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20231027140348.0 |
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191227t20202020njua ob 001 0 eng |
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|a 2019058767
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|a (OCoLC)1150825826
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|a TP155.2.C67
|b L34 2020
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|a 660.068/1
|2 23
|
049 |
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|a UAMI
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100 |
1 |
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|a Lahiri, Sandip Kumar,
|d 1970-
|e author.
|
245 |
1 |
0 |
|a Profit maximization techniques for operating chemical plants /
|c Sandip Kumar Lahiri.
|
264 |
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1 |
|a Hoboken, NJ :
|b John Wiley & Sons, Inc.,
|c 2020.
|
264 |
|
4 |
|c ©2020
|
300 |
|
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|a 1 online resource (xxxiv, 377 pages) :
|b illustrations (chiefly color)
|
336 |
|
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|a text
|b txt
|2 rdacontent
|
337 |
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
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504 |
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|a Includes bibliographical references and index.
|
520 |
|
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|a "Profit maximization is at the core of every chemical company's vision and mission nowadays. Making money by safely producing chemicals, sailing locally are no more adequate to survive in today's business environment. Maximization of profit, continuous improvement of operation, sustainability, enhanced reliability to reduce production cost are buzzwords in today's CPI. Industries are slowly shifting their priority to energy efficiency, real-time process optimization, environment friendliness, and sustainability. Running the plant at their highest feasible capacity by exploiting the margin available in process equipment is no longer a luxury but a necessity. There is a drastic change of business environment in last 20 years. Shrinking profit margin of chemical process industries (CPI) due to globalization, uneven label playing field in international chemical business give rise to cut-throat competition among process industries has changed the global chemical business scenario(Lahiri, 2017b)"--
|c Provided by publisher
|
588 |
0 |
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|a Online resource; title from digital title page (viewed on August 25, 2020).
|
505 |
0 |
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|a 2.3.1.3 Sales and Marketing 14 2.3.1.4 Research and Development 15 2.4 Using Advanced Analytics to Boost Productivity and Profitability in Chemical Manufacturing 15 2.4.1 Decreasing Downtime Through Analytics 16 2.4.2 Increase Profits with Less Resources 17 2.4.3 Optimizing the Whole Production Process 18 2.5 Achieving Business Impact with Data 19 2.5.1 Data's Exponential Growing Importance in Value Creation 19 2.5.2 Different Links in the Value Chain 20 2.5.2.1 The Insights Value Chain -- Definitions and Considerations 21 2.6 From Dull Data to Critical Business Insights: The Upstream Processes 22 2.6.1 Generating and Collecting Relevant Data 22 2.6.2 Data Refinement is a Two-Step Iteration 23 2.7 From Valuable Data Analytics Results to Achieving Business Impact: The Downstream Activities 25 2.7.1 Turning Insights into Action 25 2.7.2 Developing Data Culture 25 2.7.3
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590 |
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|a Knovel
|b ACADEMIC - General Engineering & Project Administration
|
590 |
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|a Knovel
|b ACADEMIC - Chemistry & Chemical Engineering
|
650 |
|
0 |
|a Chemical engineering
|x Cost effectiveness.
|
650 |
|
0 |
|a Engineering economy.
|
650 |
|
0 |
|a Profit.
|
650 |
|
6 |
|a Génie chimique
|x Coût-efficacité.
|
650 |
|
6 |
|a Profit.
|
650 |
|
7 |
|a TECHNOLOGY & ENGINEERING
|x General.
|2 bisacsh
|
650 |
|
7 |
|a Engineering economy
|2 fast
|
650 |
|
7 |
|a Profit
|2 fast
|
776 |
0 |
8 |
|i Print version:
|a Lahiri, Sandip Kumar, 1970-
|t Profit maximization techniques for operating chemical plants.
|b First edition.
|d Hoboken, NJ : John Wiley & Sons, Inc., 2020
|z 9781119532156
|w (DLC) 2019058766
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856 |
4 |
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|u https://appknovel.uam.elogim.com/kn/resources/kpPMTOCP02/toc
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|a ProQuest Ebook Central
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|a EBSCOhost
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|a YBP Library Services
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