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001 9781003010524
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008 201130s2021 flua ob 001 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9781003010524
_q(electronic bk.)
020 _a1003010520
_q(electronic bk.)
020 _z9780367535186
020 _a9781000165432
_q(electronic bk. : Mobipocket)
020 _a1000165434
_q(electronic bk. : Mobipocket)
020 _a9781000165388
_q(electronic bk. : PDF)
020 _a1000165388
_q(electronic bk. : PDF)
020 _a1000165485
_q(electronic bk. : EPUB)
020 _z9780367222376
020 _a9781000165487
_q(electronic bk.)
035 _a(OCoLC)1224544463
_z(OCoLC)1226072434
035 _a(OCoLC-P)1224544463
050 4 _aTP184
_b.B37 2021eb
072 7 _aTEC
_x009010
_2bisacsh
072 7 _aTD
_2bicssc
082 0 4 _a660.028/5
_223
100 1 _aBascur, O. A.
_q(Osvaldo A.),
_eauthor.
245 1 0 _aDigital transformation for the process industries :
_ba roadmap /
_cOsvaldo A. Bascur.
250 _aFirst edition.
264 1 _aBoca Raton :
_bCRC Press, Taylor & Francis Group,
_c2021.
300 _a1 online resource (xxxiv, 286 pages) :
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aImagine if your process manufacturing plants were running so well that your production, safety, environmental, and profitability targets were being met so that your subject matter experts could focus on data-driven business improvements. Through proper use and analysis of your existing operations data, your company can become an industry leader and reward your stakeholders. Written in an engaging and easily understandable manner, this book demonstrates a step-by-step process of how an organization can effectively utilize technology and make the necessary culture changes to achieve operational excellence. You will see how several industry-leading companies have used an effective real-time data infrastructure for mission-critical business use cases. The book also addresses challenges involved, such as effectively integrating operational (OT) data with business (IT) systems to enable a more proactive, predictive management model for a fleet of process plants. Some of the things you will take away: Learn how a real-time data infrastructure enables transformation of raw sensor data into contextualized information for operational insights and business process improvement. Understand how reusing the same operational data for multiple use cases significantly impacts fleet management, profitability, and asset stewardship. See how a simple digital unit template representing production flows can be repeatedly used to identify critical inefficiencies in plant operations. Discover best practices of deploying real-time situational awareness alerts and predictive analytics. Realize how to transform your organization into a data-driven culture for continuous sustainable improvement. Find out how leading companies integrate operations data with business intelligence and predictive analytics tools in a corporate on-premises or cloud-enabled environment. Learn how industry-leading companies have imaginatively used a real-time data infrastructure to improve yields, reduce cycle times, and slash operating costs. This book is targeted for process industries production and operations leadership, senior engineers, IT management, CIOs, and service providers to those industries. Academics will benefit from latest data analysis strategies. This book guides readers to use the best, results-proven approaches to ensure operational excellence.
505 0 _a1. Advancing to an Industrial Digital Data Infrastructure2. Building the Foundation3. Using EIDI Data as a Strategic Asset4. Advanced Analysis Using Unit Data and Event Templates5. The Humans behind the Data: Visualization and Collaboration6. Preventing Abnormal Situations7. Energy Management and Operational Improvements8. Successful Examples of Enterprise-Wide Digital Transformation9. Beyond the Refinery--Connecting the Ecosystem10. Operational and Business Analytics Integration11. ProcIndustries Enterprise-Wide Rollout12. The Future of the Digital Enterprise
588 _aOCLC-licensed vendor bibliographic record.
650 7 _aTECHNOLOGY / Engineering / Chemical & Biochemical
_2bisacsh
650 0 _aChemical engineering
_xData processing.
650 0 _aIndustrial management
_xData processing.
650 0 _aOperations research
_xData processing.
650 0 _aProduction management.
650 0 _aBusiness enterprises
_xTechnological innovations.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003010524
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c126577
_d126577