Operational research

As the world's third-ranking economic power, Japan's style of management, such as the lifetime employment system, the seniority system, and an enterprise union, has been well studied.

Professionals Making Judgments examines the role of judgment in professional work.

We live in times of increasing world uncertainty.

The BRICS countries are heralded for their double digit economic growth rates and while this has indeed been impressive, particularly in India and China, it is clear that significant social and environmental fault-lines have developed in these regions.

This book introduces readers to essential strategies, practices, and benchmarking for asset maintenance in operations intensive industries.

This book presents an extension of fuzzy set theory allowing for multi-polar information, discussing its impact on the theoretical and practical development of multi-criteria decision making.

This book constitutes the proceedings of the 7th International Conference on Decision Support Systems Technologies, ICDSST 2021, held during May 26-28, 2021.

This tutorial is the first comprehensive introduction to (possibly infinite) linear systems containing strict inequalities and evenly convex sets.

Disasters like floods, hurricanes, chemical or nuclear accidents may cause the necessity to evacuate the affected area.

Using numerical examples to illustrate their concepts and results, this book examines recently developed fuzzy multi-criteria methods, such as Intuitionistic Fuzzy TOPSIS, Intuitionistic Fuzzy TOPSIS & DEA-AHP, Intuitionistic VIKOR, Pythagorean WASPAS, Pythagorean ENTROPI, Hesitant CBD, Hesitant MABAC, Triangular EDAS, Triangular PROMETHEE, q-Rung Orthopair COPRAS, and Fuzzy Type - 2 ELECTRE.

The surging predictive analytics market is expected to grow from $10.

This book is for a first course in stochastic processes taken by undergraduates or master's students who have had a course in probability theory.

Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers.

Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring.

The book shows how simulation's long history and close ties to industry since the third industrial revolution have led to its growing importance in Industry 4.

This book explores the challenges that confront leaders in government and industry when making decisions in the areas of environmental health and safety.

This book is the first comprehensive guide to logic-based Benders decomposition (LBBD), a general and versatile method for breaking large, complex optimization problems into components that are small enough for practical solution.

Keine ausführliche Beschreibung für "Komplexe Effektivitätsbewertung durch Aufwand-Nutzen-Analyse" verfügbar.

This book contains extended and revised versions of a set of selected papers from two workshops organized by the Euro Working Group on Decision Support Systems (EWG-DSS), which were held in London and Paris, in June and November 2011, respectively.

In this major new collection, leading experts explore the multidisciplinary connections between technology and economy, drawing on new convergences between economic sociology and science and technology studies.

Making Big Decisions Better is leading a global movement to equip present and next generation leaders with proven strategy tools that enable agile thinking that ignites stronger, more predictable, direct paths to profit.

A close look at the main developments in IT, business processes and offshore outsourcing.

This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics.

This book deals with the emergence of intellectual monopolies.

Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization.

Besides scheduling problems for single and parallel machines and shop scheduling problems the book covers advanced models involving due-dates, sequence dependent changeover times and batching.

Advances in Machine Learning and Image Analysis for GeoAI provides state-of-the-art machine learning and signal processing techniques for a comprehensive collection of geospatial sensors and sensing platforms.

Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of physics, chemistry and beyond, to traffic flows, stock market fluctuations, etc.

The literature on economic problems connected with measuring and modelling of welfare and inequality has grown rapidly within the last decade.

This book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving real-world problems.

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.

This book explores optimization under uncertainty and related applications in agriculture, sustainable supply chains and the agrifood industry.

This book explains the theoretical structure of particle swarm optimization (PSO) and focuses on the application of PSO to portfolio optimization problems.

Improving Risk Analysis shows how to better assess and manage uncertain risks when the consequences of alternative actions are in doubt.

In February 2002, the Industrial and Systems Engineering (ISE) De partment at the University of Florida hosted a National Science Founda tion Workshop on Collaboration and Negotiation in Supply Chain Man agement and E Commerce.

Although this may seem a paradox, all exact science is dominated by the idea of approximation.

Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival.

This volume collects peer-reviewed short papers presented at the Optimization and Decision Science conference (ODS 2022) held in Florence (Italy) from August 30th to September 2nd, 2022,  organized by the Global Optimization Laboratory within the University of Florence and AIRO (the Italian Association for Operations Research).

This book provides a handy, unified introduction to the theory of compact extended formulations of exponential-size integer linear programming (ILP) models.

By returning to the source and the source texts, this book deepens the understanding of certain important ideas and notions which affect our present thinking.

Dieses Forschungsvorhaben zielt darauf ab, individuelle Entrepreneure hinsichtlich ihrer Veränderungstendenzen zur Nutzung der Entscheidungslogik Effectuation und Causation zu untersuchen – insbesondere während des Gründungsprozesses.

This volume consists of 14 contributed chapters written by leading experts, offering in-depth discussions of the mathematical modeling and algorithmic aspects for tackling a range of space engineering applications.

This book studies the approximate solutions of optimization problems in the presence of computational errors.

This SpringerBrief bridges the gap between the areas of simulation studies on the one hand, and optimization with natural computing on the other.

Since the 1992 Rio summit, corporate environmental responsibility has grown beyond complying with increasingly stringent environmental regulation and taking up proactive initiatives.

More and more organizations around the globe are expecting that professionals will make data-driven decisions.