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Operations Management and Data Analytics Modelling: Economic Crises Perspective
Lalit Kumar Awasthi (editor), S.K. Mishra (editor), Dilbagh Panchal (editor), Mohit Tyagi (editor)This reference text addresses real operation management problem in the thrust areas like health care sector, energy management sector, and industry 4.0.
It discusses recent advances and trends in developing the data driven operation management based methodologies, big data analysis, application of computer in industrial engineering, optimization techniques, development of decision support system for industrial operation, role of multi-criteria-decision-making (MCDM) approach in operation management, fuzzy set theory based operation management modeling and lean six sigma.
Aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering, and materials science, this text:
- Discusses importance of data analytics in industrial operation for improving economy.
- Provides step-by-step implementation of operation management models for identifying best practices.
- Covers in-depth analysis using data-based operation management tools and techniques.
- Discusses mathematical modelling for novel operation management models for solving industrial problems.
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