本文關(guān)鍵詞：基于物聯(lián)網(wǎng)的鐵路物流中心集裝箱功能區(qū)裝卸資源調(diào)度優(yōu)化研究　出處：《北京交通大學》2017年碩士論文　論文類型：學位論文

  更多相關(guān)文章： 鐵路物流中心 物聯(lián)網(wǎng) 資源調(diào)度 集裝箱功能區(qū) 微進化算法

【摘要】：近幾年,共享經(jīng)濟的熱潮為我國的物流行業(yè)帶來了新的發(fā)展思路,誕生了大批物流信息共享平臺。物聯(lián)網(wǎng)技術(shù)的廣泛應(yīng)用則為信息共享平臺智能化水平的提高帶來了新的發(fā)展生機。在物流行業(yè)不斷創(chuàng)新發(fā)展和鐵路貨運改革初見成效的大背景下,鐵路貨運需要緊跟改革創(chuàng)新潮流,取長補短,拓寬經(jīng)營思路,與社會物流企業(yè)或個人建立長期有效的合作關(guān)系,利用社會物流資源完善末端運輸網(wǎng)絡(luò),真正實現(xiàn)“門到門”運輸。而良好的合作關(guān)系則依賴于有效的信任機制及良好的服務(wù)質(zhì)量,反映在運輸過程中就是貨卡司機準時到達指定地點,并在期望完成時間內(nèi)完成貨物裝卸作業(yè)。這就對鐵路物流中心內(nèi)部的裝卸資源調(diào)度提出了更高的要求。本文以物聯(lián)網(wǎng)技術(shù)和物流信息共享平臺的應(yīng)用為背景,將現(xiàn)代數(shù)學方法、系統(tǒng)化思想等理論引入到鐵路物流中心的裝卸資源調(diào)度優(yōu)化研究中,主要研究內(nèi)容包括以下部分:1.詳細介紹了物聯(lián)網(wǎng)技術(shù)在鐵路物流中心的應(yīng)用方式及物流信息共享平臺的建設(shè)意義,指明了建設(shè)基于物聯(lián)網(wǎng)的鐵路物流信息共享平臺的目標。2.明確現(xiàn)代鐵路物流中心的概念、分析現(xiàn)代鐵路物流中心的特征以及未來的發(fā)展趨勢,以集裝箱功能區(qū)為例,詳細闡述了其整體布局、作業(yè)流程及資源分類。3.以鐵路物流中心走向市場為出發(fā)點,綜合考慮外集卡司機的滿意度和鐵路物流中心內(nèi)部裝卸資源的作業(yè)效率,選取集裝箱功能區(qū)為研究對象,以外集卡平均延誤時間最短和軌道門吊最大作業(yè)時間最小為目標,以列車到發(fā)時刻、外集卡進場時刻及期望離場時刻等信息為依據(jù)設(shè)置集裝箱作業(yè)任務(wù)的時間窗,并考慮門吊安全作業(yè)距離及門吊間不能相互跨越等約束,建立基于物聯(lián)網(wǎng)平臺下的裝卸資源調(diào)度多目標優(yōu)化模型。4.設(shè)計了基于優(yōu)勢基因結(jié)構(gòu)進化的微進化算法對模型進行求解,該算法能夠有效地適應(yīng)環(huán)境的不確定性,更好地求解物聯(lián)網(wǎng)平臺下的動態(tài)資源調(diào)度問題。5.最后以西安新筑鐵路物流中心為案例背景,對本文構(gòu)建的基于物聯(lián)網(wǎng)的裝卸調(diào)度模型及算法進行了驗證,為物聯(lián)網(wǎng)環(huán)境下鐵路物流中心的裝卸資源調(diào)度提供了有價值的參考。
[Abstract]:In recent years, the boom of sharing economy has brought new development ideas for the logistics industry of our country. A large number of logistics information sharing platform was born, and the wide application of Internet of things technology brought new development vitality to the improvement of intelligence level of information sharing platform. Against the backdrop of effectiveness. Railway freight transport needs to follow the trend of reform and innovation, learn from each other, broaden management ideas, establish long-term and effective cooperative relationship with social logistics enterprises or individuals, and use social logistics resources to improve the terminal transport network. The real realization of door-to-door transportation. A good cooperative relationship depends on effective trust mechanism and good service quality, which reflects that the cargo card driver arrives at the designated place on time in the process of transportation. And in the expected time to complete cargo loading and unloading operations, which put forward a higher demand for the internal loading and unloading resource scheduling in the railway logistics center. This paper takes the Internet of things technology and the application of logistics information sharing platform as the background. The theory of modern mathematical method and systematization is introduced into the optimization research of loading and unloading resources scheduling in railway logistics center. The main research contents include the following parts: 1. The application of Internet of things technology in railway logistics center and the significance of logistics information sharing platform are introduced in detail. This paper points out the goal of constructing railway logistics information sharing platform based on the Internet of things. It clarifies the concept of modern railway logistics center, analyzes the characteristics of modern railway logistics center and the future development trend. Taking the container function area as an example, the paper elaborates its overall layout, operation process and resource classification. 3. Take the railway logistics center as the starting point to move towards the market. Considering the satisfaction of external card drivers and the efficiency of loading and unloading resources in the railway logistics center, the container function area is selected as the research object. The minimum average delay time of the external card and the minimum maximum operating time of the track gantry crane are the targets, taking the train arrival and departure time as the target. The time window of container operation task is set up according to the information such as entry time and expected departure time, and the constraints such as safe working distance of gantry crane and not crossing each other between portal cranes are taken into account. A multi-objective optimization model of loading and unloading resource scheduling based on the Internet of things platform is established. A micro-evolutionary algorithm based on the evolution of dominant gene structure is designed to solve the model. The algorithm can effectively adapt to the uncertainty of the environment, better solve the dynamic resource scheduling problem under the Internet of things platform. Finally, taking Xi'an new railway logistics center as the case background. The model and algorithm of loading and unloading scheduling based on the Internet of things are verified in this paper, which provides a valuable reference for the dispatching of loading and unloading resources of railway logistics center under the environment of the Internet of things.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：U291.5

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