本文選題：集散型物流 + 義烏小商品市場��； 參考：《浙江工商大學》2016年博士論文

【摘要】：小商品專業(yè)市場在國民經濟中有著重要作用,同時,物流產業(yè)的發(fā)展對于區(qū)域經濟的發(fā)展有顯著的促進作用。目前,小商品集散物流服務主要依賴中小物流企業(yè)完成,物流組織松散、標準化程度低、信息化水平低、成本高居不下,迫切需要整合物流資源,提高物流運作效率。信息技術有助于促進物流企業(yè)內外部的協同,整合物流資源,以應對電子商務等新業(yè)態(tài)背景下專業(yè)市場所面臨的更為松散、高效、高質的物流服務需求,提高專業(yè)市場集散物流服務能力。云計算作為新一代信息技術的重要代表,為企業(yè)提供了一種嶄新的信息化建設模式,可加速中小企業(yè)的信息化建設進程。本文以云計算為技術基礎,以協同管理為理論支撐,針對集散型物流服務構建了物流云服務平臺,深入剖析了物流云服務的本質,研究了云環(huán)境下集散型物流服務中橫向協同與縱向協同模型與優(yōu)化方法。利用云計算技術的按需定制、按需使用、按需付費的服優(yōu)勢,構建集散型物流云服務平臺,促進中小物流企業(yè)的信息技術采納,利用物流云服務平臺的IT服務數據與企業(yè)IT系統(tǒng)的無縫鏈接特性,通過物流交易模塊實現在線需求和離線需求的統(tǒng)一管理,整合松散物流資源以及集散物流訂單進行物流資源的優(yōu)化配置。本文在文獻研究的基礎上,首先深入義烏小商品專業(yè)市場對其配套物流的供需現狀進行調研,總結小商品集散型物流的主要特征為“批量小、平均生命周期短、種類多、需求不可預測性高”。隨后,本文根據小商品集散型物流特性提出基于云計算技術的集散型物流服務云平臺的建設框架,從云用戶的需求出發(fā)探討了云平臺的基本軟硬件要求、技術架構、服務定制交互流程、傳導機理以及集散型物流服務的交易匹配原理,指出實現該物流云平臺最關鍵的技術問題為：①物流資源的虛擬化問題；②云環(huán)境下物流企業(yè)間的協同管理問題�；谏鲜鲅芯�,本文深入探索了物流服務云平臺中的同類物流服務供應商之間的橫向和縱向協同模型及優(yōu)化方法。因船運作為小商品集散物流的主要物流渠道,故本文以物流云平臺內的集散型國際船運服務聯盟為例,展開研究橫向協同模型與優(yōu)化方法研究。根據協同成員對物流云服務中心的信任程度不同,將平臺內的協同成員分為信任型、半信任型兩類,在此基礎上確定了云服務中心的協同任務和協同資源的整合范圍,構建了基于信任的物流資源配置的協同優(yōu)化模型,并提出運用融合產生式規(guī)則的遺傳算法求解服務協同網絡總體利潤最高的匹配方案。然后以小商品專業(yè)市場出口交易中相關航線貨運服務協同問題為案例,在航線、船容量等約束條件下,從運輸服務能力的角度將任務分解、尋優(yōu)、重組。通過以中東航線的集散型國際海運運輸問題為例,對協同模型進行驗證、求解,并比較分析了多組試驗結果,總結討論了模型的適用范圍及其局限,并提出了模型的改進方向。接著,本文對物流服務云平臺中跨類物流服務供應商之間的縱向協同模型及優(yōu)化方法進行研究。以物流一體化服務組合需求為研究點,基于物流云服務平臺的交易環(huán)境,提出了基于能力互補的物流服務組合優(yōu)化方法,旨在從大量的同類異質的物流服務供應商中選擇一體化組合方案。本文建立了以物流服務可用性、可靠性和信譽度為約束條件且滿足服務費用、服務時間的Web服務組合多目標優(yōu)化模型,運用改進粒子群多目標優(yōu)化算法進行求解。研究提出了服務組合參與成員的能力互補度測算方法,通過互補度系數排序優(yōu)先推薦互補度高服務組合方案,以提高互補度高的企業(yè)間進行長期合作的概率,從而促進物流產業(yè)的資源整合與協作創(chuàng)新。研究以小商品國際采購物流作為案例,對倉儲、包裝、集裝箱運輸、關務等服務節(jié)點進行仿真研究,研究結果驗證了本文提出方法的有效性。然后,結合前文所述的集散型物流服務平臺的功能框架、架構技術和協同管理方法,本文從云發(fā)商業(yè)模式機理出發(fā)研究云物流服務平臺運營模式,探索了云平臺下的集散型物流服務模式及其增值機制,并總結了云環(huán)境下關于集散型物流服務的管理啟示。最后,本文總結了論文主要的研究成果以及研究的不足,展望了未來有待解決的研究問題。縱觀全文,本文的主要創(chuàng)新點有：①總結了集散型物流云服務的供需特征,構建了基于云計算的集散型物流服務云的架構,有的物流IT云服務與物流交易云服務整合,實現平臺內部需求與平臺外部需求的協同管理,深入剖析了其軟硬件配置、運作機理、協同匹配原理；②在集散型物流服務云環(huán)境下,根據協同參與成員對協同中心的信任程度不同,提出物流服務協同成員的信任屬性分類方法,并以此建立了基于信任的物流服務協同模型；③在集散型物流服務云環(huán)境下,為促進互補度高的物流服務供應商建立長期合作伙伴關系,提出服務組合的服務供應商間的互補度系數的測算辦法,并采用互補度降序法推薦組合方案給客戶,以提高互補度高的服務組合方案的選擇概率,從而促進物流行業(yè)資源整合與協同發(fā)展；④對現有的智能算法進行改進。提出了基于產生式規(guī)則的遺傳算法優(yōu)化算法,縮減了求解范圍,加快了求解速度;提出基于網格技術的粒子群多目標優(yōu)化算法,通過網格粒子密度計算,使帕累托解的盡可能呈現均勻分布。
[Abstract]:The small commodity market plays an important role in the national economy. At the same time, the development of the logistics industry has a significant role in promoting the development of the regional economy. At present, the small commodity distribution logistics service mainly depends on the completion of the small and medium logistics enterprises, the logistics organization is loose, the level of standardization is low, the level of information is low, and the cost is high, and it is urgently needed. Integration of logistics resources to improve the efficiency of logistics operation. Information technology helps to promote the coordination of internal and external logistics enterprises and integrate logistics resources to cope with the more loose, efficient, high-quality logistics service demand in the professional market and the ability to improve the distribution of logistics services in the professional market. As an important representative of information technology, it provides a new model of information construction for enterprises and accelerates the process of information construction of small and medium-sized enterprises. This paper, based on cloud computing as the technical basis, supports the theory of collaborative management, constructs a logistics cloud service platform for distributed