Operational research

This monograph discusses the theoretical and practical development of multicriteria decision making (MCDM).

Arne Eimuth untersucht die Gestaltung zielkonsistenter finanzieller Anreizsysteme zur Steuerung einer nachgelagerten Managementebene bei zentral getätigten und bereichsübergreifenden Investitionen.

The International Civil Aviation Organization's (ICAO) decision to require aviation organizations to adopt Safety Management Systems poses a major problem especially for small and medium sized aviation companies.

Knowledge-Driven Work is a pioneering study of the cross-cultural iffusion of ideas about the organization of work.

Based on innovative and unique primary sources (e.

This book explores the methodological and application developments of network design in transportation and logistics.

This text is an introduction to Operations Management.

The present volume is a collective monograph devoted to applications of the optimal design theory in optimization and statistics.

This book presents a selection of current research results in the field of intelligent systems and draws attention to their practical applications and issues connected with the areas of decision-making, economics, business and finance.

Gegenstand des Buches sind die Darstellung, Herleitung und Erläuterung sowohl statischer als auch dynamischer Optimierungsmethoden, die zur Behandlung ökonomischer Modelle benötigt werden.

Over the last few decades, there have been dramatic improvements in the understanding and research of environmental design.

Blockchain technology is considered a disruptive innovation that changes the ways companies and global processes operate.

Society heavily depends on infrastructure systems, such as road-traffic networks, water networks, electricity networks, etc.

Deep Learning for Multi-Sensor Earth Observation addresses the need for transformative Deep Learning techniques to navigate the complexity of multi-sensor data fusion.

This book reports on cutting-edge research and best practices in developing innovative service systems.

This book was motivated by the notion that some of the underlying difficulty in challenging instances of graph-based problems (e.

Dieses Lehrbuch gibt eine gründliche Einführung in die Entscheidungstheorie.

This book serves as an advanced text for a graduate course on stochastic algorithms for the students of probability and statistics, engineering, economics and machine learning.

The business, commercial and public-sector world has changed dramatically since John Oakland wrote the first edition of Statistical Process Control - a practical guide in the mid-eighties.

Analytics is one of a number of terms which are used to describe a data-driven more scientific approach to management.

Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications is a practical guide on implementing different variety of extreme learning machine algorithms to Earth and environmental data.

This book focuses on various topics related to engineering and management of requirements, in particular elicitation, negotiation, prioritisation, and documentation (whether with natural languages or with graphical models).

The COVID-19 pandemic represents an extraordinary inflection point that caught airlines worldwide unprepared, causing CEOs to recalibrate their business models.

The HCISPP certification is a globally-recognized, vendor-neutral exam for healthcare information security and privacy professionals, created and administered by ISC2.

Robert Cooper, who died in 2013, was the leading theorist of organization working in England over the past few decades.

We all live in and with organizations such as companies, project groups, the local authorities, school, associations, churches, political parties and the state.

This book introduces new inventory models to support decision-making when cost of externalities are jointly considered along with costs of logistics.

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.

In an era of systemic crisis and of global critiques of the unsustainable perpetuation of capitalism, Pervasive Powers: The Politics of Corporate Authority critically questions the conditions for the maintenance and expansion of corporate power.

This book examines how people make decisions under risk and uncertainty in operational settings and opens the black box by specifying the cognitive processes that lead to human behavior.

Permanently increasing requirements in power supply necessitate efficient control of electric power systems.

This book illustrates effective decision-making in complex socio-economic systems utilising system dynamics and agent-based simulation modelling approaches.

Growing Your Career with Social Media presents social media tools, current trends and professional development strategies to help busy librarians remain up-to-date.

Many of those interested in the effect of industry on contemporary life are also interested in Frederick W.

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 presents the principal concepts of operations research (OR), the tools for the planning support and the management of various types of networks.

This book is mainly focused on the development of tools for decision-makers in finance, ranging from treasurers of firms to professional investors and bank managers.

Data engineers proficient in Databricks are currently in high demand.

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

Internet is starting to permeate politics much as it has previously revolutionised education, business or the arts.

Building on fundamental results in variational analysis, this monograph presents new and recent developments in the field as well as selected applications.

A guide to advances in machine learning for financial professionals, with working Python codeKey FeaturesExplore advances in machine learning and how to put them to work in financial industriesClear explanation and expert discussion of how machine learning works, with an emphasis on financial applicationsDeep coverage of advanced machine learning approaches including neural networks, GANs, and reinforcement learningBook DescriptionMachine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including in insurance, transactions, and lending.

Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data.