In order to solve the problem of data island in the safety management ofoffshore oil and gas fields, take full advantage of data for subsequent analysis anddevelopment, and support production safety management of oil ...In order to solve the problem of data island in the safety management ofoffshore oil and gas fields, take full advantage of data for subsequent analysis anddevelopment, and support production safety management of oil and gas fields, the MES,which is maturely applied in manufacturing and downstream production of CNOOC(China National Offshore Oil Corporation), is introduced by the petroleum administrationat the eastern South China sea. The system adopts the real-time database and relationaldatabase to collect the scattered structured data, such as evidence information of offshoreoil and gas production facilities personnel, on-site hidden danger information andincident investigation report. Then a unified secure data center platform is established forevery operating area and production site, and the critical safety data of production sitescan be centrally managed. This system has the functions of lawful real-time supervisionof personnel qualification, online supervision and trend analysis of hidden dangers, andcentralized management and sharing of incident investigation report. By applying theMES system in security management, the process of safety service becomes standardizedand modularized, the management process becomes normalized, and the efficiency andeffect of overall management is improved.展开更多
Industry 4.0, or the Fourth Industrial Revolution, is based on digitized the manufacturing process and makes use of all digital tools so its combination of various digital technologies computers, ERP software, IoT, ma...Industry 4.0, or the Fourth Industrial Revolution, is based on digitized the manufacturing process and makes use of all digital tools so its combination of various digital technologies computers, ERP software, IoT, machine learning and AI techniques, Manufacturing Execution Systems (MES), and big data analytics to create a new, fully digitized manufacturing system. The Critical Success Factors (CSFs) of MES adoption are both a quantitative and qualitative measurement. We use the case of ready-made garments to improve each of the three Overall Equipment Efficiency (OEE) factors: Availability, Performance, and Quality. In this study, we adopt real-time management of production activities on the shop floor from order receipt to finished products, then measure the improvement.展开更多
文摘In order to solve the problem of data island in the safety management ofoffshore oil and gas fields, take full advantage of data for subsequent analysis anddevelopment, and support production safety management of oil and gas fields, the MES,which is maturely applied in manufacturing and downstream production of CNOOC(China National Offshore Oil Corporation), is introduced by the petroleum administrationat the eastern South China sea. The system adopts the real-time database and relationaldatabase to collect the scattered structured data, such as evidence information of offshoreoil and gas production facilities personnel, on-site hidden danger information andincident investigation report. Then a unified secure data center platform is established forevery operating area and production site, and the critical safety data of production sitescan be centrally managed. This system has the functions of lawful real-time supervisionof personnel qualification, online supervision and trend analysis of hidden dangers, andcentralized management and sharing of incident investigation report. By applying theMES system in security management, the process of safety service becomes standardizedand modularized, the management process becomes normalized, and the efficiency andeffect of overall management is improved.
文摘Industry 4.0, or the Fourth Industrial Revolution, is based on digitized the manufacturing process and makes use of all digital tools so its combination of various digital technologies computers, ERP software, IoT, machine learning and AI techniques, Manufacturing Execution Systems (MES), and big data analytics to create a new, fully digitized manufacturing system. The Critical Success Factors (CSFs) of MES adoption are both a quantitative and qualitative measurement. We use the case of ready-made garments to improve each of the three Overall Equipment Efficiency (OEE) factors: Availability, Performance, and Quality. In this study, we adopt real-time management of production activities on the shop floor from order receipt to finished products, then measure the improvement.
