本文選題：物聯(lián)網(wǎng)　切入點(diǎn)：電網(wǎng)物流　出處：《華北電力大學(xué)(北京)》2017年碩士論文

【摘要】：近年來(lái),隨著智能電網(wǎng)的飛速發(fā)展與不斷趨于成熟,對(duì)于電網(wǎng)企業(yè)物流業(yè)務(wù)也提出了更高的要求。建設(shè)堅(jiān)強(qiáng)智能電網(wǎng)作為現(xiàn)階段電網(wǎng)企業(yè)的首要目標(biāo),電網(wǎng)企業(yè)物流水平面臨著嶄新的挑戰(zhàn),從而使得電網(wǎng)企業(yè)的良好運(yùn)行與精益化管理得以保障與實(shí)現(xiàn)。因此,如何進(jìn)行風(fēng)險(xiǎn)預(yù)警并且及時(shí)作出相應(yīng)的風(fēng)險(xiǎn)規(guī)避決策成為目前電網(wǎng)企業(yè)在物流風(fēng)險(xiǎn)管理方面一個(gè)重要的課題。本論文針對(duì)我國(guó)電網(wǎng)企業(yè)物流預(yù)警作出了比較深入的研究分析,首先詳細(xì)闡述了物流風(fēng)險(xiǎn)預(yù)警的研究背景,分析了在該領(lǐng)域中國(guó)內(nèi)外相關(guān)研究現(xiàn)狀,對(duì)于基于物聯(lián)網(wǎng)的電網(wǎng)企業(yè)物流風(fēng)險(xiǎn)預(yù)警及信息系統(tǒng)研究的內(nèi)容以及思路框架進(jìn)行了梳理。其次,論文對(duì)物聯(lián)網(wǎng)的體系架構(gòu)作出了相對(duì)全面的介紹與分析,對(duì)物流風(fēng)險(xiǎn)的相關(guān)理論和知識(shí)內(nèi)容進(jìn)行了詳細(xì)闡述,初步設(shè)計(jì)了基于物聯(lián)網(wǎng)的電網(wǎng)企業(yè)物流風(fēng)險(xiǎn)預(yù)警體系框架,奠定了整個(gè)課題的理論研究基礎(chǔ)。然后,建立了基于物聯(lián)網(wǎng)的電網(wǎng)企業(yè)物流風(fēng)險(xiǎn)評(píng)價(jià)體系,并運(yùn)用改進(jìn)后的DAGF評(píng)價(jià)模型對(duì)電網(wǎng)企業(yè)物流風(fēng)險(xiǎn)進(jìn)行評(píng)價(jià),并且建立了基于物聯(lián)網(wǎng)的電網(wǎng)企業(yè)物流風(fēng)險(xiǎn)預(yù)警體系,設(shè)計(jì)了物理層面的實(shí)現(xiàn)。最后,是對(duì)于電網(wǎng)企業(yè)物流風(fēng)險(xiǎn)預(yù)警信息系統(tǒng)的系統(tǒng)分析與設(shè)計(jì)部分,詳細(xì)分析了系統(tǒng)的可行性、需求、業(yè)務(wù)流程和數(shù)據(jù)流程,并以此為依據(jù)進(jìn)行了詳細(xì)設(shè)計(jì),詳細(xì)設(shè)計(jì)包括功能設(shè)計(jì)、數(shù)據(jù)庫(kù)設(shè)計(jì)、系統(tǒng)結(jié)構(gòu)設(shè)計(jì)和代碼設(shè)計(jì),以期對(duì)電網(wǎng)企業(yè)物流風(fēng)險(xiǎn)預(yù)警提供相應(yīng)的借鑒。本論文通過(guò)對(duì)于最新的物聯(lián)網(wǎng)技術(shù)的應(yīng)用,進(jìn)行了以科學(xué)為前提的、智能的基于物聯(lián)網(wǎng)的電網(wǎng)企業(yè)物流風(fēng)險(xiǎn)預(yù)警體系的構(gòu)建以及對(duì)其信息系統(tǒng)進(jìn)行了設(shè)計(jì),以保證電網(wǎng)企業(yè)物流作業(yè)有效的運(yùn)行以及精益化的管理,而本論文的研究為降低物流風(fēng)險(xiǎn)的同時(shí)提高物流運(yùn)行效率提供了可能。希望在本論文中所得出的研究成果,能夠?yàn)槲覈?guó)電網(wǎng)企業(yè)物流業(yè)務(wù)的實(shí)際操作過(guò)程提供一定的參考。
[Abstract]:In recent years, with the rapid development and maturation of smart grid, the logistics business of power grid enterprises has put forward higher requirements.Building a strong smart grid is the primary goal of power grid enterprises at the present stage. The logistics level of power grid enterprises is facing new challenges, so that the good operation and lean management of power grid enterprises can be guaranteed and realized.Therefore, how to make the risk early warning and make the corresponding risk aversion decision in time has become an important subject in logistics risk management of power grid enterprises.This paper makes a deep research and analysis on logistics early warning of power grid enterprises in China. Firstly, the research background of logistics risk early warning is described in detail, and the current situation of research on logistics risk early warning in this field is analyzed.The contents and framework of logistics risk early warning and information system of power grid enterprises based on Internet of things are combed out.Secondly, the paper makes a relatively comprehensive introduction and analysis of the architecture of the Internet of things, expounds the related theory and knowledge content of logistics risk in detail, and preliminarily designs the early warning system framework of logistics risk for power grid enterprises based on the Internet of things.It lays the foundation for the theoretical research of the whole subject.Then, the logistics risk evaluation system based on the Internet of things is established, and the logistics risk evaluation system of the power grid enterprise is established by using the improved DAGF evaluation model, and the logistics risk early warning system based on the Internet of things is established.The realization of physical level is designed.Finally, for the system analysis and design of logistics risk early warning information system of power grid enterprise, the feasibility, requirement, business process and data flow of the system are analyzed in detail, and based on this, the detailed design is carried out.The detailed design includes function design, database design, system structure design and code design.Through the application of the latest Internet of things technology, this paper constructs the intelligent logistics risk early warning system based on the Internet of things and designs its information system.In order to ensure the effective operation of logistics operations and lean management of power grid enterprises, the research in this paper provides the possibility to reduce the risk of logistics and improve the efficiency of logistics operation.It is hoped that the research results obtained in this paper can provide a certain reference for the actual operation process of logistics business of power grid enterprises in China.
【學(xué)位授予單位】：華北電力大學(xué)(北京)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F49;F426.61;F252

