本文選題：云制造　切入點(diǎn)：資源服務(wù)　出處：《浙江大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：云制造是一種以公共服務(wù)平臺(tái)為支撐,基于設(shè)備、人力、知識(shí)、軟件、計(jì)算能力等資源,以“企業(yè)聚類”為特征、以“服務(wù)協(xié)同”為主題,根據(jù)用戶需求,通過服務(wù)封裝、任務(wù)構(gòu)建,實(shí)現(xiàn)用戶之間資源服務(wù)調(diào)用的制造新模式。為了實(shí)現(xiàn)中小企業(yè)制造資源利用率最大化,本文分析了一種典型云制造模式的資源服務(wù)、項(xiàng)目任務(wù)的特點(diǎn),構(gòu)建了以交貨期、成本、質(zhì)量為目標(biāo)的任務(wù)-服務(wù)調(diào)度優(yōu)化模型,設(shè)計(jì)了基于改進(jìn)遺傳算法的求解方法,然后結(jié)合云制造模式下模具制造的調(diào)度示例,完整論述了資源服務(wù)調(diào)度平臺(tái)的實(shí)踐及其意義,具體的研究內(nèi)容如下：第一章緒論。主要論述了論文的研究背景和意義,給出了一種典型的云制造模式,分析了云制造模式下資源調(diào)度與傳統(tǒng)車間調(diào)度的異同,介紹了相關(guān)領(lǐng)域國內(nèi)外的研究現(xiàn)狀,最后給出了論文的主要研究內(nèi)容和章節(jié)安排。第二章云資源服務(wù)調(diào)度運(yùn)營模式。從云制造環(huán)境下資源服務(wù)的特點(diǎn)、分類以及項(xiàng)目任務(wù)分解切入,闡述了云制造模式下云資源服務(wù)優(yōu)化調(diào)度的運(yùn)行機(jī)制以及相關(guān)業(yè)務(wù)流程。第三章云資源服務(wù)調(diào)度優(yōu)化模型。通過對(duì)云制造模式下,資源服務(wù)組合封裝,服務(wù)、任務(wù)的形式化描述,結(jié)合模具生產(chǎn)項(xiàng)目示例,給出了云制造模式下,以交貨期、總成本和質(zhì)量為目標(biāo)的調(diào)度優(yōu)化模型。第四章云資源服務(wù)調(diào)度優(yōu)化遺傳算法設(shè)計(jì)與實(shí)現(xiàn)。針對(duì)調(diào)度優(yōu)化模型,設(shè)計(jì)相關(guān)改進(jìn)遺傳算法流程,選用雙鏈編碼方式,設(shè)計(jì)了分階段子任務(wù)鏈編碼方式,多種交叉變異方式配套使用的遺傳操作方案,基于隨機(jī)聯(lián)賽選擇和改進(jìn)精英保留策略的選擇策略以及考慮物流信息和任務(wù)約束的主動(dòng)解碼方式,最后,用VB語言實(shí)現(xiàn)了云資源服務(wù)的調(diào)度系統(tǒng)。第五章云資源服務(wù)優(yōu)化調(diào)度系統(tǒng)示例運(yùn)行。介紹了云制造平臺(tái)中,項(xiàng)目任務(wù)構(gòu)建,候選服務(wù)選擇確定,調(diào)度數(shù)據(jù)獲取流程,給出了云制造平臺(tái)資源服務(wù)調(diào)度系統(tǒng)示例模型的求解過程,最后將調(diào)度結(jié)果反饋到平臺(tái),用以支持決策。第六章總結(jié)與展望。對(duì)論文的相關(guān)研究工作和成果進(jìn)行總結(jié),并指出了在云制造環(huán)境下資源調(diào)度方面需要進(jìn)一步研究的方向。
[Abstract]:Cloud manufacturing is a kind of public service platform, based on equipment, manpower, knowledge, software, computing power and other resources, characterized by "enterprise clustering", "service collaboration" as the theme, according to the needs of users, through service encapsulation. In order to maximize the utilization rate of manufacturing resources in small and medium-sized enterprises, this paper analyzes the characteristics of a typical cloud manufacturing model, resource service and project task. A task-service scheduling optimization model aiming at delivery time, cost and quality is constructed, and a solution method based on improved genetic algorithm is designed. Then, an example of die manufacturing scheduling in cloud manufacturing mode is presented. This paper discusses the practice and significance of resource and service scheduling platform. The specific research contents are as follows: the first chapter introduces the background and significance of this paper, and gives a typical cloud manufacturing model. This paper analyzes the similarities and differences between resource scheduling and traditional job shop scheduling in cloud manufacturing mode, and introduces the research status of related fields at home and abroad. Finally, the main research content and chapter arrangement of the thesis are given. The second chapter is the operation mode of cloud resource service scheduling. From the characteristics, classification and project task decomposition of resource services in cloud manufacturing environment, This paper expounds the operation mechanism and related business processes of cloud resource service optimization scheduling in cloud manufacturing mode. The third chapter is cloud resource service scheduling optimization model. The formal description of the task, combined with the mold production project example, gives the cloud manufacturing model, in order to due, Total cost and quality as the goal of scheduling optimization model. 4th chapter cloud resource service scheduling optimization genetic algorithm design and implementation. For scheduling optimization model, design related improved genetic algorithm flow, choose double chain coding, In this paper, the coding method of sub-task chain is designed, and the genetic operation scheme is designed, which is used in many cross mutation modes. Based on the random league selection and improvement of elite retention strategy, and considering the logistics information and task constraints of the active decoding method, finally, In this paper, the scheduling system of cloud resource service is implemented with VB language. 5th examples of cloud resource service optimization scheduling system are implemented. The project task construction, candidate service selection and scheduling data acquisition process in cloud manufacturing platform are introduced. The solution process of an example model of resource and service scheduling system for cloud manufacturing platform is given. Finally, the scheduling results are fed back to the platform to support decision-making. Chapter 6th summarizes and prospects. It also points out the direction of further research on resource scheduling in cloud manufacturing environment.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：F424

【共引文獻(xiàn)】

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