This book investigates in detail large-scale group decision-making (LSGDM) problem, which has gradually evolved from the traditional group decision-making problem and has attracted more and more attention in the age of big data.
This book presents some of the most important papers published in Palgrave's Journal of Operational Research relating to the use of System Dynamics (SD) in the context of Operational Research (OR).
Robust methods to identify new growth opportunitiesYOUR SHAREHOLDERS DEMAND growth; your company needs growth; and your career can suffer or soar because of how you drive growthor dont.
Constraint Programming is a problem-solving paradigm that establishes a clear distinction between two pivotal aspects of a problem: (1) a precise definition of the constraints that define the problem to be solved and (2) the algorithms and heuristics enabling the selection of decisions to solve the problem.
Cutting and packing problems such as the cutting of sheet metal and the loading of contain- ers or, in a more abstract sense, capital budgeting or assembly line balancing have been treated in scientific literature of various disciplines for about fifty years.
Das erfolgreiche Management auftragsgebundener Produktentwicklungen gewinnt aufgrund zunehmender Produktkomplexität und beschleunigter Innovationszyklen an Bedeutung.
From business guru Joseph Michelli-the leadership lessons needed to thrive beyond the greatest business crisis in modern historyCOVID-19 has disrupted business and life in ways we never imagined.
This 2003 book summarizes theoretical developments in statistical tools to measure financial markets, for students and professionals in econophysics and analytical markets.
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This book provides students and researchers with a resource that includes the current application of the multi-criteria decision theory in a variety of fields, including the environment, health care, engineering, and architecture.
This book considers a range of problems in operations research, which are formulated through various mathematical models such as complementarity, variational inequalities, multiobjective optimization, fixed point problems, noncooperative games and inverse optimization.
A dynamic new way to understand intuition, already implemented around the world at top companies and business schools Neuroscience shows that instinct has a leading role in complex decision-making, yet imaginative play is the most direct means of activating our creativity and problem-solving abilities.
Over the past thirty-five years, a substantial amount of theoretical and empirical scholarly research has been developed across the discipline domains of Transportation.
Portfolio Decision Analysis: Improved Methods for Resource Allocation provides an extensive, up-to-date coverage of decision analytic methods which help firms and public organizations allocate resources to 'lumpy' investment opportunities while explicitly recognizing relevant financial and non-financial evaluation criteria and the presence of alternative investment opportunities.
From the Preface:Blending ideas from operations research, music psychology, music theory, and cognitive science, this book aims to tell a coherent story of how tonality pervades our experience, and hence our models, of music.
This fascinating new core textbook, authored by a highly respected academic with over a decade of industry experience, takes a global and strategic approach to the important topic of operations management (OM).
Michael Strobel worked for several years as a software engineer and consultant in the German IT industry before joining IBM Research in Switzerland, where he developed his interest in support for negotiations in electronic markets.
This book tackles the perplexing problem of how to capture the qualitative differences that exist in entrepreneurship at any given point in time or across time, by presenting a novel qualitative index: Entrepreneurship Quality Index (EQI).
Computational economics has been at the forefront in stimulating the de- velopment of mathematical methodologies for the analysis and solution of complex, large-scale problems.
The book presents the proceedings of the 7th EAI International Conference on Management of Manufacturing Systems (MMS 2022), which took place in Krynica-Zdroj, Poland, 05-07 October 2022.
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.
This book describes the cognitive and interpersonal effects of group model building, and presents empirical research on what group model building achieves and how.
The purpose of this study is in keeping with the shift in concern over the eco- nomic problems of growth to those of income distribution in recent years.