Operations Management and Data Analytics Modelling (eBook, ePUB)
Economic Crises Perspective
Redaktion: Kumar Awasthi, Lalit; Tyagi, Mohit; Panchal, Dilbagh; Misra, Sushendra Kumar
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Operations Management and Data Analytics Modelling (eBook, ePUB)
Economic Crises Perspective
Redaktion: Kumar Awasthi, Lalit; Tyagi, Mohit; Panchal, Dilbagh; Misra, Sushendra Kumar
- Format: ePub
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Operations Management and Data Analytics Modelling: Economic Crises Perspective addresses real operation management problems in thrust areas like the healthcare and energy management sectors and Industry 4.0.
It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based…mehr
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It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling and Lean Six Sigma.
Features
- Discusses the importance of data analytics in industrial operations to improve economy
- Provides step-by-step implementation of operation management models to identify best practices
- Covers in-depth analysis using data-based operation management tools and techniques
- Discusses mathematical modelling for novel operation management models to solve industrial problems
This book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
- Produktdetails
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 206
- Erscheinungstermin: 30. Dezember 2021
- Englisch
- ISBN-13: 9781000530773
- Artikelnr.: 63062961
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 206
- Erscheinungstermin: 30. Dezember 2021
- Englisch
- ISBN-13: 9781000530773
- Artikelnr.: 63062961
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
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reliability-based preventive maintenance in job shop scheduling; a
simulation study. 10. Prioritizing Circular Economy Performance Measures: A
Case of Indian Rubber Industries. 11. Fuzzy FMEA application in healthcare
industry. 12. Drivers of industry 4.0 in a circular economy initiative in
the context of emerging market. 13. Strategies to manage perishability in
Perishable Food Supply Chain. 14. Six Sigma: Integration with Lean and
Green.
MCDM Model Combining Entropy Weight Method with Range of Value (ROV) Method
and Evaluation Based on Distance from Average Solution (EDAS) Method for
Supplier Selection in Supply Chain Management. 3. Quality Loss function
deployment in Fused Deposition Modelling. 4. Effect of Physical Attributes
of Coconut on Effective Husk Separation: A Review. 5. Selection of Features
and classifier for Controlling the Prosthetic Devices. 6. An intelligent
solution for e-waste collection: vehicle routing optimization. 7.
Identification of most significant parameter in estimating of solar
irradiance at any location -A review. 8. Assessment of Sustainable Product
Returns and Recovery practices in Indian Textile Industries. 9. Integrating
reliability-based preventive maintenance in job shop scheduling; a
simulation study. 10. Prioritizing Circular Economy Performance Measures: A
Case of Indian Rubber Industries. 11. Fuzzy FMEA application in healthcare
industry. 12. Drivers of industry 4.0 in a circular economy initiative in
the context of emerging market. 13. Strategies to manage perishability in
Perishable Food Supply Chain. 14. Six Sigma: Integration with Lean and
Green.