Operational research

Human Systems Management is an important work that integrates knowledge, management and systems into a unified world of thinking and action in business, decision-making and economics.

This new interdisciplinary work presents system dynamics as a powerful approach to enable analysts build simulation models of social systems, with a view toward enhancing decision making.

Most of the papers in this collection are contributions to action theory intended to be of some relevance to one or another concern of decision theory, particularly to its application to concrete human behavior.

This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions.

This book inclusively and systematically presents the fundamental methods, models and techniques of practical application of grey data analysis, bringing together the authors' many years of theoretical exploration, real-life application, and teaching.

As the most comprehensive reference work dealing with knowledge management (KM), this work is essential for the library of every KM practitioner, researcher, and educator.

This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization.

This book brings together a diverse range of findings on current and emerging business concerns when the authors were developing a series of 12 working Analytic Research Consortium (ARC) White Papers.

This book describes five qualitative investment decision-making methods based on the hesitant fuzzy information.

This volume explores ways in which an organization's existing competences can be enhanced as sources of competitive advantage - either enduring or intendedly transitional.

In vector optimization one investigates optimization problems in an abstract setting which have a not necessarily real-valued objective function.

This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations.

This book presents an authoritative collection of contributions reporting on fuzzy logic and decision theory, together with applications and case studies in economics and management science.

Dynamic Optimization and Differential Games has been written to address the increasing number of Operations Research and Management Science problems that involve the explicit consideration of time and of gaming among multiple agents.

This handbook includes three parts, corresponding to the following three domains of OR/MS research related to sustainability: (i) Systems Design, Innovation, and Technology, (ii) Manufacturing, Logistics, and Transportation, and (iii) Sustainable Natural Resource Management.

This shortform book presents key peer-reviewed research selected by expert series editors and contextualised by new analysis from each author on how the specific field addressed has evolved.

To derive rational and convincible solutions to practical decision making problems in complex and hierarchical human organizations, the decision making problems are formulated as relevant mathematical programming problems which are solved by developing optimization techniques so as to exploit characteristics or structural features of the formulated problems.

Data visualization involves graphical and visual tools used in data analysis and decision making.

This book introduces students on Multiple Criteria Decision Aiding and Making courses to practical, real-world cases.

This book addresses key topics related to organization design and knowledge management in the digital economy with organizational context, particularly in Asia.

Finite-dimensional optimization problems occur throughout the mathematical sciences.

COVID-19 has hit the world unprepared, as the deadliest pandemic of the century.

This book reconsiders the role of nobility as influential economic players and provides new insights into the business activities of noblemen in Europe and Asia during the nineteenth century thus offering up opportunities for comparison in an age of economic expansion and globalisation.

The objective of this book is to answer the calls from front-line managers, entrepreneurs, and scholarly researchers to reconstruct the theories of economics and business.

This is an introductory textbook of linear programming, written mainly for students of computer science and mathematics.

Our aim is to introduce, explain, and discuss the fundamental problems, ideas, concepts, results, and methods of the theory of dynamical systems and to show how they can be used in speci?

Management Lessons from Mayo Clinic reveals for the first time how this complex service organization fosters a culture that exceeds customer expectations and earns deep loyalty from both customers and employees.

This book discusses key issues in the planning and operation of large-scale integrated energy systems (LSIES).

"e;Social Simulation for a Digital Society"e; provides a cross-section of state-of-the-art research in social simulation and computational social science.

This book is intended for researchers and postgraduates who are interested in the consensus reaching process in group decision-making problems.

Simplicial Global Optimization is centered on deterministic covering methods partitioning feasible region by simplices.

This book provides a conceptual framework of global value chains, flexibility and sustainability, supported by research projects, case applications and models in various related areas organized into three parts.

This volume offers the state-of-the-art research and developments in service science and related research, education and practice areas.

This book focuses on selected aspects of the current and upcoming trends in transportation, logistics, and decision-making.

Based on the shared journey of two researchers, this book explores enhancing algorithms for the resource-constrained project scheduling problem.

This book is about improving human decision making and performance in complex tasks.

The goal in putting together this unique compilation was to present the current status of the solutions to some of the most essential open problems in pure and applied mathematics.

Distributed decision making (DDM) has become of increasing importance in quantitative decision analysis.

Decision Science and Technology is a compilation of chapters written in honor of a remarkable man, Ward Edwards.

This book describes in full the major approaches used to evaluate investment in real estate and shows how theory informs decision-aid methods and tools to support such evaluation.

This book presents selected papers on Business Management and Technology, focusing on recent research in Business, Optimization, Technology, and Global Issues.