Experience gained during a ten-year long involvement in modelling, program- ming and application in nonlinear optimization helped me to arrive at the conclusion that in the interest of having successful applications and efficient software production, knowing the structure of the problem to be solved is in- dispensable.
This book covers research trends of data science and management involving cutting edge technologies and novel research directions from diverse fields of industries, business and government sectors.
Machine Learning Tools for Chemical Engineering: Methodologies and Applications examines how machine learning (ML) techniques are applied in the field, offering precise, fast, and flexible solutions to address specific challenges.
Dynamics of Information Systems: Algorithmic Approaches presents recent developments and results found by participants of the Fourth International Conference on the Dynamics of Information Systems, which took place at the University of Florida, Gainesville FL, USA on February 20-22, 2012.
Die vorliegende Dissertation entstand während meiner Tätigkeit als wissen schaftlicher Mitarbeiter am Institut für Werkzeugmaschinen und Betriebswissen schaften (iwb) der Technischen Universität München.
The co-author of the monumental bestseller Reengineering the Corporation continues the reengineering revolution with another national bestseller that has already sold more than 165,000 copies in hardcoverReengineering Management is a brilliant, practical and much needed book on the most powerful management idea of the decade.
The 21st century promises to be an era dominated by international response to c- tain global environmental challenges such as climate change, depleting biodiversity and biocapacity as well as general atmospheric, water and soil pollution problems.
This edited collection addresses the question of which capabilities and competencies enable Behavioral Operational Research to provide sustained improvement to decision processes.
Learn how to gain insights from your data as well as machine learning and become a presentation pro who can create interactive dashboardsKey FeaturesEnhance your presentation skills by implementing engaging data storytelling and visualization techniquesLearn the basics of machine learning and easily apply machine learning models to your dataImprove productivity by automating your data processesBook DescriptionData Analytics Made Easy is an accessible beginner's guide for anyone working with data.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction toartificial intelligence as a tool in the generation and analysis of healthcare data.
Most of the scientific methods devised for forest planning support timber production ignoring the existence of forest functions other than wood production.
This thesis deals with timing and sizing decisions for production lots, and more precisely, with mathematical models to support optimal tim- ing and sizing decisions.
This book provides a framework to help managers go beyond simply fighting fires every day, offering the tools to address the underlying causes of recurring problems and deliver long-term solutions.
This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance.
Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations.
This book contains extended and revised versions of a set of selected papers from two events organized by the Euro Working Group on Decision Support Systems (EWG-DSS), which were held in Toulouse, France and Barcelona, Spain, in June and July 2014.
Measuring Transport Equity provides a range of methods with the potential to shape transport decision-making processes, thus allowing for the adoption of more equitable transport solutions.
This book addresses computer scientists, IT specialists, mathematicians, knowledge engineers and programmers, who are engaged in research and practice of multicriteria decision making.
This book focuses on the use of farm level, micro- and macro-data of cooperative systems and networks in developing new robust, reliable and coherent modeling tools for agricultural and environmental policy analysis.
Strategic Decision Making in Modern Manufacturing introduces and explains the AMBIT (Advanced Manufacturing Business ImplemenTation) approach, which has been developed to bridge the gap between strategic management considerations and the operational effects of technology investment decisions on the manufacturing organisation, so that the likely impact of new manufacturing technology and/or programme implementations can be evaluated, anticipated and accurately predicted.