本文關(guān)鍵詞：智能化倉(cāng)儲(chǔ)作業(yè)系統(tǒng)關(guān)鍵技術(shù)研究　出處：《東華大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 智能化倉(cāng)儲(chǔ) 電子標(biāo)簽揀選庫(kù) 自動(dòng)化立體庫(kù) 二進(jìn)制粒群算法 遺傳算法

【摘要】：隨著當(dāng)代社會(huì)經(jīng)濟(jì)、科學(xué)技術(shù)、電子商務(wù)、智能化技術(shù)的發(fā)展,倉(cāng)儲(chǔ)管理及作業(yè)也在不斷引進(jìn)智能化設(shè)備,智能化倉(cāng)儲(chǔ)作業(yè)應(yīng)運(yùn)而生。倉(cāng)儲(chǔ)作業(yè)是指從商品入庫(kù)到商品發(fā)送出庫(kù)的整個(gè)過程,可歸納為在庫(kù)管理、出入庫(kù)作業(yè)等。而在整個(gè)過程中揀貨作業(yè)所占用的成本最高、耗時(shí)最多,其效率與準(zhǔn)確性都對(duì)公司的服務(wù)品質(zhì)有極大的影響。而電子標(biāo)簽揀貨系統(tǒng)具有彈性控制作業(yè)時(shí)間與即時(shí)現(xiàn)場(chǎng)控制等特點(diǎn),自動(dòng)化立體庫(kù)系統(tǒng)具有節(jié)省勞動(dòng)力,作業(yè)迅速準(zhǔn)確,提高保管效率與降低物流費(fèi)用等優(yōu)越性。因此電子標(biāo)簽揀選系統(tǒng)和自動(dòng)化立體庫(kù)系統(tǒng)應(yīng)用越來(lái)越廣泛。但是現(xiàn)代倉(cāng)儲(chǔ)管理對(duì)信息化、服務(wù)綜合化、自動(dòng)化、智能化提出越來(lái)越高的要求,例如:出入庫(kù)作業(yè)的動(dòng)態(tài)優(yōu)化;優(yōu)化模型對(duì)不同庫(kù)型的適應(yīng);與企業(yè)現(xiàn)有ERP系統(tǒng)數(shù)據(jù)的集成,實(shí)現(xiàn)資源的優(yōu)化配置;借助計(jì)算機(jī)網(wǎng)絡(luò)技術(shù)實(shí)現(xiàn)倉(cāng)庫(kù)的信息化管理,避免信息孤島現(xiàn)象的出現(xiàn)。然而,現(xiàn)有的倉(cāng)儲(chǔ)管理與控制系統(tǒng)在擴(kuò)展性、可集成性以及可維護(hù)性等方面仍需進(jìn)一步研究與開發(fā)。本文緊密結(jié)合現(xiàn)代倉(cāng)儲(chǔ)管理的發(fā)展,主要面向自動(dòng)化立體庫(kù)與電子標(biāo)簽揀選庫(kù)開展了智能化倉(cāng)儲(chǔ)作業(yè)關(guān)鍵技術(shù)研究。主要研究工作如下:(1)設(shè)計(jì)了面向服務(wù)的智能化倉(cāng)儲(chǔ)作業(yè)系統(tǒng)架構(gòu)為了滿足智能化倉(cāng)儲(chǔ)作業(yè)需求,設(shè)計(jì)了一種基于soa(service-orientedarchitecture)的倉(cāng)儲(chǔ)管理與控制系統(tǒng)架構(gòu),將主要功能封裝為可重用的倉(cāng)儲(chǔ)作業(yè)監(jiān)控服務(wù)、庫(kù)存貨品查詢服務(wù)、倉(cāng)儲(chǔ)設(shè)備控制服務(wù)、倉(cāng)儲(chǔ)管理服務(wù)以及倉(cāng)儲(chǔ)作業(yè)智能優(yōu)化服務(wù)。通過松耦合的服務(wù)架構(gòu)使得系統(tǒng)可以靈活地支持不同庫(kù)型、不同操作系統(tǒng)以及不同倉(cāng)儲(chǔ)業(yè)務(wù)的重構(gòu)。(2)面向自動(dòng)化立體庫(kù)與電子標(biāo)簽揀選庫(kù)的倉(cāng)儲(chǔ)作業(yè)及貨位優(yōu)化在操作批量訂單的情況下,針對(duì)自動(dòng)化立體庫(kù)(automatedstorageandretrievalsystem,as/rs)巷道作業(yè)存在不均衡情況,提出了以堆垛機(jī)作業(yè)均衡與高倉(cāng)儲(chǔ)效率為目標(biāo)的立體庫(kù)貨位優(yōu)化模型;針對(duì)電子標(biāo)簽揀選庫(kù)(picktolightsystem,ptl)存在貨位閑置或每次都被選中的情況,提出了以訂單完成度、貨位占有率以及貨位聚集度為目標(biāo)的揀選作業(yè)優(yōu)化模型。設(shè)計(jì)了基于二進(jìn)制粒群(binaryparticleswarmoptimization,bpso)和遺傳進(jìn)化(geneticalgorithm,ga)等仿生算法,并對(duì)模型進(jìn)行了求解。分別通過as/rs與ptl作業(yè)實(shí)例,驗(yàn)證了所提模型及算法的有效性。(3)面向智能化倉(cāng)儲(chǔ)作業(yè)的服務(wù)組件設(shè)計(jì)基于面向服務(wù)的系統(tǒng)架構(gòu)、倉(cāng)儲(chǔ)管控系統(tǒng)關(guān)系數(shù)據(jù)庫(kù)模型、倉(cāng)儲(chǔ)作業(yè)設(shè)備通信組件,將倉(cāng)儲(chǔ)優(yōu)化模型以及仿生算法,封裝為支持智能化倉(cāng)儲(chǔ)作業(yè)的服務(wù)組件,并集成到實(shí)際應(yīng)用的倉(cāng)儲(chǔ)作業(yè)系統(tǒng)中。有效的解決不同庫(kù)型、不同批量訂單的倉(cāng)儲(chǔ)作業(yè)優(yōu)化任務(wù)。(4)智能化倉(cāng)儲(chǔ)作業(yè)系統(tǒng)的研制與應(yīng)用研制了基于Web的智能化倉(cāng)儲(chǔ)作業(yè)系統(tǒng),通過MVC模式(Model View Controller)來(lái)實(shí)現(xiàn)SOA。系統(tǒng)針對(duì)PTL與AS/RS實(shí)現(xiàn)了智能化分配貨位,滿足了靈活應(yīng)對(duì)實(shí)際揀選作業(yè)的需求,并在企業(yè)中得到了驗(yàn)證,取得了良好效果。
[Abstract]:With the development of modern social economy, science and technology, electronic commerce, intelligent technology development, warehouse management and operation has been the introduction of intelligent equipment, intelligent warehousing operations emerged. Warehouse operation refers to the whole process from the storage of goods to send out the goods, can be grouped into warehouse management, warehousing and so on. Occupied in the whole process of picking the highest cost, the most time-consuming, its efficiency and accuracy has a great impact on the company's service quality. And the electronic label picking system with elastic control operation time and real-time control, automatic warehouse system has the advantages of saving labor, rapid and accurate operation, improve storage efficiency with the advantages of reducing logistics