)傾向于撬動外部可利用的資源,充分配置可調(diào)用的資源,這樣才能迎合市場多變的需求,從而在競爭中取勝。物聯(lián)網(wǎng)技術(shù)及云計算技術(shù)為制造模式的革新奠定了技術(shù)基礎(chǔ)。在此背景下,“云制造”模式應(yīng)運而生,企業(yè)可以通過云制造服務(wù)平臺進行制造資源及能力的交易及共享,其資源配置問題便成為了新的研究重點。因此,本文就云制造模式下企業(yè)制造資源的動態(tài)優(yōu)化配置問題展開了研究。首先,分析了云制造模式下企業(yè)資源的動態(tài)優(yōu)化配置問題。在云制造模式下,企業(yè)擁有的眾多剩余資源被整合成為一體,構(gòu)成了一個整體對外的服務(wù)中心,但由于資源的產(chǎn)權(quán)關(guān)系,云制造服務(wù)平臺對資源配置的結(jié)果可能與單個資源所有者的決策矛盾。為弱化這種影響,云制造資源配置就需要從云制造服務(wù)平臺的角度出發(fā),以整個云制造服務(wù)系統(tǒng)的總利潤為決策依據(jù)。由于云制造服務(wù)平臺上企業(yè)間的競合關(guān)系以及網(wǎng)絡(luò)外部性的存在,各企業(yè)為保證自身收益最大化,也會服從云制造服務(wù)平臺的集中管理。其次,建立了基于Pareto最優(yōu)的剩余資源動態(tài)優(yōu)化配置模型。該模型中云制造資源需求方及云制造資源提供方的制造資源及能力總量的變化率是由制造資源及能力總量的自然衰減、制造資源及能力總量的自增長及云制造模式下資源交易帶來的增長共同決定的。此模型的目標是滿足整個云平臺系統(tǒng)中所有企業(yè)的利潤最大,它的控制變量為各個云提供方提供給需求方的資源占比。采用極大值原理求解該模型,最終得到了云平臺上各企業(yè)資源優(yōu)化配置的Pareto最優(yōu)戰(zhàn)略。最后,對模型進行仿真分析,探究了此模型的管理意義。通過設(shè)計算例,驗證了本文建立的模型的可行性,并挖掘出供需雙方交易的資源總量與其成本系數(shù)、收益轉(zhuǎn)化系數(shù)間的關(guān)系,為云平臺運營者及各參與企業(yè)提出現(xiàn)實的指導意義。
[Abstract]:In the international competitive environment, more and more enterprises tend to leverage the external available resources and fully allocate the transferable resources, so as to meet the changing needs of the market and win in the competition. Internet of things technology and cloud computing technology for the innovation of manufacturing model laid the technical foundation. Under this background, the "cloud manufacturing" model emerges as the times require, enterprises can trade and share manufacturing resources and capabilities through the cloud manufacturing service platform, so the problem of resource allocation has become a new research focus. Therefore, the dynamic optimal allocation of manufacturing resources in cloud manufacturing mode is studied in this paper. Firstly, the dynamic optimal allocation of enterprise resources in cloud manufacturing mode is analyzed. In the cloud manufacturing model, many remaining resources owned by enterprises are integrated into one, forming a whole external service center, but due to the property rights of the resources, The result of resource allocation in cloud manufacturing service platform may contradict the decision of individual resource owner. In order to weaken this effect, the allocation of cloud manufacturing resources should be based on the total profit of the whole cloud manufacturing service system from the point of view of cloud manufacturing service platform. Because of the competition and cooperation among enterprises and the existence of network externalities on cloud manufacturing service platform, in order to ensure the maximum of their own income, enterprises will also serve the centralized management of cloud manufacturing service platform. Secondly, the dynamic optimal allocation model of residual resources based on Pareto optimization is established. In this model, the change rate of the total manufacturing resources and capacity of the cloud manufacturing resources and the cloud manufacturing resource providers is the natural attenuation of the total manufacturing resources and capabilities. The self-growth of total manufacturing resources and capacity and the growth caused by resource trading in cloud manufacturing mode are jointly determined. The goal of this model is to satisfy the maximum profit of all enterprises in the whole cloud platform system, and its control variable is the proportion of resources provided to the demand side by each cloud provider. The maximum principle is used to solve the model, and the Pareto optimal strategy for the optimal allocation of enterprise resources on the cloud platform is finally obtained. Finally, the model is simulated and analyzed, and the management significance of the model is explored. The feasibility of the model is verified by a design example, and the relationship between the total amount of resources traded between supply and demand, their cost coefficient and income conversion coefficient is found out. For the cloud platform operators and participating enterprises to put forward the practical significance of guidance.
【學位授予單位】：天津大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F424.3

【引證文獻】

相關(guān)碩士學位論文 前1條

1 侯紹波;云制造模式下制造資源優(yōu)化配置研究[D];天津理工大學;2017年

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本文編號：2103881