logistics services, and deeply analyzes the essence of the logistics service. The model and optimization method of horizontal coordination and vertical coordination in distributed logistics service under the cloud environment are studied. Using the requirements of the cloud computing technology to customize, use and pay for the service, build a distributed logistics cloud service platform, promote the information technology acceptance of the small and medium logistics enterprises, and use the IT service data and enterprises of the logistics cloud service platform. The seamless link characteristics of the IT system, through the logistics transaction module to realize the unified management of online demand and off-line demand, integrate loose logistics resources and distributed logistics orders to optimize the distribution of logistics resources. On the basis of literature research, this paper first penetrates the supply and demand status of Yiwu small commodity specialized market to the supply and demand of its supporting logistics. The main characteristics of small commodity distribution logistics are "small batch, short average life cycle, many kinds and high demand unpredictability". Then, this paper puts forward the construction framework of distributed logistics service cloud platform based on cloud computing technology based on the distribution characteristics of small commodities, and discusses cloud Ping from the demand of cloud users. The basic software and hardware requirements of the platform, the technical architecture, the service customization interaction process, the transmission mechanism and the transaction matching principle of the distributed logistics service, point out that the key technical problems of the logistics cloud platform are: (1) the problem of the virtualization of the logistics resources; (2) the problem of collaborative management between the logistics enterprises under the cloud environment. Based on the above research, In this paper, the horizontal and vertical coordination models and optimization methods of the same kind of logistics service providers in the logistics service cloud platform are deeply explored. As the main logistics channel of the small commodity distribution logistics, this paper takes the distributed international shipping service alliance in the cloud platform as an example to study the horizontal synergy model and the optimization side. According to the different trust degree of the cooperative members to the cloud service center, the cooperative members in the platform are divided into two categories: trust type and semi trust type. On this basis, the cooperative task and the integration scope of the cooperative resources are determined. The cooperative optimization model of the distribution of logistics resources based on trust is constructed, and the transportation is put forward. The genetic algorithm of fusion generation rules is used to solve the matching scheme of the highest overall profit of service cooperative network. Then, with the case of the related airline service synergy in the export trade of the small commodity market, the task is decomposed, optimized and reorganized from the perspective of transportation service capacity under the constraints of route and ship capacity. As an example of the distributed international shipping transportation problem on the east route, the collaborative model is verified, solved, and the results are compared and analyzed. The scope and limitations of the model are summarized and discussed, and the improvement direction of the model is put forward. Then, the longitudinal synergy model