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Decision-Making Management - A Tutorial and Applications (Paperback)
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Decision-Making Management - A Tutorial and Applications (Paperback)
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Decision-Making Management: A Tutorial and Applications provides
practical guidance for researchers seeking to optimizing
business-critical decisions employing Logical Decision Trees thus
saving time and money. The book focuses on decision-making and
resource allocation across and between the manufacturing, product
design and logistical functions. It demonstrates key results for
each sector with diverse real-world case studies drawn primarily
from EU projects. Theory is accompanied by relevant analysis
techniques, with a progressional approach building from simple
theory to complex and dynamic decisions with multiple data points,
including big data and lot of data. Binary Decision Diagrams are
presented as the operating approach for evaluating large Logical
Decision Trees, helping readers identify Boolean equations for
quantitative analysis of multifaceted problem sets. Computational
techniques, dynamic analysis, probabilistic methods, and
mathematical optimization techniques are expertly blended to
support analysis of multi-criteria decision-making problems with
defined constraints and requirements. The final objective is to
optimize dynamic decisions with original approaches employing
useful tools, including Big Data analysis. Extensive annexes
provide useful supplementary information for readers to follow
methods contained in the book.
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