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馬國油與AVEVA合作推動數(shù)字化轉(zhuǎn)型

   2021-04-15 互聯(lián)網(wǎng)訊

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核心提示:  據(jù)世界石油4月13日倫敦報道,馬來西亞國家石油公司(Petronas)是一家全面整合的油氣跨國公司,該公司已

  據(jù)世界石油4月13日倫敦報道,馬來西亞國家石油公司(Petronas)是一家全面整合的油氣跨國公司,該公司已與全球領(lǐng)先的工業(yè)軟件公司AVEVA合作,推動數(shù)字化轉(zhuǎn)型和可持續(xù)發(fā)展,提供一個現(xiàn)代化的企業(yè)解決方案,促進整個價值鏈的整合。

  馬國油在云技術(shù)中選擇了AVEVA統(tǒng)一供應鏈,以簡化業(yè)務流程并深化合作,同時減少價值流失并維持生產(chǎn)力。作為唯一一家在所有供應鏈活動中提供統(tǒng)一設(shè)計應用的工業(yè)軟件公司,AVEVA的解決方案使用企業(yè)原油知識管理,以推動油氣行業(yè)的價值鏈優(yōu)化。

  通過云高性能計算交付直觀的軟件

  AVEVA解決方案將提供簡單的數(shù)據(jù)管理,以提供單一的原油信息來源,以便于在不同的團隊和地點共享。這種現(xiàn)代而直觀的軟件將消除對特定編碼的要求,大大減少了學習曲線,提供高性能計算和先進的數(shù)據(jù)處理,使馬國油能夠使用最新的云技術(shù)快速運行復雜的規(guī)劃模型。

  馬國油精煉和貿(mào)易副總裁Yusri Yusof 表示:“在馬國油,我們一直在尋求通過提供最佳解決方案的顛覆性技術(shù)創(chuàng)造價值。利用AVEVA統(tǒng)一供應鏈軟件,我們能夠采用更集成的業(yè)務流程,這優(yōu)化了我們的生產(chǎn)率,使我們能夠以更低的成本交付?!?/p>

  轉(zhuǎn)變企業(yè)運營并改善結(jié)果

  AVEVA解決方案已經(jīng)幫助馬國油公司的4個煉油廠和石化工廠改善了安全運營,同時找到了最佳的原料利用率。該技術(shù)還可確保生產(chǎn)計劃與實際的工廠優(yōu)化相匹配,并減少計劃與煉油廠實際運營之間的差距。

  AVEVA規(guī)劃與運營高級副總裁Harpreet Gulati表示:“AVEVA統(tǒng)一供應鏈軟件是AVEVA價值鏈優(yōu)化解決方案的一部分,為馬國油等企業(yè)提供了一個獨特的機會,使整個供應鏈從原料選擇到計劃、調(diào)度、運營和分銷的所有業(yè)務和運營活動同步。 我們的解決方案是幫助企業(yè)改變他們的工作和運營方式。我們正在實現(xiàn)馬國油公司供應鏈的數(shù)字化轉(zhuǎn)型,通過下一代軟件增強用戶體驗、提供內(nèi)置協(xié)作、交互性和高級分析,使其員工能夠做出更優(yōu)秀、更敏捷的決策。”

  裘寅 編譯自 世界石油

  原文如下:

  Petronas partners with AVEVA to drive digital transformation advances

  Petroliam Nasional Berhad (Petronas), Malaysia’s fully integrated oil and gas multinational, has partnered with AVEVA, a global leader in industrial software, driving digital transformation and sustainability, to provide a modern enterprise solution that promotes integration across the entire value chain.

  Petronas selected AVEVA Unified Supply Chain in the cloud to enable simplified business processes and deeper collaboration, while reducing value leaks and sustaining productivity. As the only industrial software company that offers unified design applications across all supply chain activities, AVEVA’s solution uses Enterprise Crude Knowledge Management, to drive Value Chain Optimization for the oil and gas industry.

  Delivering Intuitive Software with Cloud High Performance Computing

  The AVEVA solution will provide easy data management to deliver a single source of crude oil information that is easily shared across different teams and locations. The modern and intuitive software will eliminate the requirement for specific coding, drastically reducing the learning curve delivering high-performance computing and advanced data processing that will enable Petronas to run complex planning models at speed using the latest cloud technology.

  “At Petronas, we are continuously looking to create value with disruptive technologies that offer optimum solutions. Utilizing AVEVA Unified Supply Chain software, we have been able to adopt a more integrated business process, that optimizes our productivity, allowing us to deliver with less,” said Yusri Yusof, vice president of refining and trading at Petronas.

  Transforming Organizational Operations and Improving the bottom line

  AVEVA solutions have helped the 4 Petronas refinery and petrochemical sites improve safe operations while finding the best utilization for feedstock. The technology also ensures the resulting production plan matches the real plant optimization and reduces the gap between planning and scheduling, as well as actual refinery operations.

  “AVEVA Unified Supply Chain software, part of AVEVA’s Value Chain Optimization solution, presents a unique opportunity for organizations like Petronas to synchronize all business and operations activities across the supply chain from feedstock selection to planning, scheduling, operations and distribution,“ said Harpreet Gulati, SVP Planning and Operations, AVEVA. “Our solutions are helping organizations to change the way they work and operate. We are delivering the digital transformation of Petronas’ supply chain, by empowering its workforce to make better, more agile decisions with next-generation software that is enhancing the user experience as well as providing built-in collaboration, interactivity and advanced analytics.”



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