本文選題：SaaS + 物流園區(qū)��； 參考：《武漢理工大學(xué)》2015年碩士論文

【摘要】：物流業(yè)是國民經(jīng)濟的基礎(chǔ)產(chǎn)業(yè),象征著一個國家的現(xiàn)代化發(fā)展水平,是綜合國力的重要表現(xiàn)形式。而物流園區(qū)作為物流產(chǎn)業(yè)的聚集地,是現(xiàn)代物流體系中的重要節(jié)點,其信息化水平關(guān)系到園區(qū)本身經(jīng)濟效益的發(fā)揮和市場競爭力的提高。目前我國物流園區(qū)內(nèi)的企業(yè)大多有著自己的信息管理系統(tǒng),彼此之間缺乏聯(lián)系和交互,形成了一個個“信息孤島”,無法實現(xiàn)園區(qū)物流資源的信息共享和優(yōu)化配置。在這樣的大環(huán)境和實際需求下,本文引入了軟件即服務(wù)的思想,對園區(qū)物流資源撮合平臺的整體方案進行了研究,在此基礎(chǔ)上設(shè)計并實現(xiàn)了一個基于SaaS service a as software)(的園區(qū)物流資源撮合平臺。本文首先對SaaS的相關(guān)理論和平臺的功能需求進行了分析,并以此為基礎(chǔ)對平臺的整體方案進行了設(shè)計,平臺主要由兩大部分組成:軟件服務(wù)租賃平臺和園區(qū)物流資源撮合系統(tǒng)。軟件服務(wù)租賃平臺主要實現(xiàn)物流資源撮合系統(tǒng)的按需租賃,園區(qū)物流資源撮合系統(tǒng)主要實現(xiàn)物流資源的撮合與共享。為了實現(xiàn)系統(tǒng)的撮合功能,本文研究了組合優(yōu)化問題的解決方法,并歸納出貨物資源與運力資源撮合的數(shù)學(xué)模型,設(shè)計了一種基于遺傳算法的園區(qū)物流資源撮合方法,同時對算法的實現(xiàn)過程和結(jié)果進行了闡述與驗證。針對算法在撮合過程中存在的問題進行了改進,并將本文的改進算法與常見改進算法在撮合效果和時間效率兩個方面進行了對比,驗證了改進的有效性。由于撮合功能的撮合過程需要使用物流企業(yè)的信用評價結(jié)果,所以本文提出了一種基于模糊綜合評價法和層次分析法的園區(qū)物流企業(yè)信用評價模型。首先結(jié)合物流園區(qū)的背景以及企業(yè)信用指標的選取原則,確定信用評價的指標集,然后通過層次分析法計算它們各自的權(quán)重,最后通過模糊綜合評價法計算物流企業(yè)綜合得分并完成評級。通過以上理論及分析,最后使用了SQL Server 2008數(shù)據(jù)庫和ASP.NET技術(shù)實現(xiàn)了基于SaaS的園區(qū)物流資源撮合平臺。
[Abstract]:Logistics industry is the basic industry of national economy, symbolizes a country's modernization development level, is the important manifestation of comprehensive national strength. As the gathering place of logistics industry, logistics park is an important node in modern logistics system. Its informatization level is related to the exertion of economic benefits and the improvement of market competitiveness. At present, most of the enterprises in the logistics park in our country have their own information management system, lack of contact and interaction between each other, forming a "isolated information island", which can not realize the sharing of information and the optimal allocation of logistics resources in the park. In such a big environment and actual demand, this paper introduces the idea of software as a service, and studies the overall plan of the logistics resource matching platform in the park. On this basis, we design and implement a logistics resource matching platform based on SaaS service a as software. In this paper, the related theories of SaaS and the functional requirements of the platform are analyzed, and the overall scheme of the platform is designed. The platform is mainly composed of two parts: the software service leasing platform and the park logistics resource matching system. The software service leasing platform mainly realizes the on-demand lease of logistics resource matching system, and the park logistics resource matching system mainly realizes the matching and sharing of logistics resources. In order to realize the matching function of the system, this paper studies the solution to the combinatorial optimization problem, sums up the mathematical model of the matching of cargo resources and transportation resources, and designs a genetic algorithm based matching method for park logistics resources. At the same time, the implementation process and results of the algorithm are described and verified. The problems existing in the matching process are improved, and the effectiveness of the improved algorithm is verified by comparing the improved algorithm with the common improved algorithm in matching effect and time efficiency. As the matching process of matchmaking function needs to use the credit evaluation results of logistics enterprises, this paper presents a credit evaluation model of logistics enterprises in parks based on fuzzy comprehensive evaluation and AHP. Firstly, combining the background of logistics park and the selection principle of enterprise credit index, the index set of credit evaluation is determined, and then their respective weights are calculated by analytic hierarchy process (AHP). Finally, the fuzzy comprehensive evaluation method is used to calculate the comprehensive score of logistics enterprises and complete the rating. Through the above theory and analysis, SQL Server 2008 database and ASP.NET technology are used to realize the park logistics resource matchmaking platform based on SaaS.
【學(xué)位授予單位】：武漢理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：F259.2;TP18

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