Operational research

Credit Portfolio Management is a topical text on approaches to the active management of credit risks.

This updated and expanded second edition adds the most recent advances in participatory planning approaches and methods, giving special emphasis to decision support tools usable under uncertainty.

Operations Research is a field whose major contribution has been to propose a rigorous fonnulation of often ill-defmed problems pertaining to the organization or the design of large scale systems, such as resource allocation problems, scheduling and the like.

This volume recreates the received notion of reflective equilibrium.

This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision making.

Scheduling theory is an important branch of operations research.

The Feature-Driven Method for Structural Optimization details a novel structural optimization method within a CAD framework, integrating structural optimization and feature-based design.

Throughout history, both military and commercial entities around the world have utilized these methods, and even since the formalization of psychological operations during WW2 our methods have improved greatly, but we are still only touching the 'tip of the iceberg', so to speak, of what is truly possible.

This book discusses recent developments in the vast domain of optimization.

This book delves deeply into the research progress on three-way risk decision for risk management under complex social environment.

This book brings together studies broadly addressing human error from different disciplines and perspectives.

Solve real-world business problems by learning how to create common industry key performance indicators and other calculations using DAX within Microsoft products such as Power BI, SQL Server, and Excel.

Supply Chain Analysis: A Handbook on the Interaction of Information, System, and Optimization is a carefully developed work focused on the analysis of supply chain interaction issues in emerging markets and industry sectors.

Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language.

Decision makers in the Renewable Energy sector face an increasingly complex social, economic, technological, and environmental scenario in their decision process.

This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes, held at CMS College, Kerala, India, on 7-10 January 2019.

Business networks are an important economic phenomenon of increasing practical importance throughout Europe.

Most books on inventory theory use the item approach to determine stock levels, ignoring the impact of unit cost, echelon location, and hardware indenture.

This book is dedicated to the consolidation and to the expansion of theoretic systems thinking as a necessary integration of the general reductionist and analytical attitude dominant in our culture.

Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system.

Implement DevOps for Salesforce and explore its featuresKey FeaturesLearn DevOps principles and techniques for enterprise operations in SalesforceImplement Continuous Integration and Continuous Delivery using tools such as Jenkins and Ant scriptUse the Force.

This is a book about making choices based on the evaluation of alternatives.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction toartificial intelligence as a tool in the generation and analysis of healthcare data.

The Proceedings of the Fifth International Conference on Emerging Trends in Mathematical Sciences & Computing (IEMSC-24) contains papers that present the current scientific as well as technological innovations by leading academicians, eminent researchers, and experts throughout the globe in the twin domain of Mathematical Sciences as well as Computing.

Supply Chain Configuration: Concepts, Solutions, and Applications provides a thorough explanation of the supply chain configuration problem and offers solutions that combine the mathematical aspects of problem solving with applications in modern information technology.

Der Autor zeigt anhand eines mathematischen Modells und eines heuristischen Lösungsverfahrens, dass es im Komplettladungsverkehr durch den Aufbau bereits weniger zusätzlicher Unternehmensstandorte für einen Ladungstausch gelingen kann, die Anzahl auswärtiger Übernachtungen des Fahrpersonals zu reduzieren.

This book covers various data scientific approaches to analyze the issue of grid integration of renewable energy for which the grid flexibility is the key to cope with its intermittency.

The book explores cost-effective and efficient supply chain management to achieve resilience in the post-COVID environment.

Computational probability is a set of stochastic methods that has emerged over the past decade that allow researchers and students to solve problems that require exact probability calculations previously considered arduous or intractable.

This book provides a framework to help managers go beyond simply fighting fires every day, offering the tools to address the underlying causes of recurring problems and deliver long-term solutions.

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

The book provides a complete vision about Spanish sustainable renovation of buildings situation at this moment, analysing legal and technological context and opportunities that economic stimulus -by means of direct aids- and the use of BIM methodologies offers a standardization of high scale interventions.

This graduate text develops production theory from a set of reasonable axioms.

Of all the sciences and social sciences, management is the one that most deliberately turns its back on the past.

With the beginning of the twentieth century, American corporations in the chemical and electrical industries began establishing industrial research laboratories.

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.

Intelligent Support Systems for Marketing Decisions examines new product development, market penetration strategies, and other marketing decisions utilizing a confluence of methods, including Decision Support Systems (DSS), Artificial Intelligence in Marketing and Multicriteria Analysis.

The figure of the entrepreneur has become a relevant factor that explains the process of growth and economic development.

Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment: A Remote Sensing Approach reviews multivariate hazards in a non-stationary environment, covering both short and long-term predictions from earth observations, along with long-term climate dynamics and models.

Discrete-event simulation consists of a collection of techniques that when applied to a discrete-event dynamical system, generates sequences called sample paths that characterize its behavior.

This book recapitulates the major developments in Decision Support Systems (DSS) over the last 30 years in order to evaluate the research areas of decision making and in which direction the field should proceed.

Product proliferation has become a common phenomenon.

The theory of optimal decisions in a stochastic environment has seen many new developments in recent years.