(4.1.1)--《大数据思维-深圳港口的创新探索与实践》PPT讲义.ppt

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1、Big data logic Shenzhen ports innovation and practiceKnowing about big data logic at port production practice1Learning about how to use big data logic to enhance port working effectiveness2学习目标3Learning how to use big data samples filtering and enhancing operation processDo you know how to use big d

2、ata at port operation?课前一问We can use port data mining to eliminate port operation cost and enhance efficiency to realise better service quality.In the future,when we can effectively link each party relevant to port(e.g.forwarders and cargo owners),further technlaogical resource embracement can be ac

3、hieved.At this time,smart port that enables each sections linkage development can be reached as well.From informative port to digital port and now to smart port,we,as practitioners at Shenzhen port,already used big data logics to enhance port operation.This has not only enhanced efficiency,but also

4、minimized cost.了解大数据思维In the big data era,more and more people realise port itself is the hub of big data 大数据思维应用的实践案例For exporting portsDecentralization can become centralizationAnd vise versaport planning department has a rule when arranging yards:01Which types of exporting containers should be pl

5、aced concentratedly?02How to enhance facilities cooperation?03How to minimize facilities working distance?04How to enhance yards facilities working effectiveness per minute?05Which types of exporting containers should be placed deconcentratedly?06How to enahcne facilities covering range and send out

6、 containers and enhance yards facilities working effectiveness per minute at the same time?大数据思维应用的实践案例Port worker thinks大数据思维提高港口操作效率ABCDA.Use big data logic to review complicated informaiton during workB.The concept is to find commonalityC.Use data commonality to maximase port operations work that

7、 has same featuresD.To be able to control variable cost to enhance port operation effeciency具 体 做 法 步 骤利用大比例样本来优化操作流程procedures01We collect information at each steps including upstream and downstream informationDetailed to each containers weight level,shipper,vessel number and truck coming time,etc.

8、02After gathering all information to be ready to depart,we seek for whether there is a big portion of index having same sample under each container information type,and then make comparison to filter commondianlityUse big sampling size to do filtering and analyzing port procedures can improve proced

9、ures.具体案例分析case studyCentrally placing export containers with same weight class in the waterway gate bargeFirst,use big data to analyze huge amount of exporting data and use comparison to find container unloading features when berthing which passed by waterway gate barge.Normally containers with sam

10、e area,container size or weight will be located togetherTherefore,we use upstream company to provide unloading container list and match them with next journey relevant info.Lastly before berthing,containers already have same symbols.When unlaod containers,containers with same symbols will be central

11、ly placed.具体案例分析At the same time yards are segmented into different areas.We use big data to analyze average facility working efficiency and the covering range(to minimize facility number without sacrificing efficiency)For big sized ships,more big data analysis should be analyzed to see exporting co

12、ntainer numbers under same features and rates of facilities working at the same time.Then unreasonable ones can be adjusted.case studyCentrally placing export containers with same weight class in the waterway gate bargeWe use data base and data to analyze and forecast trends to increase effiency.At

13、the same time,up and down stream clients can be linked via port as a hub centre.More importantly,we realizes shorter berthing time and facilities operation cost by enhanced efficiency.具体案例分析Led by the yards to analyze and seek for data main stream and link the results with booking informationPort op

14、eration effectiveness can enhance c.a.10%Which equals to handling three more containers each crane,16,000 container per crane per year.产品优势主打品牌未来愿景课后总结Core of big data is to predict and analyze valuable product and services via huge amount of data.2.Which new technology do you want to apply to shipping industry to lower port cost?1.Which new technology do you want to apply to shipping industry to enhance port working efficiency?课后问答Thanks

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