コンテナターミナルにおける作業日報のビッグデータを用いた荷役状況分析法―トランスファー・クレーンの稼働分析と蔵置状況分析―

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  • 篠田 岳思
    九州大学大学院 工学研究院 海洋システム工学部門
  • Tiago N. MATHIAS
    九州大学大学院 工学府 都市環境システム工学専攻
  • 犬塚 秀世
    九州大学大学院 工学府 都市環境システム工学専攻
  • 中川 康之
    九州大学大学院 工学研究院　海域港湾環境防災共同研究部門

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  • Methodology for Situation Analysis of Daily Report Big Data on Container Handling Operation- Operation Analysis for Transfer Crane and Situation Analysis for Storage Yard -

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<p>Data analysis regarding resources management have gained an important role between companies all over the globe in recent years. Business activities aim to profit by making an effective and efficient use of those resources, whether human or physical or financial or logical resources. New technologies such as IoT and Big Data have particularly become widely used in this matter. In this study, one-year daily report by transfer crane from August 1st, 2017 to July 31st, 2018 in the Island city container terminal in Hakata port, which includes big data, approximately 1,020,000 container cargo handling operations, are analyzed in order to comprehend the container storage status, re-handling status, utilization rate of transfer crane, and so on. Some methods for situation analysis of the big data on the container cargo handling operation are considered.</p>

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