cost. So the electronic label picking system and automatic warehouse system used more and more widely. But the modern warehouse management of informatization, comprehensive service Of automation, intelligent, put forward higher requirements, such as: dynamic optimization of warehouse; optimization model to adapt to different types of library; integration with existing enterprise ERP system data, optimize the allocation of resources; realize information management of warehouse by means of computer network technology, to avoid the phenomenon of information island. However, the existing warehouse management and control system in scalability, integration and maintainability aspects still need further research and development. Combining with the development of modern warehouse management, mainly for the automated three-dimensional database and electronic tag picking base carried on the key technology of intelligent warehouse. The main research work is as follows: (1) the design of service oriented intelligent warehouse system architecture in order to meet the demand of intelligent warehousing operations, based on the design of a SOA (Service-OrientedArchitecture) of the warehouse Storage management and control system architecture, main function of the package for the warehouse operation monitoring service reuse, inventory of goods inquiry service, warehousing equipment control services, warehousing management services and warehousing services. Through the intelligent optimization of loosely coupled services architecture makes the system can flexibly support different reservoir type, different operating system and reconstruction of different storage business. (2) warehousing and storage location optimization in operation orders under the condition for automated warehouse and electronic tag picking base, aiming at automated three-dimensional database (automatedstorageandretrievalsystem, as/rs) tunnel operation is not balanced, the warehouse space optimization model to the stacker operation balance and high storage efficiency as the goal; according to the electronic tag picking base (picktolightsystem, PTL) are idle or location every time is selected, put forward to order The degree of completion, the order picking optimization model for location share and location aggregation as the goal. The design is based on the binary particle swarm (binaryparticleswarmoptimization, BPSO) and genetic evolution (geneticalgorithm, GA) of bionic algorithm, and the model was solved by as/rs and PTL respectively. The field example shows that the proposed model is effective and the algorithm. (3) for intelligent warehouse service component design system architecture based on service oriented warehouse management system relational database model, warehousing equipment communication components, storage optimization model and algorithm, package for the service components supporting the intelligent warehouse, and integrated into the warehousing operation system application. Solve the different reservoir type, the warehouse operation optimization tasks in different orders. (4) the development and application of intelligent warehouse system based on Web The intelligent warehouse system, through the MVC model (Model View Controller) to realize the SOA. system based on PTL and AS/RS to achieve the intelligent distribution of goods, to meet the actual demand of flexible picking, and has been verified in the enterprise, and achieved good results.

【學(xué)位授予單位】：東華大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP311.52;TP18

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