Operations Management and Data Analytics Modelling

<p>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.</p><p>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.</p><p><b>Features</b></p><ul> <p> </p> <li>Discusses the importance of data analytics in industrial operations to improve economy</li> <p> </p> <li>Provides step-by-step implementation of operation management models to identify best practices</li> <p> </p> <li>Covers in-depth analysis using data-based operation management tools and techniques</li> <p> </p> <li>Discusses mathematical modelling for novel operation management models to solve industrial problems</li> </ul><p>This book is aimed at graduate students and professionals in the field of industrial and production engineering mechanical engineering and materials science.</p>