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 馮寬;;風(fēng)險(xiǎn)評(píng)估在企業(yè)采購(gòu)業(yè)務(wù)中的應(yīng)用[J];會(huì)計(jì)之友;2015年12期

2 劉永勝;原文濤;;企業(yè)物流風(fēng)險(xiǎn)預(yù)警[J];企業(yè)管理;2013年06期

3 楊明;李九斤;;企業(yè)物流外包過(guò)程中風(fēng)險(xiǎn)分析及防范[J];物流科技;2013年06期

4 項(xiàng)麗;;企業(yè)物流外包風(fēng)險(xiǎn)評(píng)價(jià)和控制——基于AHP-模糊綜合評(píng)價(jià)方法的視角[J];企業(yè)經(jīng)濟(jì);2013年04期

5 劉永勝;;北京地區(qū)制造業(yè)上市公司物流風(fēng)險(xiǎn)預(yù)警——基于主成分分析方法[J];中國(guó)流通經(jīng)濟(jì);2013年04期

6 孔新榮;;現(xiàn)代物流環(huán)境下電力物流企業(yè)的發(fā)展趨勢(shì)分析[J];廣東科技;2013年Z1期

7 王妙春;汪貽生;姜玉宏;;電子商務(wù)環(huán)境下逆向物流管理研究[J];物流科技;2013年01期

8 倪明;陶雙雙;郭軍華;;企業(yè)逆向物流外包合作伙伴動(dòng)態(tài)選擇模型研究[J];工業(yè)工程與管理;2012年05期

9 周潔;;世界主要發(fā)達(dá)國(guó)家物聯(lián)網(wǎng)的發(fā)展現(xiàn)狀[J];企業(yè)技術(shù)開(kāi)發(fā);2012年28期

10 蘇濤;李文強(qiáng);孫聰;;物聯(lián)網(wǎng)關(guān)鍵技術(shù)研究[J];中國(guó)管理信息化;2012年18期

相關(guān)碩士學(xué)位論文 前1條

1 劉聯(lián)輝;企業(yè)物流外包風(fēng)險(xiǎn)及其防范研究[D];中南大學(xué);2005年

，

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