Mayank Singh (ed.); Vipin Tyagi (ed.); P. K. Gupta (ed.); Jan Flusser (ed.); Tuncer Ören (ed.); V. R. Sonawane (ed.) Springer (2021) Pehmeäkantinen kirja
Alok Bhandari; Pao Y. Surampalli; Craig D. Adams; Pascale Champagne; Say Kee Ong; R.D. Tyagi; Tian Cheng Zhang American Society of Civil Engineers (2009) Pehmeäkantinen kirja
Taylor & Francis Ltd Sivumäärä: 184 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2024, 07.10.2024 (lisätietoa) Kieli: Englanti
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 problems
This book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science.
