發(fā)布時間：2018-09-11 16:49

【摘要】：滿足用戶的個性化需求是現(xiàn)代制造企業(yè)面臨的主要挑戰(zhàn),也是它們追求的重要目標(biāo)。然而,傳統(tǒng)網(wǎng)絡(luò)化制造模式側(cè)重于制造企業(yè)之間針對特定記產(chǎn)品或項目的業(yè)務(wù)協(xié)同,在滿足用戶個性化需求方面存在局限性。新興網(wǎng)絡(luò)化制造模式—云制造,融合了現(xiàn)代信息技術(shù)和傳統(tǒng)制造技術(shù),在滿足用戶的個性化需求、實現(xiàn)制造資源與服務(wù)的完全共享和優(yōu)化配置方面具有明顯的優(yōu)勢。本論文圍繞用戶個性化需求,研究云制造模式下制造服務(wù)的匹配與組合優(yōu)化問題,具有重要的理論意義和應(yīng)用價值。主要的研究內(nèi)容包括:構(gòu)建了面向用戶個性化需求的云制造服務(wù)配置框架。針對用戶的個性化需求,采用云制造服務(wù)相似度進(jìn)行形式化表示。引入層次分析法、K-means聚類算法和變精度粗糙集,綜合評價云制造服務(wù)相似度,量化用戶的個性化需求。將云制造服務(wù)相似度擴(kuò)展到云制造服務(wù)描述模型中,充分體現(xiàn)用戶的個性化需求。設(shè)計了面向用戶個性化需求的云制造服務(wù)匹配算法�；赒oS屬性相似度,提出了云制造服務(wù)匹配算法和面向用戶個性化需求的云制造服務(wù)保留算法。精選并修正候選云制造服務(wù)集合,降低了組合優(yōu)化過程解空間,提高了組合效率,在保證用戶高效獲取并使用云制造服務(wù)的同時,將最接近用戶期望的云制造服務(wù)提供給用戶。建立了面向用戶個性化需求的云制造服務(wù)組合優(yōu)化模型并求解。在分析云制造服務(wù)組合優(yōu)化過程的基礎(chǔ)上,構(gòu)建了面向用戶個性化需求的云制造服務(wù)組合優(yōu)化模型。采用矩陣整數(shù)編碼和塊交叉策略對遺傳算法進(jìn)行改進(jìn),并將其用于云制造服務(wù)組合優(yōu)化模型求解。通過云制造服務(wù)相似度改變?nèi)旧w適應(yīng)度值,驗證模型和算法的合理性和有效性。設(shè)計并實現(xiàn)了面向用用戶個性化需求的云制造服務(wù)配置原型系統(tǒng)。對系統(tǒng)整體框架和功能模塊進(jìn)行了分析,利用支持C#編程語言的Visual Studio開發(fā)水平臺以及SQL Server數(shù)據(jù)庫,設(shè)計并開發(fā)了面向用戶個性化需求的云制造服務(wù)配置原型系統(tǒng),驗證了本論文所研究模型和方法的可行性。
[Abstract]:To meet the individual needs of users is the main challenge faced by modern manufacturing enterprises, and it is also an important goal that they pursue. However, the traditional networked manufacturing model focuses on the business collaboration between manufacturing enterprises for specific products or projects, which has limitations in meeting the individual needs of users. Cloud manufacturing, a new networked manufacturing model, combines modern information technology with traditional manufacturing technology. It has obvious advantages in satisfying the individual needs of users, realizing the complete sharing of manufacturing resources and services and optimizing the configuration of manufacturing resources and services. This paper focuses on the personalized requirements of users, and studies the matching and composition optimization of manufacturing services in cloud manufacturing mode, which has important theoretical significance and application value. The main research contents are as follows: the configuration framework of cloud manufacturing service is constructed. According to the personalized requirements of users, the similarity of cloud manufacturing services is formalized. The K-means clustering algorithm and variable precision rough set are introduced to evaluate the similarity of cloud manufacturing services and to quantify the personalized requirements of users. The similarity of cloud manufacturing services is extended to the cloud manufacturing service description model to fully reflect the personalized needs of users. A cloud manufacturing service matching algorithm is designed for user personalized requirements. Based on the similarity of QoS attributes, a cloud manufacturing service matching algorithm and a cloud manufacturing service retention algorithm are proposed. The set of candidate cloud manufacturing services is selected and corrected, which reduces the solution space of composition optimization process and improves the composition efficiency. The cloud manufacturing service that is closest to the user's expectation is provided to the user at the same time as the user can obtain and use the cloud manufacturing service efficiently. A cloud manufacturing service composition optimization model for personalized user requirements is established and solved. Based on the analysis of the optimization process of cloud manufacturing service composition, a cloud manufacturing service composition optimization model is constructed to meet the needs of users. The genetic algorithm is improved by matrix integer coding and block crossover strategy, and it is used to solve the optimization model of cloud manufacturing service composition. The validity and rationality of the model and algorithm are verified by changing the chromosome fitness by cloud manufacturing service similarity. A prototype system of cloud manufacturing service configuration is designed and implemented. The whole frame and function module of the system are analyzed. The prototype system of cloud manufacturing service configuration is designed and developed based on Visual Studio platform and SQL Server database, which supports C # programming language. The feasibility of the model and method studied in this paper is verified.
【學(xué)位授予單位】：西安理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP393.09

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本文編號：2237270