among the logistics service providers in the logistics service cloud platform is discussed in this paper. Based on the transaction environment of logistics cloud service platform, the optimization method of logistics service composition based on capacity complementation is proposed, which aims to select an integrated combination scheme from a large number of similar heterogeneous logistics service providers. This paper establishes a logistics service. The multi objective optimization model of Web service combination with the constraints of availability, reliability and reputation as a constraint and service time and service time is solved by the improved multiobjective optimization algorithm of particle swarm optimization. The method of calculating the ability complementarity of the participation members of the service composition is proposed, and the priority of complementarity is recommended by the complementarity coefficient. In order to improve the probability of long-term cooperation among enterprises with high complementarity, it promotes the resource integration and cooperation innovation of the logistics industry. Then, combining the functional framework of the distributed logistics service platform, architecture technology and cooperative management method, this paper studies the operation mode of cloud logistics service platform from the cloud business model mechanism, explores the distributed logistics service mode and its value-added mechanism under the cloud platform, and sums up the distribution and distribution in the cloud environment. In the end, this paper summarizes the main research results and the shortcomings of the research, and looks forward to the research problems to be solved in the future. In the full text, the main innovations of this paper are as follows: (1) the supply and demand characteristics of distributed logistics cloud services are summarized, and the framework of distributed logistics service cloud based on cloud computing is constructed. Structure, some logistics IT cloud services are integrated with logistics trading cloud services to achieve collaborative management of the internal requirements of the platform and the external requirements of the platform. The software and hardware configuration, the operation mechanism and the cooperative matching principle are deeply analyzed. Under the distributed logistics service cloud environment, the trust degree of the Collaborative Reference and members to the cooperative center is different, and the proposed objects are proposed. The trust based trust attribute classification method is used to establish a logistics service coordination model based on trust. 3. In the distributed logistics service cloud environment, a long-term cooperative partnership is established to promote the logistics service providers with high complementarity, and the method of calculating the complementarity coefficient between service providers is proposed. In order to improve the selection probability of the service combination scheme with high complementarity, the combination scheme of complementarity reduction method is recommended to improve the selection probability of the service combination scheme with high complementarity, thus promoting the integration and cooperative development of resources in the logistics industry. To solve the problem, a particle swarm optimization algorithm based on grid technology is proposed. The grid density of particles is calculated to make the Pareto solution as uniform as possible.

【學位授予單位】：浙江工商大學
【學位級別】：博士
【學位授予年份】：2016
【分類號】：F259.2
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本文編號：1824899