Shulph Ink
Operations Management and Data Analytics Modelling: Economic Crises Perspective
Operations Management and Data Analytics Modelling: Economic Crises Perspective
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- More about Operations Management and Data Analytics Modelling: Economic Crises Perspective
Operations Management and Data Analytics Modelling: Economic Crises Perspective 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 operations, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling, and Lean Six Sigma. It is aimed at graduate students and professionals in industrial and production engineering, mechanical engineering, and materials science.
Format: Hardback
Length: 184 pages
Publication date: 31 December 2021
Publisher: Taylor & Francis Ltd
Operations Management and Data Analytics Modelling: Economic Crises Perspective delves into the realm of real-world operation management challenges, focusing on key sectors such as healthcare and energy management, as well as Industry 4.0. It explores the latest advancements and trends in developing data-driven operation management-based methodologies, comprehensive big data analysis, the integration of computers in industrial engineering, optimization techniques, the creation of decision support systems for industrial operations, the significance of a multiple-criteria decision-making (MCDM) approach in operation management, the application of fuzzy set theory in operation management modelling, and Lean Six Sigma.
This comprehensive book serves as a valuable resource for graduate students and professionals seeking to excel in the fields of industrial and production engineering, mechanical engineering, and materials science. It offers a detailed discussion on the importance of data analytics in enhancing industrial operations, providing step-by-step implementation of operation management models to identify best practices. It also delves into in-depth analysis using data-based operation management tools and techniques, highlighting the use of mathematical modelling for developing novel operation management models to address industrial problems.
By presenting a comprehensive overview of these topics, Operations Management and Data Analytics Modelling: Economic Crises Perspective equips readers with the knowledge and skills necessary to thrive in today's competitive industrial landscape.
Weight: 450g
Dimension: 223 x 243 x 18 (mm)
ISBN-13: 9780367754518
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