Data Analytics in Operations Management (Paperback)

Aaron Locklear

ISBN 13: 9798324552527
Verlag: Independently Published, 2024
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Paperback. "Data Analytics in Operations Management: Theory and Practice for the Future Landscape" is meticulously crafted to empower operations managers and business leaders in harnessing the transformative power of data analytics. The content is methodically structured, offering a rich blend of theoretical knowledge and practical application, ensuring readers are well-equipped to leverage analytics for informed decision-making. Commencing with foundational concepts, the book progresses through the intricacies of data infrastructure, presenting cutting-edge methodologies for interpreting and utilizing information. With incisive chapters on decision-making, integration of analytics into various business domains, and human factors in data interpretation, the guide deftly addresses the multifaceted nature of operations in a data-centric business world. A thorough examination of project management within the analytics sphere is paired with sagacious insights into the alignment of operational and data strategies, thus amplifying the decision-making prowess of managers. Crucially, the volume delves into governance, outlining the imperative for compliance in an ever-evolving regulatory landscape. The publication encapsulates emerging trends and their prospective influence on operations, preparing organizations for the pulse of future innovations. Concluding with a strategic compendium, it sets the course for ongoing development and application of analytics in operations management. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798324552527

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"Data Analytics in Operations Management: Theory and Practice for the Future Landscape" is meticulously crafted to empower operations managers and business leaders in harnessing the transformative power of data analytics. The content is methodically structured, offering a rich blend of theoretical knowledge and practical application, ensuring readers are well-equipped to leverage analytics for informed decision-making.

Commencing with foundational concepts, the book progresses through the intricacies of data infrastructure, presenting cutting-edge methodologies for interpreting and utilizing information. With incisive chapters on decision-making, integration of analytics into various business domains, and human factors in data interpretation, the guide deftly addresses the multifaceted nature of operations in a data-centric business world.

A thorough examination of project management within the analytics sphere is paired with sagacious insights into the alignment of operational and data strategies, thus amplifying the decision-making prowess of managers. Crucially, the volume delves into governance, outlining the imperative for compliance in an ever-evolving regulatory landscape.

The publication encapsulates emerging trends and their prospective influence on operations, preparing organizations for the pulse of future innovations. Concluding with a strategic compendium, it sets the course for ongoing development and application of analytics in operations management.

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Titel: Data Analytics in Operations Management (...
Verlag: Independently Published
Erscheinungsdatum: 2024
Einband: Paperback
Zustand: new

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Lalit Kumar Awasthi
ISBN 10: 1032020598 ISBN 13: 9781032020594
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Paperback. Zustand: new. Paperback. 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 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 problemsThis book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science. This reference text introduces latest innovations on data analytics operation management in a single volume. It will serve as a useful text for graduate students and professionals in the field of industrial and production engineering, mechanical engineering, and materials science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781032020594

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Lalit Kumar Awasthi
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Paperback. Zustand: new. Paperback. 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 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 problemsThis book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science. This reference text introduces latest innovations on data analytics operation management in a single volume. It will serve as a useful text for graduate students and professionals in the field of industrial and production engineering, mechanical engineering, and materials science. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781032020594

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Lalit Kumar Awasthi
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Paperback. Zustand: new. Paperback. 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 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 problemsThis book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science. This reference text introduces latest innovations on data analytics operation management in a single volume. It will serve as a useful text for graduate students and professionals in the field of industrial and production engineering, mechanical engineering, and materials science. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9781032020594

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